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Comparison · 2 models · Updated Nov 2, 2026

Command R7B Arabic vs Llama 4 Scout 17B Instruct

Llama 4 Scout 17B Instruct comes out ahead, 72 to 65 on our weighted score, though Command R7B Arabic is 4.2× cheaper per token.

  1. Cohere

    Command R7B Arabic

    Released Feb 27, 2025

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

    Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    72/100
    • ECI129.6
    • Price$0.17 / $0.59
    • Context10M
    Full specs Remove Llama 4 Scout 17B Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Llama 4 Scout 17B Instruct is our pick

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 72/100 against Command R7B Arabic (65). It leads on inputs & features and context window. Command R7B Arabic wins on price. 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 · Llama 4 Scout 17B Instruct $0.275 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Command R7B Arabic 128,000 tokens
  • Widest inputsLlama 4 Scout 17B InstructCommand R7B Arabic: Text · Llama 4 Scout 17B Instruct: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightCommand R7B ArabicLlama 4 Scout 17B Instruct
Price50%10073
Inputs & features30%3550
Context window20%24100
Overall100%65/10072/100

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 Llama 4 Scout 17B Instruct specifications side by side
SpecificationCommand R7B ArabicCohereLlama 4 Scout 17B InstructMeta
Capability
Capabilities Index (ECI)—129.6
ECI rank—#138 of 165
GPQA DiamondGraduate-level science questions—51.8%
OTIS Mock AIME 2024–2025Competition mathematics—7.8%
Price per million tokens
Input$0.037 (best)$0.17
Output$0.15 (best)$0.59
Cached input——
Blended (3:1)$0.066 (best)$0.275
Long-context rateSame rateSame rate
Price sourceOfficial Cohere APIMedian of 13 providers
Limits
Context window128,000 tokens10,000,000 tokens (best)
Max output4,000 tokens16,384 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpen
API model IDcommand-r7b-arabic-02-2025—
API providers113 (best)
ReleasedFeb 27, 2025Apr 5, 2025
Knowledge cutoffJun 1, 2024Aug 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
  • Llama 4 Scout 17B Instruct$2.88
04 — Questions

Which should you choose?

Which is better: Command R7B Arabic or Llama 4 Scout 17B Instruct?

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 72/100 against Command R7B Arabic (65). It leads on inputs & features and context window. Command R7B Arabic wins on price. 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 Llama 4 Scout 17B Instruct?

Command R7B Arabic is cheaper at $0.037 input / $0.15 output per million tokens (official Cohere API price). Llama 4 Scout 17B Instruct costs $0.17 input / $0.59 output per million tokens (median across 13 API providers). At a typical mix of three input tokens to one output token, that is $0.066 per million tokens for Command R7B Arabic versus $0.275 for Llama 4 Scout 17B Instruct (4.2× 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 Llama 4 Scout 17B Instruct has an ECI of 129.6.

Which is better for coding?

There are no published SWE-bench Verified results for Command R7B Arabic and Llama 4 Scout 17B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 128,000 for Command R7B Arabic. Maximum output per response: Command R7B Arabic up to 4,000, Llama 4 Scout 17B Instruct up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Command R7B Arabic accepts text; Llama 4 Scout 17B Instruct accepts text and images. Llama 4 Scout 17B Instruct 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?

Llama 4 Scout 17B Instruct is the newest, released Apr 5, 2025. Command R7B Arabic came out Feb 27, 2025. Knowledge cutoff: Command R7B Arabic Jun 1, 2024, Llama 4 Scout 17B Instruct Aug 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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