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Comparison · 2 models · Updated Oct 4, 2026

Llama 4 Scout 17B Instruct vs Command R

Llama 4 Scout 17B Instruct comes out ahead, 71 to 51 on our weighted score, though Command R is 23% cheaper per token.

  1. Our pick

    Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    71/100
    • ECI129.7
    • Price$0.225 / $0.69
    • Context10M
    Full specs Remove Llama 4 Scout 17B Instruct

  2. Cohere

    Command R

    Released Aug 30, 2024

    51/100
    • ECI—
    • Price$0.15 / $0.60
    • Context128K
    Full specs Remove Command R

  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 71/100 against Command R (51). It leads on inputs & features and context window. Command R 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 RCommand R $0.263 · Llama 4 Scout 17B Instruct $0.341 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Command R 128,000 tokens
  • Widest inputsLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct: Text, Images · Command R: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama 4 Scout 17B InstructCommand R
Price50%7277
Inputs & features30%5025
Context window20%10024
Overall100%71/10051/100

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.

Llama 4 Scout 17B Instruct vs Command R specifications side by side
SpecificationLlama 4 Scout 17B InstructMetaCommand RCohere
Capability
Capabilities Index (ECI)129.7—
ECI rank#126 of 148—
GPQA DiamondGraduate-level science questions51.8%—
OTIS Mock AIME 2024–2025Competition mathematics7.8%—
Price per million tokens
Input$0.225$0.15 (best)
Output$0.69$0.60 (best)
Cached input——
Blended (3:1)$0.341$0.263 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 4 providersOfficial Cohere API
Limits
Context window10,000,000 tokens (best)128,000 tokens
Max output16,384 tokens (best)4,000 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID—command-r-08-2024
API providers45 (best)
ReleasedApr 5, 2025Aug 30, 2024
Knowledge cutoffAug 2024Jun 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.

  • Llama 4 Scout 17B Instruct$3.63
  • Command R$2.70
04 — Questions

Which should you choose?

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

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 71/100 against Command R (51). It leads on inputs & features and context window. Command R 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, Llama 4 Scout 17B Instruct or Command R?

Command R is cheaper at $0.15 input / $0.60 output per million tokens (official Cohere API price). Llama 4 Scout 17B Instruct costs $0.225 input / $0.69 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for Command R versus $0.341 for Llama 4 Scout 17B Instruct (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama 4 Scout 17B Instruct has an ECI of 129.7 and Command R has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 4 Scout 17B Instruct and Command R 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 R. Maximum output per response: Llama 4 Scout 17B Instruct up to 16,384, Command R up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Llama 4 Scout 17B Instruct accepts text and images; Command R accepts text. 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 R came out Aug 30, 2024. Knowledge cutoff: Llama 4 Scout 17B Instruct Aug 2024, Command R 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 Oct 4, 2026.

05 — Keep comparing

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