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Comparison · 3 models · Updated Oct 4, 2026

Aya Vision 32B vs Gemini 2.5 Computer Use Preview vs Magistral Medium

Gemini 2.5 Computer Use Preview comes out ahead, 46 to 31 and 15 on our weighted score, though Magistral Medium is 20% cheaper per token.

  1. Cohere

    Aya Vision 32B

    Released Mar 4, 2025

    15/100
    • ECI—
    • Price—
    • Context16K
  2. Our pick

    Google

    Gemini 2.5 Computer Use Preview

    Released Oct 7, 2025

    46/100
    • ECI—
    • Price$1.25 / $10.00
    • Context128K
  3. Mistral AI

    Magistral Medium

    Released Mar 17, 2025

    31/100
    • ECI—
    • Price$2.00 / $5.00
    • Context128K
01 — Verdict

Gemini 2.5 Computer Use Preview is our pick

Gemini 2.5 Computer Use Preview is the better all-round choice, scoring 46/100 against Magistral Medium (31) and Aya Vision 32B (15). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. 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 priceMagistral MediumMagistral Medium $2.75 · Gemini 2.5 Computer Use Preview $3.44 per 1M tokens (3:1 blend) · Aya Vision 32B unpriced
  • Longest contextGemini 2.5 Computer Use Preview and Magistral MediumGemini 2.5 Computer Use Preview 128,000 · Magistral Medium 128,000 · Aya Vision 32B 16,000 tokens
  • Widest inputsAya Vision 32B and Gemini 2.5 Computer Use PreviewAya Vision 32B: Text, Images · Gemini 2.5 Computer Use Preview: Text, Images · Magistral Medium: Text
  • Self-hostingAya Vision 32BPublishes downloadable weights (CC-BY-NC-4.0)
How the score is built
MeasureWeightAya Vision 32BGemini 2.5 Computer Use PreviewMagistral Medium
Inputs & features60%256035
Context window40%02424
Overall100%15/10046/10031/100

Left out because at least one model lacks the data: capability and price. 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.

Aya Vision 32B vs Gemini 2.5 Computer Use Preview vs Magistral Medium specifications side by side
SpecificationAya Vision 32BCohereGemini 2.5 Computer Use PreviewGoogleMagistral MediumMistral AI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input—$1.25 (best)$2.00
Output—$10.00$5.00 (best)
Cached input———
Blended (3:1)—$3.44$2.75 (best)
Long-context rate—Over 200K: $2.50 / $15.00Same rate
Price source—Official Google APIOfficial Mistral API
Limits
Context window16,000 tokens128,000 tokens (best)128,000 tokens (best)
Max output4,000 tokens64,000 tokens (best)16,384 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesYes
Tool callingNoYesYes
Structured outputNoNoNo
Availability
WeightsOpenCC-BY-NC-4.0ProprietaryProprietary
API model IDc4ai-aya-vision-32bgemini-2.5-computer-use-preview-10-2025magistral-medium-latest
API providers124 (best)
ReleasedMar 4, 2025Oct 7, 2025Mar 17, 2025
Knowledge cutoff—Jan 2025Jun 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.

  • Aya Vision 32B—
  • Gemini 2.5 Computer Use Preview$32.50
  • Magistral Medium$30.00
04 — Questions

Which should you choose?

Which is better: Aya Vision 32B, Gemini 2.5 Computer Use Preview or Magistral Medium?

Gemini 2.5 Computer Use Preview is the better all-round choice, scoring 46/100 against Magistral Medium (31) and Aya Vision 32B (15). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Aya Vision 32B, Gemini 2.5 Computer Use Preview or Magistral Medium?

Magistral Medium is cheaper at $2.00 input / $5.00 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). At a typical mix of three input tokens to one output token, that is $2.75 per million tokens for Magistral Medium versus $3.44 for Gemini 2.5 Computer Use Preview (1.3× as much). Aya Vision 32B has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Aya Vision 32B has not been scored yet, Gemini 2.5 Computer Use Preview has not been scored yet and Magistral Medium has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Aya Vision 32B, Gemini 2.5 Computer Use Preview and Magistral Medium yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Vision 32B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Gemini 2.5 Computer Use Preview and Magistral Medium have the largest context windows (128,000 and 128,000 tokens), against 16,000 for Aya Vision 32B. Maximum output per response: Aya Vision 32B up to 4,000, Gemini 2.5 Computer Use Preview up to 64,000, Magistral Medium up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Aya Vision 32B accepts text and images; Gemini 2.5 Computer Use Preview accepts text and images; Magistral Medium accepts text. Aya Vision 32B handles the widest range of inputs.

Are any of these open source?

Aya Vision 32B publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Gemini 2.5 Computer Use Preview and Magistral Medium is proprietary.

Which is newer?

Gemini 2.5 Computer Use Preview is the newest, released Oct 7, 2025. Magistral Medium came out Mar 17, 2025; Aya Vision 32B came out Mar 4, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, Magistral Medium Jun 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.