Gemini 2.5 Computer Use Preview vs GPT-5.1 Chat vs Mistral Large 3
Mistral Large 3 comes out ahead, 50 to 38 and 35 on our weighted score, and it is the cheaper option too.
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
OpenAIGPT-5.1 Chat
38/100- ECI—
- Price$1.25 / $10.00
- Context128K
- Our pick
Mistral AIMistral Large 3
50/100- ECI—
- Price$0.50 / $1.50
- Context262K
Mistral Large 3 is our pick
Mistral Large 3 is the better all-round choice, scoring 50/100 against GPT-5.1 Chat (38) and Gemini 2.5 Computer Use Preview (35). It leads on price and context window. GPT-5.1 Chat wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMistral Large 3Mistral Large 3 $0.75 · Gemini 2.5 Computer Use Preview $3.44 · GPT-5.1 Chat $3.44 per 1M tokens (3:1 blend)
- Longest contextMistral Large 3Mistral Large 3 262,144 · Gemini 2.5 Computer Use Preview 128,000 · GPT-5.1 Chat 128,000 tokens
- Widest inputsSame inputsGemini 2.5 Computer Use Preview: Text, Images · GPT-5.1 Chat: Text, Images · Mistral Large 3: Text, Images
- Self-hostingMistral Large 3Publishes downloadable weights
| Measure | Weight | Gemini 2.5 Computer Use Preview | GPT-5.1 Chat | Mistral Large 3 |
|---|---|---|---|---|
| Price | 50% | 24 | 24 | 56 |
| Inputs & features | 30% | 60 | 70 | 50 |
| Context window | 20% | 24 | 24 | 37 |
| Overall | 100% | 35/100 | 38/100 | 50/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 2.5 Computer Use PreviewGoogle | GPT-5.1 ChatOpenAI | Mistral Large 3Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $1.25 | $0.50 (best) |
| Output | $10.00 | $10.00 | $1.50 (best) |
| Cached input | — | — | $0.05 |
| Blended (3:1) | $3.44 | $3.44 | $0.75 (best) |
| Long-context rate | Over 200K: $2.50 / $15.00 | Same rate | Same rate |
| Price source | Official Google API | Median of 2 providers | Official Mistral API |
| Limits | |||
| Context window | 128,000 tokens | 128,000 tokens | 262,144 tokens (best) |
| Max output | 64,000 tokens | 16,384 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gemini-2.5-computer-use-preview-10-2025 | — | mistral-large-2512 |
| API providers | 2 | 2 | 13 (best) |
| Released | Oct 7, 2025 | Nov 13, 2025 | Dec 2, 2025 |
| Knowledge cutoff | Jan 2025 | Sep 30, 2024 | Nov 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemini 2.5 Computer Use Preview$32.50
- GPT-5.1 Chat$32.50
- Mistral Large 3$8.00
Which should you choose?
Which is better: Gemini 2.5 Computer Use Preview, GPT-5.1 Chat or Mistral Large 3?
Mistral Large 3 is the better all-round choice, scoring 50/100 against GPT-5.1 Chat (38) and Gemini 2.5 Computer Use Preview (35). It leads on price and context window. GPT-5.1 Chat wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemini 2.5 Computer Use Preview, GPT-5.1 Chat or Mistral Large 3?
Mistral Large 3 is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). Gemini 2.5 Computer Use Preview costs $1.25 input / $10.00 output per million tokens (official Google API price); GPT-5.1 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large 3 versus $3.44 for Gemini 2.5 Computer Use Preview (4.6× as much) and $3.44 for GPT-5.1 Chat (4.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 2.5 Computer Use Preview has not been scored yet, GPT-5.1 Chat has not been scored yet and Mistral Large 3 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Computer Use Preview, GPT-5.1 Chat and Mistral Large 3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Mistral Large 3 has the largest context window at 262,144 tokens, against 128,000 for Gemini 2.5 Computer Use Preview and 128,000 for GPT-5.1 Chat. Maximum output per response: Gemini 2.5 Computer Use Preview up to 64,000, GPT-5.1 Chat up to 16,384, Mistral Large 3 up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Computer Use Preview accepts text and images; GPT-5.1 Chat accepts text and images; Mistral Large 3 accepts text and images. They handle the same number of input types.
Are any of these open source?
Mistral Large 3 publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview and GPT-5.1 Chat is proprietary.
Which is newer?
Mistral Large 3 is the newest, released Dec 2, 2025. GPT-5.1 Chat came out Nov 13, 2025; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, GPT-5.1 Chat Sep 30, 2024, Mistral Large 3 Nov 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
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