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Will OpenAI have a higher Arena Score than Meta at the end of 2026?

kalshiScience and Technology·2026-10-13·view on kalshi ↗
11%
Agent
12%
Market Price
-1.5%
Edge
62%
Confidence
4,493
Volume
2.0c
Spread
78
Days to resolution
2
Markets in event
final rationale
Mean of 2 draws (0.11, 0.10). (0) The condition is not met. LMArena's official HF dataset (text config, no style control, Oct 8) shows Meta's muse-spark-1.3-max at 1489.57 against OpenAI's gpt-5.5-high at 1471.53, an 18-point Meta lead. Third-party snapshots from Oct 2-12 consistently show Meta ahead by 10-17 points. (a) About 2.5 months remain until the Dec 31 10AM ET snapshot. (b) The status quo resolves No; Meta has three other Muse models above OpenAI's best, and Muse Wonder entered the Text Arena on Oct 12 and may raise Meta's ceiling. (c) No: the GPT-6 variants keep underperforming on human-preference text (GPT-6 Sol reportedly ~1456, Astra ~1475, both below GPT-5.6 Sol), while Wonder or another Meta release lands at 1490+. (d) Yes: OpenAI lists a preference-tuned text model (GPT-6 Instant, GPT-6.5 or similar) scoring ~1495-1500+ by late December while Meta's scores drift or Wonder disappoints; a re-baseline could also reshuffle the order. Against the 12% market anchor, OpenAI's fast release cadence and wide roster keep meaningful tail probability, but the size of the gap and Meta's new entries argue for slightly at or below market.
price vs. prediction
market price agent forecast at t+0
5 follow-ups
1. Planner Opus 5.5 · picks the research tools
Tools chosen: kalshi_direct resolution_source kalshi_related polymarket_related article_search
Planner reasoning
The anchor is the Kalshi market price. The resolution is decided by the LM Arena text leaderboard (no style control), so we fetch it to see the current OpenAI vs Meta top scores. Related Kalshi head-to-head and top-model markets, plus Polymarket's AI-model markets, give cross-market signals on expected releases. The search loops will not specifically target Meta's upcoming model releases, so one article search covers that.
2. Research parallel tool calls + 4 web research loops (Sonnet 5.5) · read raw by the forecasters
at a glance
RESEARCH DIGEST (built in code: tool summaries and each report's bottom line; the forecasters read the full tool outputs and reports) Tools - kalshi_direct: ## This Market's Kalshi Data **OpenAI** (KXLLMH2H-26DEC31METAOPEN-OPEN) - Current price (probability): 12.00% (live; bid 11% / ask 13%) - No daily close yet, so no price history - resolution_source: already_resolved=unclear; matches_criteria=False; last_updated=2026-10-08. In the LM Arena text leaderboard (no style control, Overall, published 2026-10-08), Meta's top model is muse-spark-1.3-max with a score of 1489.57 at rank 12. OpenAI's top model is gpt-5.5-high with 1471.53 at rank 26. Meta currently leads by about 18 points, so the market would resolve No if it were settled today. - kalshi_related: 3 related markets / summaries. series KXLLMH2H: 0 markets (skipped 6 no-signal) | series KXTOPMODEL: 0 markets (skipped 6 no-signal) | series KXLLM1: 0 markets (skipped 24 no-signal) | keyword 'Arena Score': ok | keyword 'top AI model': ok | keyword 'Meta AI model': ok - polymarket_related: Polymarket search over 4 keyword(s), kept 15 matches. keyword 'best AI model end of 2026': 5 markets | keyword 'LMArena': 0 markets | keyword 'Meta AI model': 5 markets | keyword 'OpenAI': 5 markets - article_search: Fetched 15 unique articles across 2 queries (lookback=45d). 'Meta Superintelligence Labs new frontier model release LMArena score 2026': 8 articles | 'OpenAI new model release LMArena rank late 2026': 8 articles Research loops, bottom lines - current state: As of the last snapshots (Aug–early Oct), Meta's best text-board model (Muse Spark 1.2, about 1499–1500, with wide error bands) sat at or above OpenAI's best listed model (GPT-5.6 Sol at 1484), though GPT-6 Astra's text score is unconfirmed. Both labs have fresh or new models (Meta's Muse Wonder on Oct 12, OpenAI's GPT-6 family), so the two companies' top scores could still shift before Dec 31. - base rate: OpenAI has historically sat above Meta on Arena and keeps a deeper roster, including GPT-6 and GPT-6.1 variants that are newly listed or not yet listed. Evidence from Oct 2 shows Meta's best Muse model (about 1489) possibly level with or above OpenAI's best listed (1484), and Meta has new Muse models arriving every 1–2 months. The outside view therefore favours OpenAI, but with a thin margin and real uncertainty. - yes case: The most likely path to YES is that OpenAI gets a preference-tuned text variant onto the board (for example GPT-6 Instant, a GPT-6.x Sol, or a GPT-6.5 release) that scores above about 1494 by Dec 31. That requires Meta's Muse Wonder not to list above its Spark 1.3 score, or to list below it. As of mid-October the live evidence favours Meta by roughly 10 points, so YES needs a real OpenAI change, not just noise. - no case: On the best available Oct 12 data, Meta's top text model (~1495–1498) is about 12–17 points above OpenAI's (~1481–1484). GPT-6 has no confirmed text score, so OpenAI needs a new text release to overtake Meta. Meta also has Muse Wonder arriving on the board and a cadence of a release every 1–2 months, so status quo favours NO.
tools
toolstatustimeitemssummary
kalshi_direct OK 0.2s 1 ## This Market's Kalshi Data **OpenAI** (KXLLMH2H-26DEC31METAOPEN-OPEN) - Current price (probability): 12.00% (live; bid 11% / ask 13%) - No daily close yet, so no price history
resolution_source OK 29.3s 1 already_resolved=unclear; matches_criteria=False; last_updated=2026-10-08. In the LM Arena text leaderboard (no style control, Overall, published 2026-10-08), Meta's top model is muse-spark-1.3-max with a score of 1489.57 at rank 12. OpenAI's top model is gpt-5.5-high with 1471.53 at rank 26. Meta c
kalshi_related OK 11.5s 3 3 related markets / summaries. series KXLLMH2H: 0 markets (skipped 6 no-signal) | series KXTOPMODEL: 0 markets (skipped 6 no-signal) | series KXLLM1: 0 markets (skipped 24 no-signal) | keyword 'Arena Score': ok | keyword 'top AI model': ok | keyword 'Meta AI model': ok
polymarket_related OK 0.6s 15 Polymarket search over 4 keyword(s), kept 15 matches. keyword 'best AI model end of 2026': 5 markets | keyword 'LMArena': 0 markets | keyword 'Meta AI model': 5 markets | keyword 'OpenAI': 5 markets
article_search OK 0.4s 15 Fetched 15 unique articles across 2 queries (lookback=45d). 'Meta Superintelligence Labs new frontier model release LMArena score 2026': 8 articles | 'OpenAI new model release LMArena rank late 2026': 8 articles
research loops · 4/4 ok · 16 searches · 0 page reads
dimensionstatustimesearchespage readsreport
current state OK 28s 5 0 3823 chars
base rate OK 25s 3 0 4476 chars
yes case OK 22s 4 0 5045 chars
no case OK 21s 4 0 5136 chars
report: current state
I could not read the live Arena text leaderboard (arena.ai and lmarena.ai both returned a bot-check page). Everything about its contents comes from third-party snapshots and Arena posts. I did not find any snapshot of the board dated after about Oct 8. - [2026-10-12] Meta released Muse Wonder and Muse Wonder Full, which it calls its first frontier models. Meta's own testing, per TechCrunch, shows benchmark scores comparable to Fable 5.1 and GPT-6 Astra. The API price is $4 in and $20 out per million tokens. Wonder Full is limited to Muse Code subscribers. This is reported through Meta's model card, and I found no Arena listing or score for either model yet. https://techcrunch.com/2026/10/12/meta-releases-its-first-frontier-model-muse-wonder/ - [2026-10-08] Per a Polymarket-tracking page, the Arena text #1 was gemini-4-argon-high (Google) at 1525 ±9, ahead of claude-opus-5.5-high at 1507. https://thesweat.com/predictions/best-ai-model-of-2026/ - [2026-10-02] Manifold's board snapshot put OpenAI's best listed model at gpt-5.6-sol-xhigh, #20 at 1484. It said GPT-6 was not yet listed (OpenAI's own listings are the exception, below). It noted the next five places were Anthropic models at 1501–1505. https://manifold.markets/Terminator2/which-company-will-have-the-1-model - [~2026-09 to 10] Arena's changelog, undated in the snippet (about 41 days old), lists gpt-6-astra-max added to the Text Arena. It also lists Muse Spark 1.3 (Max) added to the Text Arena. I did not get their scores. https://arena.ai/company/leaderboard-changelog - [2026-09-16] Arena reported GPT-6 Astra (Max) at #1 in Code Arena WebDev with 1800 points. That is a different board from the text leaderboard. https://x.com/arena/status/2100321600679928152 - [2026-09-13] A snapshot of the text board showed muse-spark-1.2 at 1500 ±11 on 3,227 votes, level with claude-opus-4-6 at 1497. The source calls it a statistical tie. https://promptowy.com/lmarena/ - [2026-09-02] Another snapshot had muse-spark-1.2 (xHigh) at #4 with 1499 ±10, and muse-spark-1.1 at #8 with 1491. No OpenAI model appears in that top 9 list. https://superpowers-skills.com/en-us/2026/09/02/ai-model-leaderboards-2026.html - [2026-08-31] A pull of the text board showed Meta at #4 with muse-spark-1.2-xhigh-text at 1498 on 3,247 votes. https://ofox.ai/blog/llm-leaderboard-best-ai-models-ranked-2026/ - [2026-09-02] Muse Spark 1.3 shipped, one of four numbered Spark releases (1.0 in April through 1.3). I did not find its Arena score. https://codersera.com/blog/muse-spark-complete-guide-2026/ - [2026-10-07] An aggregator (llmrun.dev) put the top model at Gemini 4 Argon High, 1525.4. It put Kimi K3 at #16 with 1488.1. https://llmrun.dev/benchmark/lmarena-text - [2026-10-13] Arena's home page lists GPT-6 Astra (Max) and GPT-6 Sol (Max) in its agent rankings and shows GPT-6 first-impressions posts. That confirms the GPT-6 family is live on Arena. I saw no text-board score for it. https://arena.ai/leaderboard - [2026-04-27] Arena put GPT-5.5 at #7 on the text board at launch, behind Anthropic. OpenAI has trailed Anthropic and Google on text in 2026. https://x.com/arena/status/2048794479646388732?lang=en BOTTOM LINE: As of the last snapshots (Aug–early Oct), Meta's best text-board model (Muse Spark 1.2, about 1499–1500, with wide error bands) sat at or above OpenAI's best listed model (GPT-5.6 Sol at 1484), though GPT-6 Astra's text score is unconfirmed. Both labs have fresh or new models (Meta's Muse Wonder on Oct 12, OpenAI's GPT-6 family), so the two companies' top scores could still shift before Dec 31. NOT FOUND: the live Arena text leaderboard with style control off (Adjustments: None). Text-board scores for GPT-6 Astra, GPT-6 Sol and Muse Spark 1.3. Any Arena listing or score for Muse Wonder. A dated Oct 9–13 snapshot of the board.
report: base rate
- [2026-10-02] The Arena text board, per a Manifold market-creation note, had Google's gemini-4-argon-high first at 1525. Five Anthropic models followed at 1501–1505. OpenAI's best listed model was gpt-5.6-sol-xhigh at #20 (1484), and GPT-6 was not yet listed. This is a secondary source, and I could not read arena.ai directly because it is behind a bot check. https://manifold.markets/Terminator2/which-company-will-have-the-1-model - [2026-09-02 data] A BenchLM snapshot of Arena data lists Meta's muse-spark-1.2 (xHigh) at 1489 and rank 8. It also lists muse-spark-1.1 at 1479 (#14) and muse-spark at 1474 (#20). These figures look as if they come from a different board date or a different ranking than the Oct 2 figures above. If both are right, Meta's best score (about 1489) could be above OpenAI's best (1484) as of early October. https://benchlm.ai/llm-leaderboard-history - [2026-10-13] BenchLM shows OpenAI as the clear leader on breadth. It has GPT-6 Astra (#2), GPT-6.1 Sol (#4) and GPT-6 Sol on its own benchmark index. Its own table lists GPT-6 Astra at 1475.11 and GPT-6.1 Sol at 1483.72 in an Elo-like column, which probably reflects Arena. Meta's Muse Wonder Full ranks #11 and its Muse Wonder and Muse Wonder Full were released on 2026-10-12. https://benchlm.ai/ - [2026-10-13] BenchLM's release feed lists "Muse Wonder" and "Muse Wonder Full" from Meta on 2026-10-12. Their Arena scores are not yet known. https://benchlm.ai/llm-leaderboard-history - [2026-09 approx] VentureBeat reported that Meta's Muse Spark 1.3 arrived about a month after 1.2. Meta's best results come from a model developers cannot yet use broadly. Meta has shipped Muse Spark on 2026-04-08, 1.1 on 07-09, 1.2 on 08-05, and 1.3 in September, so it releases about every 1–2 months. https://venturebeat.com/technology/meta-says-muse-spark-1-3-has-frontier-performance-but-its-best-results-come-from-a-model-developers-cant-broadly-use-yet - [2026-08-05] Artificial Analysis rated Muse Spark 1.2 at 54 at launch and 57 after re-scoring. It put GPT-5.6 Sol at 61 after re-scoring. Meta is close to, but still behind, OpenAI's flagship on this independent index. https://www.orcarouter.ai/blog/muse-spark-1-2-vs-gpt-5-6-sol - [2026-10-12] Arena's changelog shows Meta's muse-spark, muse-spark-1.1 and Muse Spark 1.2 were added to Text or Agent boards. It shows OpenAI's GPT-5.6 Sol and Terra were added too. Both firms are actively listed. Preliminary models count under the rules. https://arena.ai/company/leaderboard-changelog - [Historical] The Llama 4 Maverick episode in April 2025 is a precedent: an experimental Meta variant scored high on LMArena and drew a policy change. In the reference class of Arena history, OpenAI has typically sat above Meta since 2023. Meta's recent Muse models (1474–1489) now sit close to OpenAI's 1484 best. https://en.wikipedia.org/wiki/Arena_(AI_platform) - [2026-09] BenchLM counts 19 Arena #1 changes across 7 providers over 41 months. The longest reign was five months, by gemini-2.5-pro. That shows the leaderboard turns over fast. https://benchlm.ai/llm-leaderboard-history - [2026-10-02] A Manifold bot gave OpenAI 13% to hold #1 at the end of October. It treated GPT-6 as an unlisted upside. The market itself showed OpenAI at 3%. That is a #1 market and does not bear directly on OpenAI versus Meta. https://manifold.markets/Terminator2/which-company-will-have-the-1-model - [2026-08] A secondary blog described GPT-5.5 Pro at about 1510 and GPT-5.5 at about 1506 on Arena in August. It also noted that Arena re-baselined scores on 2026-07-12. Scores therefore shift with methodology. This source is low quality and conflicts with the 1484 figure for OpenAI's top model on Oct 2. https://localaimaster.com/blog/lmarena-chatbot-arena-leaderboard BOTTOM LINE: OpenAI has historically sat above Meta on Arena and keeps a deeper roster, including GPT-6 and GPT-6.1 variants that are newly listed or not yet listed. Evidence from Oct 2 shows Meta's best Muse model (about 1489) possibly level with or above OpenAI's best listed (1484), and Meta has new Muse models arriving every 1–2 months. The outside view therefore favours OpenAI, but with a thin margin and real uncertainty. NOT FOUND: The live arena.ai text leaderboard (Adjustments: None), which was blocked. Muse Wonder's or GPT-6's Arena scores. Any Kalshi or Polymarket OpenAI-versus-Meta contract and its track record. Any consistent single-date snapshot for both firms' top models.
report: yes case
YES means: On Dec 31, 2026 at 10:00 AM ET, OpenAI's best Overall-category model on the LM Arena text leaderboard (Adjustments: None, preliminary models included) has a higher Arena Score than Meta's best. A tie goes to the higher-ranked model. - [2026-10-13] The current gap favours Meta, so YES has to come from OpenAI closing it. PandaNpc mirrors the Arena text board (marked "Updated Oct 2") with Meta's muse-spark-1.3-max at 1494 ±6 (#9, 12,343 votes). muse-spark-1.2 (xHigh) is at 1494 and muse-spark-1.1 at 1491. OpenAI's best on that page is gpt-5.6-sol-xhigh at 1484 ±4 (#20). OpenAI therefore trails by about 10 points, and the intervals do not overlap. https://pandanpc.com/leaderboard/chat - [2026-10-08] OpenAI's newest models are already listed, and the gap among them is small. Per kie.ai's Oct 8 snapshot, GPT-6.1 Sol is at 1484, GPT-6 Astra at 1475 and GPT-6 Luna at 1443. The page says the Sol and Astra ranges overlap. The listed GPT-6.1 Sol score matches the older GPT-5.6 Sol 1484, so OpenAI is at a floor of 1484, 10 points under Meta's best. https://kie.ai/gpt-6-1-sol - [2026-10-13] The GPT-6 family has been listed for only weeks and most OpenAI entries have few votes. A source dated 2026-10-13 notes that new entries have wide intervals and swing in rank. That is the mechanism for a late OpenAI rise: scores settle as votes accumulate, and Arena has re-baselined before (July 12, per a colleague's report). The source also shows Meta's 1.3-max already has 12k votes and ±6, so Meta's score is firmer. https://pandanpc.com/leaderboard/chat - [2026-10-13] A competing aggregator reads the same board differently, with GPT-6 Sol at #67 on Arena text at 1455.9, below GPT-5.6 Sol. That was the report as of roughly Oct 8–13. This is a negative for YES, but it shows OpenAI's ChatGPT default is weaker on Arena than the model it replaced. The Yes path therefore depends on OpenAI shipping a model tuned for human preference, not on GPT-6 Sol. https://felloai.com/best-ai-models/ - [2026-10-07] OpenAI shipped GPT-6 Instant ("Intelligent UI") in ChatGPT, bringing interactive widgets and visual answers. It reached free users a day later (Wikipedia, GPT-6, and Releasebot). Conversational and visual formatting tends to help in human-preference votes. If OpenAI lists this variant on the Arena text board with enough votes, it is the most direct route to a score above 1494. I found no Arena listing for it yet. https://en.wikipedia.org/wiki/GPT-6 - [2026-10-12] Meta's new Muse Wonder models have no Arena text listing yet, and the evidence on their strength is mixed. Artificial Analysis scored Wonder at 52 and Wonder Full at 56 on its Intelligence Index, against 48 for Muse Spark 1.3. Wonder Full is limited to Muse Code subscribers, so it may not reach Arena. The API-available Wonder scores 52, level with GPT-6 Astra (53) and Gemini 4 Argon (53). That argues for Meta rising rather than falling. For YES, a Wonder listing would have to score below Spark 1.3. https://x.com/ArtificialAnlys/status/2109697083519447118 - [2026-10-12] Meta's Wonder launch is framed around coding, legal and agent work. Meta's own comparisons put Wonder Full ahead on long coding runs. Meta's text-board strength so far has come from the Spark line (1474–1494). A model tuned for agentic work does not necessarily gain text-arena preference. If Wonder lands below 1494, Meta's best stays at Spark 1.3. https://ijr.com/discover/tech-2026-10-12-meta-releases-muse-wonder-claims-ai-benchmark-gains-d73b5e62 - [2026-10-13] OpenAI's lead on non-preference measures could carry over to the text board. BenchLM ranks GPT-6 Astra #2 of 220 overall (83.26), against Muse Wonder #16 (70.44) and Wonder Full #11 (74.13). OpenAI tops the GPQA board (96%). OpenAI also has more model variants, and the rule takes the single best model per company. Only one of its many entries has to beat Meta's best. https://benchlm.ai/models/gpt-6-astra - [2026-10-13] Meta's lead rests on a narrow base. Its best is a Spark model at 1494, below Google's 1525 and near Anthropic's 1494–1505 cluster. Past turnover on the board has been fast: BenchLM counted 19 #1 changes across 7 providers in 41 months (a colleague's report). The roughly 10-point gap is within the range of a single new release or re-baseline. https://pandanpc.com/leaderboard/chat BOTTOM LINE: The most likely path to YES is that OpenAI gets a preference-tuned text variant onto the board (for example GPT-6 Instant, a GPT-6.x Sol, or a GPT-6.5 release) that scores above about 1494 by Dec 31. That requires Meta's Muse Wonder not to list above its Spark 1.3 score, or to list below it. As of mid-October the live evidence favours Meta by roughly 10 points, so YES needs a real OpenAI change, not just noise. NOT FOUND: The live arena.ai text leaderboard with Adjustments: None (blocked). Any Arena text score for Muse Wonder, Muse Wonder Full or GPT-6 Instant. A dated Oct 9–13 board snapshot (the PandaNpc table is marked Oct 2). Any announced OpenAI release scheduled for Q4 2026.
report: no case
YES means: OpenAI's top model has a higher Arena Score than Meta's top model on the LM Arena text leaderboard (Overall, Adjustments: None, preliminary models counted) on Dec 31, 2026 at 10:00 AM ET. - [2026-10-12] A third-party aggregator dated Oct 12 shows Meta ahead of OpenAI on text scores. Muse Spark 1.2 is at 1498, Muse Spark 1.3 at 1495 and Muse Spark 1.1 at 1489. OpenAI's best are GPT-5.5 at 1482 and GPT-5.6 Sol at 1481. That is a 16-point Meta lead. I could not load the page directly (403), so this comes from the search snippet. The aggregator lists no GPT-6 text score. https://anotherwrapper.com/tools/llm-pricing/evals/arena-text-elo - [2026-08 to 09] BenchmarkList's Muse Spark 1.2 page shows 1498.64 on the Arena text board, with a 95% interval of 1488–1509 on 3,245 votes. It describes this as +43.5 points over GPT-5.6 Sol. Its Muse Spark page shows the original Muse Spark at 1488.33, +21.7 over GPT-5.6 Sol. Even Meta's oldest Muse model out-scores OpenAI's flagship on this board. https://benchmarklist.com/models/meta-muse-spark-1.2/ - [2026-10-12] Arena says Muse Wonder is now in the Arena, including the Text and Vision boards. Scores are "coming soon". Meta's new frontier model will accrue text votes and get a rating by Dec 31, and it is a third Meta flagship candidate after Spark 1.2 and 1.3. https://x.com/arena/status/2109706854700044523 - [2026-10-12] Independent evaluation puts Muse Wonder Full second and Muse Wonder level with GPT-6.1 Sol on the Artificial Analysis index. This is a different benchmark from Arena. It still shows Meta's new models are not behind OpenAI's current top tier. https://cellcog.ai/blog/muse-wonder/ - [2026-09 to 10] Arena's changelog shows both gpt-6-astra-max and Muse Spark 1.3 (Max) added to the Text Arena in the same window. As of Oct 12 aggregator data, Spark 1.3 shows 1495, and I found no GPT-6 text score. Roughly six weeks after listing, OpenAI's GPT-6 does not appear to have raised OpenAI's top text score above 1484 or above Meta's. https://arena.ai/company/leaderboard-changelog - [2026-09-11] GPT-6 Astra's Arena strength shows up in WebDev, where it has led, not in text. On the Code Arena WebDev board, an Oct-dated review places Claude Opus 5.5 ahead of GPT-6 Astra (1813 vs 1786). The same review puts Astra 42nd on Arena's creative-writing board. Evidence of OpenAI's text-preference weakness: GPT-6 is optimised for agentic and reasoning work, which does not map onto text-preference votes. https://felloai.com/best-ai-models/ - [2026-09-11] Meta's Muse Spark 1.3 (Max) is at #13 in Agent Arena. Its Chat category sits at #17, up slightly from 1.2. Meta's text-chat strength has stayed stable across versions, and its releases are not falling off the text board. https://x.com/arena/status/2098416601162727586 - [2026-04-10] Meta's first Muse Spark debuted at #3 tied on the Arena text board at launch. Meta has been competitive on text since April and has kept that standing across four Spark releases. OpenAI's GPT-5.5 landed at #7 in April (per the colleague report). https://x.com/arena/status/2042726806038680019?lang=en - [2026-10-12] Meta's release cadence is one new model every 1–2 months (Spark 1.0 to 1.3, then Wonder on Oct 12). Artificial Analysis called Spark 1.3 the "fourth Muse Spark model release in five months". Another release before Dec 31 is plausible, and Meta only needs its best model to exceed OpenAI's. https://x.com/ArtificialAnlys/status/2095247787277553929 - [2026-10-08] The Arena board is a moving target. The Oct 12 changelog shows Mistral, Claude Sonnet 5.5 and others being added. The top of the board is crowded with Anthropic and Google models at 1501–1525. OpenAI would need to pass Meta's ~1495–1498 by Dec 31. From 1481–1484 that is a gap of about 12–17 points, larger than a typical ±9–11 confidence band. https://techcrunch.com/2026/10/08/popular-ai-leaderboard-arena-nearly-doubles-valuation-to-3-1b-valuation-in-10-months/ - [2026-10-12] Resolution technicalities that favour NO or add risk. The market uses the default style-control-off view and "Preliminary models count". Meta's Muse models are already on the board, and early-vote Meta entries can be rated high. A tie goes to the higher-ranked model on the board. Neither company's top score is unambiguous until Dec 31. https://arena.ai/company/leaderboard-changelog BOTTOM LINE: On the best available Oct 12 data, Meta's top text model (~1495–1498) is about 12–17 points above OpenAI's (~1481–1484). GPT-6 has no confirmed text score, so OpenAI needs a new text release to overtake Meta. Meta also has Muse Wonder arriving on the board and a cadence of a release every 1–2 months, so status quo favours NO. NOT FOUND: A direct read of arena.ai/leaderboard/text with Adjustments: None. Any text score for GPT-6 Astra, GPT-6 Sol, GPT-6.1 Sol or Muse Wonder. A snapshot of the board dated after Oct 12 that shows both firms' top models together. One caveat: some sources conflict. For example, an Oct-dated swfte snapshot shows a different top model, and a localaimaster blog shows GPT-5.5 near 1506, so the scores above are not fully reliable.
3. Forecasters 2 draws · Opus 5.5 + GPT · plain mean
claude-opus-5-5 · high effort
62% conf
Yes 11%
No 89%
(0) The condition is not met. LMArena's official HF dataset (text config, no style control, Oct 8) shows Meta's muse-spark-1.3-max at 1489.57 against OpenAI's gpt-5.5-high at 1471.53, an 18-point Meta lead. Third-party snapshots from Oct 2-12 consistently show Meta ahead by 10-17 points. (a) About 2.5 months remain until the Dec 31 10AM ET snapshot. (b) The status quo resolves No; Meta has three other Muse models above OpenAI's best, and Muse Wonder entered the Text Arena on Oct 12 and may raise Meta's ceiling. (c) No: the GPT-6 variants keep underperforming on human-preference text (GPT-6 Sol reportedly ~1456, Astra ~1475, both below GPT-5.6 Sol), while Wonder or another Meta release lands at 1490+. (d) Yes: OpenAI lists a preference-tuned text model (GPT-6 Instant, GPT-6.5 or similar) scoring ~1495-1500+ by late December while Meta's scores drift or Wonder disappoints; a re-baseline could also reshuffle the order. Against the 12% market anchor, OpenAI's fast release cadence and wide roster keep meaningful tail probability, but the size of the gap and Meta's new entries argue for slightly at or below market.
claude-opus-5-5 · high effort
62% conf
Yes 10%
No 90%
(0) Not resolved yet. LMArena's official Hugging Face dataset (text config, no style control, dated 2026-10-08) shows Meta's muse-spark-1.3-max at 1489.57 (#12) against OpenAI's best, gpt-5.5-high, at 1471.53 (#26). Meta leads by about 18 points with non-overlapping confidence intervals, and Meta has three more models above OpenAI's best. Third-party snapshots from Oct 2 to Oct 12 agree that Meta leads by roughly 10–17 points. (a) About 11 weeks remain until the Dec 31, 10:00 AM ET reading. (b) If nothing changes, the market resolves No. The GPT-6 family is already listed and has not lifted OpenAI's text score; some aggregators put GPT-6 Sol well below GPT-5.6 Sol. (c) NO: Meta's Muse Wonder, just added to the Text Arena, lists at or above Spark 1.3, or Meta keeps its 1–2 month release cadence. OpenAI's agent- and reasoning-tuned GPT-6 variants keep underperforming on text preference. (d) YES: OpenAI puts a preference-tuned model on the text board before Dec 31 (e.g. GPT-6 Instant, GPT-6.5, or a holiday release) that scores above roughly 1490–1500 with Meta's best stalled. A board re-baseline that reshuffles scores could also do it. Historically OpenAI sat above Meta, and it has a deep roster where only one model needs to win, which keeps YES non-trivial. The Kalshi anchor of 12% looks about right. Meta's new Wonder entry adds downside for YES, so I shade slightly lower to 10%.
4. Final plain mean of 2 draws
11% (62% confidence)
Yes: 11% No: 90%
Mean of 2 draws (0.11, 0.10). (0) The condition is not met. LMArena's official HF dataset (text config, no style control, Oct 8) shows Meta's muse-spark-1.3-max at 1489.57 against OpenAI's gpt-5.5-high at 1471.53, an 18-point Meta lead. Third-party snapshots from Oct 2-12 consistently show Meta ahead by 10-17 points. (a) About 2.5 months remain until the Dec 31 10AM ET snapshot. (b) The status quo resolves No; Meta has three other Muse models above OpenAI's best, and Muse Wonder entered the Text Arena on Oct 12 and may raise Meta's ceiling. (c) No: the GPT-6 variants keep underperforming on human-preference text (GPT-6 Sol reportedly ~1456, Astra ~1475, both below GPT-5.6 Sol), while Wonder or another Meta release lands at 1490+. (d) Yes: OpenAI lists a preference-tuned text model (GPT-6 Instant, GPT-6.5 or similar) scoring ~1495-1500+ by late December while Meta's scores drift or Wonder disappoints; a re-baseline could also reshuffle the order. Against the 12% market anchor, OpenAI's fast release cadence and wide roster keep meaningful tail probability, but the size of the gap and Meta's new entries argue for slightly at or below market.
Pipeline Timing
Total pipeline time: 65.1s
Per-tool research timings shown in the Research section above.