ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Command R7B Arabic vs Mistral Small 3

Command R7B Arabic comes out ahead, 65 to 50 on our weighted score, though Mistral Small 3 is 12% cheaper per token.

  1. Our pick

    Cohere

    Command R7B Arabic

    Released Feb 27, 2025

    65/100
    • ECI—
    • Price$0.037 / $0.15
    • Context128K
  2. Mistral AI

    Mistral Small 3

    Released Jan 30, 2025

    50/100
    • ECI—
    • Price$0.05 / $0.08
    • Context33K
  3. Add a model

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01 — Verdict

Command R7B Arabic is our pick

Command R7B Arabic is the better all-round choice, scoring 65/100 against Mistral Small 3 (50). It leads on 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 priceMistral Small 3Mistral Small 3 $0.058 · Command R7B Arabic $0.066 per 1M tokens (3:1 blend)
  • Longest contextCommand R7B ArabicCommand R7B Arabic 128,000 · Mistral Small 3 32,768 tokens
  • Widest inputsSame inputsCommand R7B Arabic: Text · Mistral Small 3: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightCommand R7B ArabicMistral Small 3
Price50%100100
Inputs & features30%350
Context window20%240
Overall100%65/10050/100

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 R7B Arabic vs Mistral Small 3 specifications side by side
SpecificationCommand R7B ArabicCohereMistral Small 3Mistral AI
Capability
Capabilities Index (ECI)——
ECI rank——
GPQA DiamondGraduate-level science questions—47.3%
OTIS Mock AIME 2024–2025Competition mathematics—6.7%
Price per million tokens
Input$0.037 (best)$0.05
Output$0.15$0.08 (best)
Cached input——
Blended (3:1)$0.066$0.058 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Cohere APIMedian of 6 providers
Limits
Context window128,000 tokens (best)32,768 tokens
Max output4,000 tokens16,384 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputYesNo
Availability
WeightsOpenOpen
API model IDcommand-r7b-arabic-02-2025—
API providers16 (best)
ReleasedFeb 27, 2025Jan 30, 2025
Knowledge cutoffJun 1, 2024Oct 31, 2023
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 R7B Arabic$0.675
  • Mistral Small 3$0.66
04 — Questions

Which should you choose?

Which is better: Command R7B Arabic or Mistral Small 3?

Command R7B Arabic is the better all-round choice, scoring 65/100 against Mistral Small 3 (50). It leads on 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 R7B Arabic or Mistral Small 3?

Mistral Small 3 is cheaper at $0.05 input / $0.08 output per million tokens (median across 6 API providers). Command R7B Arabic costs $0.037 input / $0.15 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.058 per million tokens for Mistral Small 3 versus $0.066 for Command R7B Arabic (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Command R7B Arabic has not been scored yet and Mistral Small 3 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Command R7B Arabic and Mistral Small 3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Mistral Small 3 does not support tool calling, which most coding agents need.

Which has the bigger context window?

Command R7B Arabic has the largest context window at 128,000 tokens, against 32,768 for Mistral Small 3. Maximum output per response: Command R7B Arabic up to 4,000, Mistral Small 3 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Command R7B Arabic accepts text; Mistral Small 3 accepts text. They handle the same number of input types.

Are any of these open source?

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

Which is newer?

Command R7B Arabic is the newest, released Feb 27, 2025. Mistral Small 3 came out Jan 30, 2025. Knowledge cutoff: Command R7B Arabic Jun 1, 2024, Mistral Small 3 Oct 31, 2023.

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 Nov 2, 2026.