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Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Computer Use Preview vs GPT-5.1 Chat vs Ministral 3 14B

Ministral 3 14B comes out ahead, 63 to 38 and 35 on our weighted score, and it is the cheaper option too.

  1. Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    35/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
    Full specs Remove Gemini 2.5 Computer Use Preview

  2. OpenAI

    GPT-5.1 Chat

    Released Nov 13, 2025

    38/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
    Full specs Remove GPT-5.1 Chat
  3. Our pick

    Mistral AI

    Ministral 3 14B

    Released Dec 2, 2025

    63/100
    • ECI—
    • Price$0.268 / $0.325
    • Context262K
    Full specs Remove Ministral 3 14B
01 — Verdict

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 · Gemini 2.5 Computer Use Preview $3.44 · GPT-5.1 Chat $3.44 per 1M tokens (3:1 blend)
  • Longest contextMinistral 3 14BMinistral 3 14B 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 · Ministral 3 14B: Text, Images
  • Self-hostingMinistral 3 14BPublishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGemini 2.5 Computer Use PreviewGPT-5.1 ChatMinistral 3 14B
Price50%242476
Inputs & features30%607060
Context window20%242437
Overall100%35/10038/10063/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Gemini 2.5 Computer Use Preview vs GPT-5.1 Chat vs Ministral 3 14B specifications side by side
SpecificationGemini 2.5 Computer Use PreviewGoogleGPT-5.1 ChatOpenAIMinistral 3 14BMistral AI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.25$1.25$0.268 (best)
Output$10.00$10.00$0.325 (best)
Cached input———
Blended (3:1)$3.44$3.44$0.282 (best)
Long-context rateOver 200K: $2.50 / $15.00Same rateSame rate
Price sourceOfficial Google APIMedian of 2 providersMedian of 2 providers
Limits
Context window128,000 tokens128,000 tokens262,144 tokens (best)
Max output64,000 tokens16,384 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesNo
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryProprietaryOpenApache 2.0
API model IDgemini-2.5-computer-use-preview-10-2025——
API providers222
ReleasedOct 7, 2025Nov 13, 2025Dec 2, 2025
Knowledge cutoffJan 2025Sep 30, 2024—
03 — Cost

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
  • Ministral 3 14B$3.33
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Computer Use Preview, GPT-5.1 Chat or Ministral 3 14B?

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, Gemini 2.5 Computer Use Preview, GPT-5.1 Chat or Ministral 3 14B?

Ministral 3 14B is cheaper at $0.268 input / $0.325 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); 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 $0.282 per million tokens for Ministral 3 14B versus $3.44 for Gemini 2.5 Computer Use Preview (12× as much) and $3.44 for GPT-5.1 Chat (12× 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 Ministral 3 14B 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 Ministral 3 14B 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 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, Ministral 3 14B 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; Ministral 3 14B 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; Gemini 2.5 Computer Use Preview and GPT-5.1 Chat 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: Gemini 2.5 Computer Use Preview Jan 2025, GPT-5.1 Chat Sep 30, 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.

05 — Keep comparing

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