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Comparison · 3 models · Updated Oct 4, 2026

Command A Vision vs Gemini 2.5 Computer Use Preview vs GPT-5 Chat

Too close to call on our weighted score (Gemini 2.5 Computer Use Preview 35, GPT-5 Chat 34, Command A Vision 22). The right pick depends on what you value most.

  1. Cohere

    Command A Vision

    Released Jul 31, 2025

    22/100
    • ECI—
    • Price$2.50 / $10.00
    • Context128K
  2. Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    35/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
  3. OpenAI

    GPT-5 Chat

    Released Aug 7, 2025

    34/100
    • ECI—
    • Price$1.25 / $10.00
    • Context400K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Gemini 2.5 Computer Use Preview 35/100, GPT-5 Chat 34/100, Command A Vision 22/100), so choose by what matters most for your work: Gemini 2.5 Computer Use Preview on price and GPT-5 Chat for long inputs. 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 priceGemini 2.5 Computer Use Preview and GPT-5 ChatGemini 2.5 Computer Use Preview $3.44 · GPT-5 Chat $3.44 · Command A Vision $4.38 per 1M tokens (3:1 blend)
  • Longest contextGPT-5 ChatGPT-5 Chat 400,000 · Command A Vision 128,000 · Gemini 2.5 Computer Use Preview 128,000 tokens
  • Widest inputsSame inputsCommand A Vision: Text, Images · Gemini 2.5 Computer Use Preview: Text, Images · GPT-5 Chat: Text, Images
  • Self-hostingCommand A VisionPublishes downloadable weights
How the score is built
MeasureWeightCommand A VisionGemini 2.5 Computer Use PreviewGPT-5 Chat
Price50%192424
Inputs & features30%256045
Context window20%242444
Overall100%22/10035/10034/100

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.

Command A Vision vs Gemini 2.5 Computer Use Preview vs GPT-5 Chat specifications side by side
SpecificationCommand A VisionCohereGemini 2.5 Computer Use PreviewGoogleGPT-5 ChatOpenAI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$2.50$1.25 (best)$1.25 (best)
Output$10.00$10.00$10.00
Cached input———
Blended (3:1)$4.38$3.44 (best)$3.44 (best)
Long-context rateSame rateOver 200K: $2.50 / $15.00Same rate
Price sourceOfficial Cohere APIOfficial Google APIMedian of 2 providers
Limits
Context window128,000 tokens128,000 tokens400,000 tokens (best)
Max output8,000 tokens64,000 tokens128,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesYes
Tool callingNoYesNo
Structured outputNoNoYes
Availability
WeightsOpenProprietaryProprietary
API model IDcommand-a-vision-07-2025gemini-2.5-computer-use-preview-10-2025—
API providers12 (best)2 (best)
ReleasedJul 31, 2025Oct 7, 2025Aug 7, 2025
Knowledge cutoffJun 1, 2024Jan 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.

  • Command A Vision$45.00
  • Gemini 2.5 Computer Use Preview$32.50
  • GPT-5 Chat$32.50
04 — Questions

Which should you choose?

Which is better: Command A Vision, Gemini 2.5 Computer Use Preview or GPT-5 Chat?

It is close. Our weighted score puts them within a point (Gemini 2.5 Computer Use Preview 35/100, GPT-5 Chat 34/100, Command A Vision 22/100), so choose by what matters most for your work: Gemini 2.5 Computer Use Preview on price and GPT-5 Chat for long inputs. 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, Command A Vision, Gemini 2.5 Computer Use Preview or GPT-5 Chat?

Gemini 2.5 Computer Use Preview is cheaper at $1.25 input / $10.00 output per million tokens (official Google API price). GPT-5 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 API providers); Command A Vision 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 Gemini 2.5 Computer Use Preview versus $3.44 for GPT-5 Chat (1× as much) and $4.38 for Command A Vision (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Command A Vision has not been scored yet, Gemini 2.5 Computer Use Preview has not been scored yet and GPT-5 Chat has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Command A Vision, Gemini 2.5 Computer Use Preview and GPT-5 Chat yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Command A Vision and GPT-5 Chat does not support tool calling, which most coding agents need.

Which has the bigger context window?

GPT-5 Chat has the largest context window at 400,000 tokens, against 128,000 for Command A Vision and 128,000 for Gemini 2.5 Computer Use Preview. Maximum output per response: Command A Vision up to 8,000, Gemini 2.5 Computer Use Preview up to 64,000, GPT-5 Chat up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Command A Vision accepts text and images; Gemini 2.5 Computer Use Preview accepts text and images; GPT-5 Chat accepts text and images. They handle the same number of input types.

Are any of these open source?

Command A Vision publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview and GPT-5 Chat is proprietary.

Which is newer?

Gemini 2.5 Computer Use Preview is the newest, released Oct 7, 2025. GPT-5 Chat came out Aug 7, 2025; Command A Vision came out Jul 31, 2025. Knowledge cutoff: Command A Vision Jun 1, 2024, Gemini 2.5 Computer Use Preview Jan 2025, GPT-5 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.