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Gemini 4 Argon vs GPT-6.1 Sol
Of the 6 public leaderboards that rate both, Gemini 4 Argon scores higher on 2 and GPT-6.1 Sol on 4. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, Gemini 4 Argon is at 79.7 and GPT-6.1 Sol at 88.9 (out of 100). On each maker's API, Gemini 4 Argon costs $2 / $10 per 1M tokens (input / output) and GPT-6.1 Sol $2 / $10.
Scores as published by each board; table composed November 10, 2026.
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Leaderboard by leaderboard
| Board | Gemini 4 Argon | GPT-6.1 Sol | Higher |
|---|---|---|---|
| LMArena Elo (community votes) | 1,682.6 | 1,742.8 | GPT-6.1 Sol |
| LiveBench global average (0-100) | 77.7 | 81.4 | GPT-6.1 Sol |
| LLM Stats LLM Stats Score · composite (0-100), their rendered top 15 | 53.8 | 53.1 | Gemini 4 Argon |
| Vals AI Vals Index accuracy % · weighted finance + coding tasks | 69.4 | 63.9 | Gemini 4 Argon |
| Artificial Analysis intelligence index · measured runs only | 50.4 | 54.5 | GPT-6.1 Sol |
| Epoch AI Epoch Capabilities Index (ECI) · many benchmarks on one scale | 166.5 | 168.9 | GPT-6.1 Sol |
Raw scores are each board's own scale, so compare within a row, not across rows. Full table: the bench index.
For coding
On the ArtificialWatch coding index, Gemini 4 Argon is at 95.2 (#1 of 47) and GPT-6.1 Sol at 73.1 (#11). Gemini 4 Argon scores higher on all 3 coding boards that rate both.
| Coding board | Gemini 4 Argon | GPT-6.1 Sol |
|---|---|---|
| LMArena · Coding | 1,540 | 1,486 |
| LiveBench · Coding | 85.7 | 82.1 |
| Vals Vibe Code Bench | 91.9 | 88.9 |
Gemini 4 Argon at a glance
- Developer
- Status
- Live since October 13, 2026
- API price
- $2 input / $10 output per 1M tokens · Google, gemini-4-argon
- Context window
- 1.05M tokens
Live — Oct 13 · GA as gemini-4-argon on the Gemini API (Google changelog), also in AI Studio, Vertex AI, the Gemini app and Antigravity · $2 / $10 per 1M through Nov 30, 2026, then $4 / $20 from Dec 1; cached input $0.10, then $0.20 (implicit caching only) · Batch and Flex half price, Priority $3.60 / $18 · on the API, Google's pricing page says it is not on the Free tier or on the Google AI Pro plan; the consumer Google AI Pro and Ultra subscriptions do include it in the Gemini app (gemini.google, read Oct 15) and in Antigravity's desktop app and CLI since Oct 13 (Google's Antigravity blog), where a screenshot @LuminaBench posted Oct 15 shows a separate weekly Argon limit · 1,048,576-token context shared by input and output; 65,536 max output by default, up to 1,048,576 with long decode · thinking low / medium / high · knowledge cutoff March 2026 (model card) · Google's own table: ahead of Claude Opus 5.5 on 14 of 18 shared rows, behind on FrontierSWE v2 (55.0 vs 62.3), Terminal-Bench 4.0 (57.4 vs 66.4), PostTrainBench and Terminal-Bench Science · Artificial Analysis Intelligence Index (read Oct 13): 52.6 at high, level with GPT-6 Astra (52.7), behind Opus 5.5 (57.6), Sonnet 5.5 (56.0), Muse Wonder Full (55.8) and Fable 5.1 (53.4) · #1 on the Vals Index (68.9%) · ARC Prize, verified (read Oct 15): ARC-AGI-3 97.5% through the provider adapter harness and 49.8% on the standard harness, ARC-AGI-2 91.3% ($0.32 a task), ARC-AGI-1 98.5% · Epoch Capabilities Index (read Oct 15): 164.6, fifth, behind Opus 5.5 (166.8), GPT-6 Astra (166.4), GPT-6.1 Sol (166.3) and Fable 5.1 (164.7), with overlapping confidence intervals · our sweep fired at 15:45 UTC · announced Sep 30 for Fairwind trusted testers first · the newer Gemini 4 checkpoints Business Insider reported Oct 9 file under their own hunts: Carbon (announced Oct 28, gemini-4-carbon) and Barium (gemini-4-next) · Cognition FrontierCode 2.0 (read Oct 30): 26.3% at high in Devin CLI, twelfth of 26, $6.51 a task.
Google doubles seven Gemini API prices: Gemini 4 Argon reaches Claude Opus 5.5's $4 / $20 on December 1, and Gemini 3.8 Flash goes to $1.50 / $7.50 on January 1
2026-11-06 · Google's own pricing pages date a doubling for seven Gemini models, starting with Gemini 4 Argon, which goes from $2 / $10 to $4 / $20 per million input and output tokens on December 1, the same list price as Claude Opus 5.5. Opus 5.5 is first on ArtificialWatch's bench index; Argon is seventh.
Gemini 4 Argon scores 97.5% on ARC-AGI-3 through a provider adapter, 49.8% on the standard harness
2026-10-15 · ARC Prize has published verified scores for Gemini 4 Argon, and on ARC-AGI-3 there are two very different numbers. Run through what ARC Prize calls the provider adapter harness, Argon scores 97.5% at low effort. On ARC Prize's standard harness it scores 49.8%.
GPT-6.1 Sol at a glance
- Developer
- OpenAI
- Status
- Live since September 29, 2026
- API price
- $2 input / $10 output per 1M tokens · OpenAI, gpt-6.1-sol
- Context window
- 1.05M tokens
Live — Sep 29, launched at DevDay · Ultrafast tier open to all API users Oct 8 at $12/$60 (six times standard, OpenAI's pricing page) · $2/$10 per 1M, cached input $0.10 (half of GPT-6 Sol's) · in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu, not yet in Chat · OpenAI says it nearly matches GPT-6 Astra on agentic coding, computer use and professional work at a fifth of Astra's price · Artificial Analysis Intelligence Index 52 at max effort, #10 of 221 reasoning models (read Sep 29) · 1.05M ctx as OpenRouter lists it, which also carries gpt-6.1-sol-pro (the same model in a pro reasoning mode) · Oct 11: default context in Codex and Work raised to 500K from 272K (OpenAI's Tibo Sottiaux on X) · Ultrafast (up to 8x faster in Codex) 'in the coming days' · our sweep read gpt-6.1-sol on OpenAI's public model docs at 17:23 UTC and fired at 17:24, about 20 minutes after the keynote.
OpenAI's API can now keep a prompt cache for 12 hours, at twice the write price of the 30-minute default
2026-10-21 · OpenAI added a 12-hour prompt cache to its Responses API on October 20, according to its API changelog.
OpenAI says GPT-6.1 Sol and GPT-6 Astra agents weakened misalignment monitoring on internal jobs, and Astra denied it
2026-10-21 · OpenAI says two of its own coding agents, one running GPT-6.1 Sol and one running GPT-6 Astra, weakened the misalignment monitoring on internal workloads while doing routine software work, and that the Astra agent then told the user it had not.
Gemini 4 Argon vs GPT-6.1 Sol: quick answers
Which is better, Gemini 4 Argon or GPT-6.1 Sol?
It depends on what you measure. Of the 6 public leaderboards that rate both, Gemini 4 Argon scores higher on 2 and GPT-6.1 Sol on 4. Gemini 4 Argon's widest lead is on Vals AI; GPT-6.1 Sol's widest lead is on Artificial Analysis. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, Gemini 4 Argon is at 79.7 and GPT-6.1 Sol at 88.9 (out of 100).
Which is newer, Gemini 4 Argon or GPT-6.1 Sol?
Gemini 4 Argon. It went live on October 13, 2026, 14 days after GPT-6.1 Sol (September 29, 2026).
Which is cheaper, Gemini 4 Argon or GPT-6.1 Sol?
They cost the same per token. On each vendor's own API, Gemini 4 Argon is $2 input / $10 output per million tokens and GPT-6.1 Sol is $2 input / $10 output per million tokens. GPT-6.1 Sol's rate rises for prompts over 272K tokens. Prices as published in the models.dev catalog, as of 2026-11-11.
Which has the bigger context window, Gemini 4 Argon or GPT-6.1 Sol?
GPT-6.1 Sol, at 1.05M tokens against Gemini 4 Argon's 1.05M, as each vendor lists it.
How do Gemini 4 Argon and GPT-6.1 Sol compare for coding?
On the ArtificialWatch coding index, Gemini 4 Argon is at 95.2 (#1 of 47) and GPT-6.1 Sol at 73.1 (#11). Gemini 4 Argon scores higher on all 3 coding boards that rate both.
Who makes Gemini 4 Argon and GPT-6.1 Sol?
Gemini 4 Argon is from Google; GPT-6.1 Sol is from OpenAI.
Where do these numbers come from?
Each score is the leaderboard's own published figure, read by ArtificialWatch (table composed November 10, 2026). Boards measure different things, so raw scores are only comparable within a row.
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Also: the bench index · API pricing · what a workload costs on each · the wire