GPT-5.1 Chat vs Ministral 3 14B vs Gemini 2.5 Computer Use Preview
Ministral 3 14B comes out ahead, 63 to 38 and 35 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5.1 Chat
38/100- ECI—
- Price$1.25 / $10.00
- Context128K
- Our pick
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
GoogleGemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
Ministral 3 14B is our pick
Ministral 3 14B is the better all-round choice, scoring 63/100 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 priceMinistral 3 14BMinistral 3 14B $0.282 · GPT-5.1 Chat $3.44 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend)
- Longest contextMinistral 3 14BMinistral 3 14B 262,144 · GPT-5.1 Chat 128,000 · Gemini 2.5 Computer Use Preview 128,000 tokens
- Widest inputsSame inputsGPT-5.1 Chat: Text, Images · Ministral 3 14B: Text, Images · Gemini 2.5 Computer Use Preview: Text, Images
- Self-hostingMinistral 3 14BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | GPT-5.1 Chat | Ministral 3 14B | Gemini 2.5 Computer Use Preview |
|---|---|---|---|---|
| Price | 50% | 24 | 76 | 24 |
| Inputs & features | 30% | 70 | 60 | 60 |
| Context window | 20% | 24 | 37 | 24 |
| Overall | 100% | 38/100 | 63/100 | 35/100 |
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 | GPT-5.1 ChatOpenAI | Ministral 3 14BMistral AI | Gemini 2.5 Computer Use PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 | $0.268 (best) | $1.25 |
| Output | $10.00 | $0.325 (best) | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $0.282 (best) | $3.44 |
| Long-context rate | Same rate | Same rate | Over 200K: $2.50 / $15.00 |
| Price source | Median of 2 providers | Median of 2 providers | Official Google API |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens (best) | 128,000 tokens |
| Max output | 16,384 tokens | 262,144 tokens (best) | 64,000 tokens |
| 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 | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | OpenApache 2.0 | Proprietary |
| API model ID | — | — | gemini-2.5-computer-use-preview-10-2025 |
| API providers | 2 | 2 | 2 |
| Released | Nov 13, 2025 | Dec 2, 2025 | Oct 7, 2025 |
| Knowledge cutoff | Sep 30, 2024 | — | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5.1 Chat$32.50
- Ministral 3 14B$3.33
- Gemini 2.5 Computer Use Preview$32.50
Which should you choose?
Which is better: GPT-5.1 Chat, Ministral 3 14B or Gemini 2.5 Computer Use Preview?
Ministral 3 14B is the better all-round choice, scoring 63/100 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, GPT-5.1 Chat, Ministral 3 14B or Gemini 2.5 Computer Use Preview?
Ministral 3 14B is cheaper at $0.268 input / $0.325 output per million tokens (median across 2 API providers). GPT-5.1 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 API providers); Gemini 2.5 Computer Use Preview costs $1.25 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.282 per million tokens for Ministral 3 14B versus $3.44 for GPT-5.1 Chat (12× as much) and $3.44 for Gemini 2.5 Computer Use Preview (12× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GPT-5.1 Chat has not been scored yet, Ministral 3 14B has not been scored yet and Gemini 2.5 Computer Use Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.1 Chat, Ministral 3 14B and Gemini 2.5 Computer Use Preview 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?
Ministral 3 14B has the largest context window at 262,144 tokens, against 128,000 for GPT-5.1 Chat and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: GPT-5.1 Chat up to 16,384, Ministral 3 14B up to 262,144, Gemini 2.5 Computer Use Preview up to 64,000 tokens.
Which can read images, PDFs, audio or video?
GPT-5.1 Chat accepts text and images; Ministral 3 14B accepts text and images; Gemini 2.5 Computer Use Preview accepts text and images. They handle the same number of input types.
Are any of these open source?
Ministral 3 14B publishes its weights (Apache 2.0) and can be self-hosted; GPT-5.1 Chat and Gemini 2.5 Computer Use Preview is proprietary.
Which is newer?
Ministral 3 14B 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: GPT-5.1 Chat Sep 30, 2024, Gemini 2.5 Computer Use Preview Jan 2025.
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.
