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Comparison · 2 models · Updated Nov 2, 2026

Command R7B Arabic vs Baichuan M2 32B

Command R7B Arabic comes out ahead, 65 to 58 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Cohere

    Command R7B Arabic

    Released Feb 27, 2025

    65/100
    • ECI—
    • Price$0.037 / $0.15
    • Context128K
    Full specs Remove Command R7B Arabic

  2. Baichuan

    Baichuan M2 32B

    Released Aug 13, 2025

    58/100
    • ECI—
    • Price$0.07 / $0.07
    • Context131K
    Full specs Remove Baichuan M2 32B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Command R7B Arabic is our pick

Command R7B Arabic is the better all-round choice, scoring 65/100 against Baichuan M2 32B (58). It leads on inputs & features. 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 priceCommand R7B ArabicCommand R7B Arabic $0.066 · Baichuan M2 32B $0.07 per 1M tokens (3:1 blend)
  • Longest contextBaichuan M2 32BBaichuan M2 32B 131,072 · Command R7B Arabic 128,000 tokens
  • Widest inputsSame inputsCommand R7B Arabic: Text · Baichuan M2 32B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightCommand R7B ArabicBaichuan M2 32B
Price50%100100
Inputs & features30%3510
Context window20%2425
Overall100%65/10058/100

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 Baichuan M2 32B specifications side by side
SpecificationCommand R7B ArabicCohereBaichuan M2 32BBaichuan
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.037 (best)$0.07
Output$0.15$0.07 (best)
Cached input——
Blended (3:1)$0.066 (best)$0.07
Long-context rateSame rateSame rate
Price sourceOfficial Cohere APIMedian of 1 providers
Limits
Context window128,000 tokens131,072 tokens (best)
Max output4,000 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesNo
Structured outputYesNo
Availability
WeightsOpenOpenApache-2.0
API model IDcommand-r7b-arabic-02-2025—
API providers11
ReleasedFeb 27, 2025Aug 13, 2025
Knowledge cutoffJun 1, 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 R7B Arabic$0.675
  • Baichuan M2 32B$0.84
04 — Questions

Which should you choose?

Which is better: Command R7B Arabic or Baichuan M2 32B?

Command R7B Arabic is the better all-round choice, scoring 65/100 against Baichuan M2 32B (58). It leads on inputs & features. 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 Baichuan M2 32B?

Command R7B Arabic is cheaper at $0.037 input / $0.15 output per million tokens (official Cohere API price). Baichuan M2 32B costs $0.07 input / $0.07 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.066 per million tokens for Command R7B Arabic versus $0.07 for Baichuan M2 32B (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 Baichuan M2 32B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Command R7B Arabic and Baichuan M2 32B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Baichuan M2 32B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Baichuan M2 32B has the largest context window at 131,072 tokens, against 128,000 for Command R7B Arabic. Maximum output per response: Command R7B Arabic up to 4,000, Baichuan M2 32B up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Command R7B Arabic accepts text; Baichuan M2 32B accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (Apache-2.0), so you can self-host them.

Which is newer?

Baichuan M2 32B is the newest, released Aug 13, 2025. Command R7B Arabic came out Feb 27, 2025. Knowledge cutoff: Command R7B Arabic Jun 1, 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 Nov 2, 2026.

05 — Keep comparing

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