ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Pixtral Large (25.02) vs Command R+

Pixtral Large (25.02) comes out ahead, 33 to 25 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Mistral AI

    Pixtral Large (25.02)

    Released Apr 8, 2025

    33/100
    • ECI—
    • Price$2.00 / $6.00
    • Context128K
    Full specs Remove Pixtral Large (25.02)

  2. Cohere

    Command R+

    Released Aug 30, 2024

    25/100
    • ECI—
    • Price$2.50 / $10.00
    • Context128K
    Full specs Remove Command R+

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Pixtral Large (25.02) is our pick

Pixtral Large (25.02) is the better all-round choice, scoring 33/100 against Command R+ (25). It leads on price and 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 pricePixtral Large (25.02)Pixtral Large (25.02) $3.00 · Command R+ $4.38 per 1M tokens (3:1 blend)
  • Longest contextAbout the samePixtral Large (25.02) 128,000 · Command R+ 128,000 tokens
  • Widest inputsPixtral Large (25.02)Pixtral Large (25.02): Text, Images · Command R+: Text
  • Self-hostingCommand R+Publishes downloadable weights
How the score is built
MeasureWeightPixtral Large (25.02)Command R+
Price50%2619
Inputs & features30%5035
Context window20%2424
Overall100%33/10025/100

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.

Pixtral Large (25.02) vs Command R+ specifications side by side
SpecificationPixtral Large (25.02)Mistral AICommand R+Cohere
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$2.00 (best)$2.50
Output$6.00 (best)$10.00
Cached input——
Blended (3:1)$3.00 (best)$4.38
Long-context rateSame rateSame rate
Price sourceMedian of 3 providersOfficial Cohere API
Limits
Context window128,000 tokens128,000 tokens
Max output8,192 tokens (best)4,000 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsProprietaryOpen
API model ID—command-r-plus-08-2024
API providers38 (best)
ReleasedApr 8, 2025Aug 30, 2024
Knowledge cutoff—Jun 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.

  • Pixtral Large (25.02)$32.00
  • Command R+$45.00
04 — Questions

Which should you choose?

Which is better: Pixtral Large (25.02) or Command R+?

Pixtral Large (25.02) is the better all-round choice, scoring 33/100 against Command R+ (25). It leads on price and 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, Pixtral Large (25.02) or Command R+?

Pixtral Large (25.02) is cheaper at $2.00 input / $6.00 output per million tokens (median across 3 API providers). Command R+ 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 $3.00 per million tokens for Pixtral Large (25.02) versus $4.38 for Command R+ (1.5× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Pixtral Large (25.02) has not been scored yet and Command R+ has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Pixtral Large (25.02) 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?

Pixtral Large (25.02) and Command R+ share the same 128,000-token context window. Maximum output per response: Pixtral Large (25.02) up to 8,192, Command R+ up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Pixtral Large (25.02) accepts text and images; Command R+ accepts text. Pixtral Large (25.02) handles the widest range of inputs.

Are any of these open source?

Command R+ publishes its weights and can be self-hosted; Pixtral Large (25.02) is proprietary.

Which is newer?

Pixtral Large (25.02) is the newest, released Apr 8, 2025. Command R+ came out Aug 30, 2024. Knowledge cutoff: 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 Nov 2, 2026.

05 — Keep comparing

Related comparisons