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Comparison · 2 models · Updated Oct 4, 2026

Aya Vision 32B vs ALLaM-2-7b

Aya Vision 32B comes out ahead, 15 to 0 on our weighted score.

  1. Our pick

    Cohere

    Aya Vision 32B

    Released Mar 4, 2025

    15/100
    • ECI—
    • Price—
    • Context16K
    Full specs Remove Aya Vision 32B

  2. SDAIA

    ALLaM-2-7b

    Released Jan 23, 2025

    0/100
    • ECI—
    • Price—
    • Context4K
    Full specs Remove ALLaM-2-7b

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Aya Vision 32B is our pick

Aya Vision 32B is the better all-round choice, scoring 15/100 against ALLaM-2-7b (0). 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
  • Longest contextAya Vision 32BAya Vision 32B 16,000 · ALLaM-2-7b 4,096 tokens
  • Widest inputsAya Vision 32BAya Vision 32B: Text, Images · ALLaM-2-7b: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightAya Vision 32BALLaM-2-7b
Inputs & features60%250
Context window40%00
Overall100%15/1000/100

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 ALLaM-2-7b specifications side by side
SpecificationAya Vision 32BCohereALLaM-2-7bSDAIA
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input——
Output——
Cached input——
Blended (3:1)——
Long-context rate——
Price source——
Limits
Context window16,000 tokens (best)4,096 tokens
Max output4,000 tokens4,096 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingNoNo
Structured outputNoNo
Availability
WeightsOpenCC-BY-NC-4.0Open
API model IDc4ai-aya-vision-32b—
API providers12 (best)
ReleasedMar 4, 2025Jan 23, 2025
Knowledge cutoff——
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—
  • ALLaM-2-7b—
04 — Questions

Which should you choose?

Which is better: Aya Vision 32B or ALLaM-2-7b?

Aya Vision 32B is the better all-round choice, scoring 15/100 against ALLaM-2-7b (0). 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 or ALLaM-2-7b?

None of these models has a published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Aya Vision 32B has not been scored yet and ALLaM-2-7b has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Aya Vision 32B and ALLaM-2-7b yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Vision 32B and ALLaM-2-7b does not support tool calling, which most coding agents need.

Which has the bigger context window?

Aya Vision 32B has the largest context window at 16,000 tokens, against 4,096 for ALLaM-2-7b. Maximum output per response: Aya Vision 32B up to 4,000, ALLaM-2-7b up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Aya Vision 32B accepts text and images; ALLaM-2-7b accepts text. Aya Vision 32B handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (CC-BY-NC-4.0), so you can self-host them.

Which is newer?

Aya Vision 32B is the newest, released Mar 4, 2025. ALLaM-2-7b came out Jan 23, 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.

05 — Keep comparing

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