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

- [2026-10-08] The Arena text leaderboard (Overall) was last updated on this date. It lists 414 models and 8.73M votes. The best Meta entry is muse-spark-1.3-max at 1494 ±6, rank 9 (Meta, proprietary). The best OpenAI entry is gpt-5.6-sol-xhigh at 1485 ±4, rank 20. Other OpenAI entries: gpt-6.1-sol-max 1484 ±9 (rank 21), gpt-5.5-high 1482, gpt-6-astra-max 1475 ±7. On this snapshot Meta leads OpenAI by about 9 points. https://lmarena.ai/leaderboard/text - [2026-10-08] Other Meta entries on the same snapshot: muse-spark-1.2 (xHigh) 1492, muse-spark-1.1 1491, muse-spark 1489. Meta has four entries above the top OpenAI model, and OpenAI has none above Meta's best. https://lmarena.ai/leaderboard/text - [2026-10-08] The leaders are Google's gemini-4-argon-high at 1525 (preliminary) and Anthropic's claude-opus-5.5-high at 1507. Neither is relevant to the Meta-vs-OpenAI comparison. https://lmarena.ai/leaderboard/text - Caveat on the snapshot above: the rendered page's text did not show whether the Style Control or the "None" adjustment was selected. The question requires "None" (style control removed). A 2026-10-02 third-party page labelled its Arena ratings "with style control", so style-control and no-style-control scores may differ. I could not verify which view the 1494 and 1485 figures come from. https://designforonline.com/ai-models/openai-gpt-6-1-sol/ - [2026-09-29] OpenAI released GPT-6.1 Sol at DevDay. It followed GPT-6 Sol and Luna on 2026-09-22 and GPT-6 Astra earlier. https://blenderai.org/models/gpt-6-1-sol - [2026-09-29] gpt-6.1-sol-max (1484 ±9) is only provisionally settled, with 4.5k votes. Its score could still move as votes accumulate. https://lmarena.ai/leaderboard/text - [2026-09-30 to 2026-10-02] Arena posted GPT-6.1 Sol (Max) results for the Agent Arena (#5) and Code Arena WebDev (#3, 1759 points). In those arenas GPT-6.1 Sol is a clear step up from GPT-6 Sol, but its text score is roughly flat with GPT-5.6 Sol. https://x.com/arena/status/2106109027923140928 - [2026-09-02] Meta released Muse Spark 1.3. Arena added it to Text, WebDev, Vision and Document the same day. At launch the max reasoning tier was reportedly gated behind safety testing, which would explain why the 1.3-max text score appeared later. https://x.com/arena/status/2095249508452241633 and https://www.eesel.ai/blog/meta-muse-spark-13-review - [2026-09-02] An earlier snapshot, a third-party table of the Arena text board published about this date, showed muse-spark-1.2 (xHigh) at #4 (1499) and Meta ahead of OpenAI (gpt-5.6-sol-xhigh 1483, #15). Meta has led OpenAI for at least about six weeks. https://superpowers-skills.com/en-us/2026/09/02/ai-model-leaderboards-2026.html - [2026-08-10] Meta released Muse Glimmer, a 30B open-weight agentic model. It said Muse Spark 1.2 would be open-weighted "soon". Neither affects the proprietary text ranking. https://explainx.ai/blog/meta-llama-4-open-source-models-guide-2026 - [2026-04-08] Meta launched Muse Spark. Arena placed it at #3 in Text, tied with Gemini-3.1-Pro and Claude-Opus-4.6. Meta's cadence since then: 1.1, 1.2 (Aug 5), 1.3 (Sep 2), roughly one release a month. https://x.com/arena/status/2042726806038680019 - [2026-10-13] I found no announcement of a Meta or OpenAI model scheduled before 2026-12-31. OpenAI has just completed the GPT-6 family (Astra, Sol, Luna, 6.1 Sol). Meta has said it has "larger models in development" (April 2026). https://about.fb.com/news/2026/04/introducing-muse-spark-meta-superintelligence-labs/ BOTTOM LINE: On the 2026-10-08 Arena snapshot, Meta's top model (muse-spark-1.3-max, 1494) is about 9 points above OpenAI's top (gpt-5.6-sol-xhigh, 1485). Meta has led for at least six weeks, but the gap is within the confidence intervals. Meta releases roughly monthly and OpenAI's newest 6.x models have not raised its text score. NOT FOUND: Confirmation that the snapshot figures are the "Adjustments: None" view. The arena.ai page returned 403. Any dated release schedule for new Meta or OpenAI models before 2026-12-31. A final score for muse-spark-1.3 under no style control separate from the max tier.

- [2026-10-08] The Arena text leaderboard (Overall, Adjustments: None) is the resolution source. As of its Oct 8 update, Meta's top model is muse-spark-1.3-max at 1494±6, rank 9. OpenAI's top model is gpt-5.6-sol-xhigh at 1485±4, rank 20. The next OpenAI entry is gpt-6.1-sol-max at 1484±9. Meta leads OpenAI by about 9 points today. https://lmarena.ai/leaderboard/text - [2026-10-08] The same board shows Google's gemini-4-argon-high first at 1525 (marked Preliminary) and Anthropic's claude-opus-5.5-high second at 1507. Meta holds four of the top 15 slots (muse-spark 1.3-max, 1.2, 1.1 and the base model, at 1489–1494). OpenAI's best entries sit at ranks 20–35. https://lmarena.ai/leaderboard/text - [2026-09-02] Reference-class evidence: Meta has led OpenAI on this board for at least about 6 weeks. A Sept 2 snapshot had muse-spark-1.2 (xHigh) at 1499 (#4), against OpenAI's gpt-5.6-sol-xhigh at 1483 (#15). The gap was about 16 points then and about 9 now. https://superpowers-skills.com/en-us/2026/09/02/ai-model-leaderboards-2026.html - [2026-08-31] A second snapshot shows Meta's muse-spark-1.2-xhigh-text at 1498 (#4) and a Meta model at 1490 (#8). Both are ahead of the OpenAI entries listed. This snapshot is a third-party aggregator and I did not verify it against the primary board. https://ofox.ai/blog/llm-leaderboard-best-ai-models-ranked-2026/ - [2026-04-08] Meta shipped its first Meta Superintelligence Labs (MSL) model, Muse Spark (codename Avocado), after delays from March. Meta said larger models are in development. There have been about 4 successive Muse releases in 6 months. Spark 1.3 came out on Sep 2 and Muse Wonder on Oct 12, so Meta is releasing roughly monthly. https://www.cnbc.com/2026/04/08/meta-debuts-first-major-ai-model-since-14-billion-deal-to-bring-in-alexandr-wang.html - [2026-10-12] Meta's research page lists "Introducing Muse Wonder" (Oct 12, 2026), described as a frontier model for agentic tasks. Muse Spark 1.3 is dated Sep 2, 2026. Muse Wonder is not yet on the text board in the Oct 8 snapshot. Its Arena text score is unknown. https://ai.meta.com/research/ - [2026-10-08] OpenAI is also shipping into the board. gpt-6.1-sol-max (1484, ±9, only 4.5k votes) and gpt-6-astra-max (1475) are new entries. Preliminary or low-vote scores can move, and a new OpenAI flagship could pass Meta by Dec 31. https://lmarena.ai/leaderboard/text - [2026-10-13] Polymarket's year-end #1 market (top-1 company on the board, a different question) prices OpenAI at about 9% and Meta at about 3%. Google is at about 43% and Anthropic at about 42%. This is an indirect signal. It says little about the OpenAI-versus-Meta head-to-head, because the gap between them is small compared with the gap to the leaders. https://thesweat.com/predictions/best-ai-model-of-2026/ - [2026-08 to 2026-09] Kalshi "takes #1 at any point in 2026" odds (via a defirate snapshot, about 16 days old) were OpenAI 17% and Meta 13%. Kalshi year-end best-AI prices (a snapshot about 24 days old) had ChatGPT at 13.1%. These show the market sees OpenAI as the likelier long-run frontier challenger despite Meta's current lead. https://defirate.com/prediction-markets/best-ai-model-odds-this-year/ - [2026-10-08] Historical volatility: top-model scores on this board have been tightly bunched, with many models within 20 points and ±4–9 confidence intervals. The leader has rotated among Google, Anthropic and others month to month in 2026 (Kalshi monthly top-model markets). Gaps of 10–15 points between labs can be closed by a single release. https://kalshi.com/markets/kxtopmodel/top-model/kxtopmodel-26feb28 - [2026-10-08] Rules mechanics: "Preliminary" models count. Only the highest score per organization matters, so each lab's max across all its entries is what is compared. A tie goes to the higher-ranked model. The organization label is taken from the board, so it is "Meta" and "OpenAI". https://lmarena.ai/leaderboard/text - [2026-07 to 2026-10] Pre-launch reporting said Avocado and Meta's models were sub-frontier, but the Arena scores for Muse Spark 1.1–1.3 are above every OpenAI model on the board. That suggests Meta does well on Arena's style-sensitive human-preference voting. https://ofox.ai/blog/llm-leaderboard-best-ai-models-ranked-2026/ BOTTOM LINE: Meta currently leads OpenAI by about 9 points (1494 vs 1485), and has led for roughly 6 or more weeks, which sets the base rate for the status quo holding at about 12 weeks to go. The outcome depends on whether OpenAI ships a higher-scoring model, or Meta ships a stronger one, before Dec 31. Both labs release roughly monthly, and the gap is within about 1–2 confidence intervals. NOT FOUND: I found no direct Kalshi or Polymarket price for this specific Meta-versus-OpenAI contract (excluded by instruction), and no expert forecasts of the head-to-head. I also found no published Arena score for Muse Wonder, and no OpenAI release schedule for the rest of 2026. I found no historical series of the Meta-versus-OpenAI gap before Aug 2026.

YES means: On Dec 31, 2026 at 10:00 AM ET, Meta's best model on the Arena text leaderboard (Overall, Adjustments: None) has a higher Arena Score than OpenAI's best model. A tie goes to the higher-ranked model. - [2026-10-12] Meta launched Muse Wonder and Muse Wonder Full, which TechCrunch calls its first frontier-class models. TechCrunch says they are "larger and said to be more capable" than the Spark line, and were trained at the Prometheus data center in Ohio. Zuckerberg called them "a much larger and more advanced class of models". This is the first Meta release above the Spark tier, and it is not yet on the text board. The earlier reports only said "larger models in development". https://techcrunch.com/2026/10/12/meta-releases-its-first-frontier-model-muse-wonder/ - [2026-10-12] Artificial Analysis rates Wonder Full (max) at 56 and Wonder (max) at 52 on its Intelligence Index v4.3. Muse Spark 1.3 (max) scored 48, so Wonder Full is up 8 points after a 6-week release gap. Wonder Full is about 3 points above GPT-6 Astra (53). Wonder is a point below it. The text-board mix of Wonder Full and Wonder could therefore beat OpenAI's Astra-class entries. Spark already sat above all OpenAI entries on Arena despite a lower AA score. https://artificialanalysis.ai/articles/muse-wonder - [2026-10-12] Mechanism: Meta already out-scores OpenAI on Arena at a lower capability level. The AA index had Spark 1.3 at 48 and GPT-5.6 Sol and GPT-6.1 Sol at about 53–54 on one aggregator, and Spark still led on Arena by about 9 points. If Wonder adds capability without losing Spark's style appeal, the Arena gap should widen, not close. https://llm-stats.com/ - [2026-10-12] Independent reporting shows both Wonder models score above OpenAI's current flagship GPT-6 Astra on AA, and VentureBeat says Wonder Full ties Claude Sonnet 5.5. OpenAI's own newest Arena entries have not beaten GPT-5.6 Sol. https://venturebeat.com/technology/metas-new-muse-wonder-and-muse-wonder-full-models-achieve-frontier-performance-but-only-the-weaker-one-is-available-via-api - [2026-10-12] Wonder (API) is priced at $4/$20 per million tokens and is on the Meta Model API. Because it is API-served, Arena can list it quickly, as it did for Spark 1.3, which was listed on release day. Wonder Full is Muse Code-only and not on the API, so it may not be listed. The path to YES works through plain Wonder alone. https://tech.yahoo.com/ai/meta-ai/articles/metas-muse-wonder-finally-puts-204604330.html - [2026-10-02] A second snapshot of the board (a pandanpc mirror, dated Oct 2) matches the Oct 8 figures. It has four Meta entries at 1489–1494 on the board, with the best OpenAI model, gpt-5.6-sol-xhigh, at 1484 ±4 on 36,656 votes. That score is well settled, so it is unlikely to drift upward. OpenAI's best entry has a tight interval, unlike Meta's newer ones. https://pandanpc.com/leaderboard/chat - [2026-10-02] Meta's leading entries are on small vote counts: muse-spark-1.3-max has 12.3k votes and spark-1.2 xHigh has 4.4k. The Meta lead is held by several correlated entries, not a single outlier. Even if the 1.3-max score slips a few points, Meta's 1.1 and 1.2 entries (1491–1494) stay above OpenAI's 1484. https://pandanpc.com/leaderboard/chat - [2026-09-23] OpenAI has a nominal cadence of a point release every 6–10 weeks, and GPT-7 is not expected until 2027 (Pluralsight). The Pluralsight piece is undated, and Wikipedia and LifeArchitect list no named OpenAI release after GPT-6.1 Sol. For YES, OpenAI's text ceiling needs to stay near 1485 through Dec 31. https://www.pluralsight.com/resources/blog/ai-and-data/gpt-7 - [2026-10-12] Meta ships on a short cycle: Spark 1.2 (Aug 5), Spark 1.3 (Sep 2), Wonder (Oct 12). Another Wonder or Spark update before Dec 31 is plausible. Each release has raised or held Meta's best Arena score: 1474 (Spark), 1479–1491 (1.1), 1494–1499 (1.2), and 1494 for 1.3-max. https://benchlm.ai/llm-leaderboard-history - [2026-10-12] Counter-signal worth noting: Abacus.AI's CEO said Wonder is "nowhere near" competing models. Arena votes track style and preference, not agentic benchmarks. Wonder's gains are largest in agentic work (Terminal-Bench, GDPval), and Knowledge on AA-Omniscience is flat versus Spark 1.3 (25–30). An agent-focused model could therefore score no higher than 1494 on text. https://www.cryptobreaking.com/meta-releases-muse-wonder-ai/ BOTTOM LINE: The single most likely path to YES is the status quo. Meta's Spark entries (1489–1494) stay above OpenAI's settled 1484, and Wonder adds upside because its AA index score is up 4–8 points on Spark 1.3. It requires OpenAI not to post a text score above about 1494 by Dec 31, and Meta's Spark entries to hold through vote drift. NOT FOUND: An Arena text score for Muse Wonder or Wonder Full, and confirmation that the Oct 2 and Oct 8 figures are the "Adjustments: None" view. I also found no dated OpenAI model release plan for Q4 2026, and no Arena statement about listing Wonder Full.

YES means: on the LM Arena text leaderboard (Overall, Adjustments: None) at 10:00 AM ET on 2026-12-31, Meta's best model has a strictly higher Arena Score than OpenAI's best model (a tie goes to the higher-ranked model). Note: the best NO case is weak. The strict "None" view favours Meta more than the figures in the earlier reports do. These bullets set out the paths to NO and then size them. - [2026-10-08] The "None" view (Overall, Oct 8, 414 models) differs from the figures in the earlier reports. Meta's muse-spark-1.3-max is at 1490 ±6 (rank 12). OpenAI's best visible entry is gpt-5.5-high at 1472 ±4 (rank 26). The earlier reports' 1494 vs 1485 is probably the style-control view. In "None", Meta leads by about 18 points. The NO case therefore needs a larger swing than the earlier reports implied. https://arena.ai/leaderboard/text/overall-no-style-control - [2026-10-08] In that same "None" view, gpt-5.6-sol-xhigh is only 1457 ±4 (rank 42). gpt-5.6-terra-xhigh is 1447. No GPT-6.x entry appears in the top 57 rows I could read; the rendered page was truncated after row 57. OpenAI's newest releases (GPT-6 Astra, Sol, Luna, 6.1 Sol) have not lifted its raw-preference score. Any NO path needs a new OpenAI model to add roughly 20 points or more over its current best. https://arena.ai/leaderboard/text/overall-no-style-control - [2026-10-08] Meta's own scores in "None" are noisy and uneven across variants. muse-spark-1.2 (xHigh) is at 1482 ±8 with 6k votes, and muse-spark-1.1 is at 1479. Meta's lead rests on one entry, muse-spark-1.3-max (14.7k votes, ±6). If that entry drifts down by 10–15 points as votes accumulate, the lead disappears. The other Meta entries are already below 1482. https://arena.ai/leaderboard/text/overall-no-style-control - [2026-10-12] The strongest NO mechanism is Meta's new flagship, Muse Wonder / Muse Wonder Full. It was launched Oct 12 and is an agent- and coding-focused model. Independent benchmarks put Wonder Full only level with Claude Sonnet 5.5, and the API model one point below GPT-6 Astra. The text Arena has no Wonder score yet. If Wonder is tuned for agents and is not preferred in chat voting, Meta's text headline could stagnate. It could even push Meta's usable focus away from Spark-style chat tuning. This is a risk, not evidence of a drop. https://venturebeat.com/technology/metas-new-muse-wonder-and-muse-wonder-full-models-achieve-frontier-performance-but-only-the-weaker-one-is-available-via-api - [2026-10-12] Wonder Full is subscription-only (Muse Code) and not on the API. Arena typically tests API-accessible or provider-supplied endpoints, so the top Wonder tier may never reach the text board. The API Wonder scored 52 on the Artificial Analysis index, one point below GPT-6 Astra at 53. That does not suggest a large text lead over OpenAI. https://aiweekly.co/alerts/meta-releases-muse-wonder-its-first-frontier-class-ai-model - [2026-10-12] OpenAI cadence: its point releases come roughly every 6–10 weeks per one tracker, with GPT-6.1 Sol on Sep 29. That implies a possible GPT-6.2 or similar before Dec 31. The same source says GPT-7 is unlikely before 2027 and nothing is announced. https://www.pluralsight.com/resources/blog/ai-and-data/gpt-7 - [2026-10-08] Preliminary-model volatility: Arena flags new entries as "Preliminary" (Gemini 4 Argon at ±9, 4.9k votes). A new OpenAI entry with a few thousand votes can post an inflated score that settles lower. That cuts both ways, since a lucky early OpenAI score on Dec 31 would also count. https://arena.ai/leaderboard/text/overall-no-style-control - [2026-10-08] Resolution technicality: the criteria require the "None" view and take the organisation label from the board. Arena's default view has been style control since May 2025, and the "None" ratings sit on a separately computed scale. If a model's style-control and None scores diverge, the winner can differ by view. On Oct 8 both views appear to favour Meta, so this technicality does not produce a NO unless OpenAI's models gain disproportionately on raw preference. https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset - [2026-10-08] Status quo does not help NO. The Hugging Face dataset's latest "overall" split is for Agent Arena (IPS scores), where OpenAI ranks far above Meta (GPT 6 Astra #2, GPT 6.1 Sol #5, Muse Spark 1.3 #15). That is a different leaderboard, but it shows OpenAI's recent gains are concentrated in agentic and capability measures, not in the text arena. Its best NO path is a model that also wins on chat preference. https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset - [2026-10-12] Resolution-time arithmetic: there are about 11 weeks to Dec 31. The score is read at one instant (10:00 AM ET) rather than averaged. Meta is about 18 points ahead on "None", and the CIs are ±4–6. A NO outcome needs a net swing of roughly 18 points between the two labs' best entries within that window. https://arena.ai/leaderboard/text/overall-no-style-control BOTTOM LINE: On the strict "None" view, Meta leads by about 18 points, and OpenAI's newest GPT-6.x models have not appeared near the top of the raw text ranking. NO needs either a new OpenAI release that scores well above all its current entries, or a regression of Meta's single top entry (muse-spark-1.3-max) as votes accumulate. The Wonder launch adds uncertainty in both directions. NOT FOUND: Arena text scores for Muse Wonder or Wonder Full. The position of the GPT-6.x entries in the "None" view below row 57, because the rendered page was truncated. Any announced OpenAI text model for Q4 2026. A historical series of the Meta–OpenAI gap in the "None" view.