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Comparison · 2 models · Updated Oct 4, 2026

Command A Vision vs Jamba Large

Jamba Large comes out ahead, 30 to 22 on our weighted score, and it is the cheaper option too.

  1. Cohere

    Command A Vision

    Released Jul 31, 2025

    22/100
    • ECI—
    • Price$2.50 / $10.00
    • Context128K
    Full specs Remove Command A Vision
  2. Our pick

    AI21 Labs

    Jamba Large

    Released Jul 1, 2025

    30/100
    • ECI—
    • Price$2.00 / $8.00
    • Context256K
    Full specs Remove Jamba Large

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Jamba Large is our pick

Jamba Large is the better all-round choice, scoring 30/100 against Command A Vision (22). It leads on price, inputs & features and context window. 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 priceJamba LargeJamba Large $3.50 · Command A Vision $4.38 per 1M tokens (3:1 blend)
  • Longest contextJamba LargeJamba Large 256,000 · Command A Vision 128,000 tokens
  • Widest inputsCommand A VisionCommand A Vision: Text, Images · Jamba Large: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightCommand A VisionJamba Large
Price50%1924
Inputs & features30%2535
Context window20%2436
Overall100%22/10030/100

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 Jamba Large specifications side by side
SpecificationCommand A VisionCohereJamba LargeAI21 Labs
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$2.50$2.00 (best)
Output$10.00$8.00 (best)
Cached input——
Blended (3:1)$4.38$3.50 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Cohere APIOfficial AI21 Labs API
Limits
Context window128,000 tokens256,000 tokens (best)
Max output8,000 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingNoYes
Structured outputNoYes
Availability
WeightsOpenOpen
API model IDcommand-a-vision-07-2025jamba-large
API providers11
ReleasedJul 31, 2025Jul 1, 2025
Knowledge cutoffJun 1, 2024Aug 22, 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
  • Jamba Large$36.00
04 — Questions

Which should you choose?

Which is better: Command A Vision or Jamba Large?

Jamba Large is the better all-round choice, scoring 30/100 against Command A Vision (22). It leads on price, inputs & features and context window. 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 or Jamba Large?

Jamba Large is cheaper at $2.00 input / $8.00 output per million tokens (official AI21 Labs API price). 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 $3.50 per million tokens for Jamba Large versus $4.38 for Command A Vision (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Command A Vision has not been scored yet and Jamba Large has not been scored yet.

Which is better for coding?

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

Which has the bigger context window?

Jamba Large has the largest context window at 256,000 tokens, against 128,000 for Command A Vision. Maximum output per response: Command A Vision up to 8,000, Jamba Large up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Command A Vision accepts text and images; Jamba Large accepts text. Command A Vision handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Command A Vision is the newest, released Jul 31, 2025. Jamba Large came out Jul 1, 2025. Knowledge cutoff: Command A Vision Jun 1, 2024, Jamba Large Aug 22, 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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