ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.1 Chat vs Command A Translate vs Gemini 2.5 Computer Use Preview

GPT-5.1 Chat comes out ahead, 38 to 35 and 17 on our weighted score.

  1. Our pick

    OpenAI

    GPT-5.1 Chat

    Released Nov 13, 2025

    38/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
  2. Cohere

    Command A Translate

    Released Aug 28, 2025

    17/100
    • ECI—
    • Price$2.50 / $10.00
    • Context8K
  3. Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    35/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
01 — Verdict

GPT-5.1 Chat is our pick

GPT-5.1 Chat is the better all-round choice, scoring 38/100 against Gemini 2.5 Computer Use Preview (35) and Command A Translate (17). It leads 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 priceGPT-5.1 Chat and Gemini 2.5 Computer Use PreviewGPT-5.1 Chat $3.44 · Gemini 2.5 Computer Use Preview $3.44 · Command A Translate $4.38 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.1 Chat and Gemini 2.5 Computer Use PreviewGPT-5.1 Chat 128,000 · Gemini 2.5 Computer Use Preview 128,000 · Command A Translate 8,000 tokens
  • Widest inputsGPT-5.1 Chat and Gemini 2.5 Computer Use PreviewGPT-5.1 Chat: Text, Images · Command A Translate: Text · Gemini 2.5 Computer Use Preview: Text, Images
  • Self-hostingCommand A TranslatePublishes downloadable weights
How the score is built
MeasureWeightGPT-5.1 ChatCommand A TranslateGemini 2.5 Computer Use Preview
Price50%241924
Inputs & features30%702560
Context window20%24024
Overall100%38/10017/10035/100

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.

GPT-5.1 Chat vs Command A Translate vs Gemini 2.5 Computer Use Preview specifications side by side
SpecificationGPT-5.1 ChatOpenAICommand A TranslateCohereGemini 2.5 Computer Use PreviewGoogle
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.25 (best)$2.50$1.25 (best)
Output$10.00$10.00$10.00
Cached input———
Blended (3:1)$3.44 (best)$4.38$3.44 (best)
Long-context rateSame rateSame rateOver 200K: $2.50 / $15.00
Price sourceMedian of 2 providersOfficial Cohere APIOfficial Google API
Limits
Context window128,000 tokens (best)8,000 tokens128,000 tokens (best)
Max output16,384 tokens8,000 tokens64,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoYes
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenProprietary
API model ID—command-a-translate-08-2025gemini-2.5-computer-use-preview-10-2025
API providers2 (best)12 (best)
ReleasedNov 13, 2025Aug 28, 2025Oct 7, 2025
Knowledge cutoffSep 30, 2024Jun 1, 2024Jan 2025
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.

  • GPT-5.1 Chat$32.50
  • Command A Translate$45.00
  • Gemini 2.5 Computer Use Preview$32.50
04 — Questions

Which should you choose?

Which is better: GPT-5.1 Chat, Command A Translate or Gemini 2.5 Computer Use Preview?

GPT-5.1 Chat is the better all-round choice, scoring 38/100 against Gemini 2.5 Computer Use Preview (35) and Command A Translate (17). It leads 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, Command A Translate or Gemini 2.5 Computer Use Preview?

GPT-5.1 Chat is cheaper at $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); Command A Translate costs $2.50 input / $10.00 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5.1 Chat versus $3.44 for Gemini 2.5 Computer Use Preview (1× as much) and $4.38 for Command A Translate (1.3× 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, Command A Translate 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, Command A Translate 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?

GPT-5.1 Chat and Gemini 2.5 Computer Use Preview have the largest context windows (128,000 and 128,000 tokens), against 8,000 for Command A Translate. Maximum output per response: GPT-5.1 Chat up to 16,384, Command A Translate up to 8,000, 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; Command A Translate accepts text; Gemini 2.5 Computer Use Preview accepts text and images. GPT-5.1 Chat handles the widest range of inputs.

Are any of these open source?

Command A Translate publishes its weights and can be self-hosted; GPT-5.1 Chat and Gemini 2.5 Computer Use Preview is proprietary.

Which is newer?

GPT-5.1 Chat is the newest, released Nov 13, 2025. Gemini 2.5 Computer Use Preview came out Oct 7, 2025; Command A Translate came out Aug 28, 2025. Knowledge cutoff: GPT-5.1 Chat Sep 30, 2024, Command A Translate Jun 1, 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.