GPT-6.1 Sol vs Gemini 4 Argon
GPT-6.1 Sol and Gemini 4 Argon are within three points on the Models at Work leaderboard, which we treat as a tie (84 vs 82). They cost about the same per million tokens ($4 vs $4 blended). On Artificial Analysis' independent Intelligence Index, GPT-6.1 Sol leads 55 to 50.
| GPT-6.1 Sol · OpenAI | Gemini 4 Argon · Google | |
|---|---|---|
| Leaderboard rank | #4 | #5 |
| Score (0–100) | 84 | 82 |
| Tier | Workhorse | Frontier |
| Price per 1M tokens | $2 in · $10 out | $2 in · $10 out |
| Context window | 1M | 1M |
| Open weights | No | No |
| Artificial Analysis Intelligence Index | 55 | 50 |
| Humanity's Sixth Sense (Scale) | 46.6 | — |
| Arena text score | — | 1525 |
| Best for | OpenAI-standardised teams, Agents API and Decisions API, Cost-controlled reasoning | Chat and assistant products, Google Cloud shops, Price-sensitive frontier work |
Compare source-qualified API rates and a monthly workload example before estimating your bill.
Choose GPT-6.1 Sol if…
- you need openai-standardised teams
- you need agents api and decisions api
- you need cost-controlled reasoning
Near-Astra intelligence at a fifth of the price, which is OpenAI's own line and, for once, the index agrees.
Choose Gemini 4 Argon if…
- you need chat and assistant products
- you need google cloud shops
- you need price-sensitive frontier work
First on Arena, fifth on the score, and priced at $2 in / $10 out only until 30 November, when the list price doubles.
Caveats: Google lists Argon at $2 input / $10 output per 1M tokens through 30 Nov 2026, rising to $4 / $20 from 1 Dec 2026; the score uses the current price and will drop when it rises. Arena figure dates from 9 Oct 2026; Arena was not readable on this run.
What practitioners say
GPT-6.1 Sol: The launch thread's title did the arguing: 'near-Astra for a fifth of the price' drew 955 comments, most of them about routing.
Gemini 4 Argon: The announcement thread ran to 1,190 comments; the independent analysis thread was smaller and more measured.
Questions people ask
Which is better, GPT-6.1 Sol or Gemini 4 Argon?
GPT-6.1 Sol and Gemini 4 Argon are within three points on the Models at Work leaderboard, which we treat as a tie (84 vs 82). They cost about the same per million tokens ($4 vs $4 blended). On Artificial Analysis' independent Intelligence Index, GPT-6.1 Sol leads 55 to 50.
When should I choose GPT-6.1 Sol over Gemini 4 Argon?
Choose GPT-6.1 Sol for openai-standardised teams, agents api and decisions api, cost-controlled reasoning. Near-Astra intelligence at a fifth of the price, which is OpenAI's own line and, for once, the index agrees.
When should I choose Gemini 4 Argon over GPT-6.1 Sol?
Choose Gemini 4 Argon for chat and assistant products, google cloud shops, price-sensitive frontier work. First on Arena, fifth on the score, and priced at $2 in / $10 out only until 30 November, when the list price doubles.
Which is cheaper, GPT-6.1 Sol or Gemini 4 Argon?
GPT-6.1 Sol costs $2 per million input tokens and $10 per million output tokens on OpenAI's list price (OpenAI API pricing, read Nov 2, 2026). Gemini 4 Argon costs $2 per million input tokens and $10 per million output tokens on Google's list price (Gemini API Pricing, read Nov 2, 2026).
Scores come from the Models at Work leaderboard: Score is 0 to 100 and computed, not typed: 55% independent evals (Artificial Analysis, Arena, Scale SEAL, Epoch, each scaled against its natural floor and the best score in this table, then averaged), 15% blended price on a fixed log scale ($0.05 per million is 100, $60 is 0), 15% practitioner sentiment from Signals and community threads, 15% operational fit (context window, open weights). A missing component drops out and the rest are reweighted. A model with no independent eval yet is provisional and ranks below every measured one. Within three points is a tie. Vendor-published figures are labelled and never counted. Prices are vendor list prices where published; blended figures assume three input tokens per output token.