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Comparison · 3 models · Updated Nov 2, 2026

Palmyra X4 vs Mistral Large 2407 vs Command R+

Mistral Large 2407 comes out ahead, 28 to 25 and 25 on our weighted score, and it is the cheaper option too.

  1. Writer

    Palmyra X4

    Released Oct 9, 2024

    25/100
    • ECI—
    • Price$2.50 / $10.00
    • Context128K
  2. Our pick

    Mistral AI

    Mistral Large 2407

    Released Jul 24, 2024

    28/100
    • ECI127.6
    • Price$2.00 / $6.00
    • Context131K
  3. Cohere

    Command R+

    Released Aug 30, 2024

    25/100
    • ECI—
    • Price$2.50 / $10.00
    • Context128K
01 — Verdict

Mistral Large 2407 is our pick

Mistral Large 2407 is the better all-round choice, scoring 28/100 against Palmyra X4 (25) and Command R+ (25). It leads 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 priceMistral Large 2407Mistral Large 2407 $3.00 · Palmyra X4 $4.38 · Command R+ $4.38 per 1M tokens (3:1 blend)
  • Longest contextMistral Large 2407Mistral Large 2407 131,072 · Palmyra X4 128,000 · Command R+ 128,000 tokens
  • Widest inputsMistral Large 2407Palmyra X4: Text · Mistral Large 2407: Text, PDFs · Command R+: Text
  • Self-hostingMistral Large 2407 and Command R+Publishes downloadable weights
How the score is built
MeasureWeightPalmyra X4Mistral Large 2407Command R+
Price50%192619
Inputs & features30%353535
Context window20%242524
Overall100%25/10028/10025/100

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.

Palmyra X4 vs Mistral Large 2407 vs Command R+ specifications side by side
SpecificationPalmyra X4WriterMistral Large 2407Mistral AICommand R+Cohere
Capability
Capabilities Index (ECI)—127.6—
ECI rank—#144 of 165—
GPQA DiamondGraduate-level science questions—49.0%—
OTIS Mock AIME 2024–2025Competition mathematics—8.5%—
Price per million tokens
Input$2.50$2.00 (best)$2.50
Output$10.00$6.00 (best)$10.00
Cached input———
Blended (3:1)$4.38$3.00 (best)$4.38
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 2 providersMedian of 5 providersOfficial Cohere API
Limits
Context window128,000 tokens131,072 tokens (best)128,000 tokens
Max output4,096 tokens104,857 tokens (best)4,000 tokens
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoYesNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoNo
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsProprietaryOpenOpen
API model ID——command-r-plus-08-2024
API providers258 (best)
ReleasedOct 9, 2024Jul 24, 2024Aug 30, 2024
Knowledge cutoff—Mar 31, 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.

  • Palmyra X4$45.00
  • Mistral Large 2407$32.00
  • Command R+$45.00
04 — Questions

Which should you choose?

Which is better: Palmyra X4, Mistral Large 2407 or Command R+?

Mistral Large 2407 is the better all-round choice, scoring 28/100 against Palmyra X4 (25) and Command R+ (25). It leads 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, Palmyra X4, Mistral Large 2407 or Command R+?

Mistral Large 2407 is cheaper at $2.00 input / $6.00 output per million tokens (median across 5 API providers). Palmyra X4 costs $2.50 input / $10.00 output per million tokens (median across 2 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 Mistral Large 2407 versus $4.38 for Palmyra X4 (1.5× as much) and $4.38 for Command R+ (1.5× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Palmyra X4 has not been scored yet, Mistral Large 2407 has an ECI of 127.6 and Command R+ has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Palmyra X4, Mistral Large 2407 and Command R+ yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Mistral Large 2407 has the largest context window at 131,072 tokens, against 128,000 for Palmyra X4 and 128,000 for Command R+. Maximum output per response: Palmyra X4 up to 4,096, Mistral Large 2407 up to 104,857, Command R+ up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Palmyra X4 accepts text; Mistral Large 2407 accepts text and PDFs; Command R+ accepts text. Mistral Large 2407 handles the widest range of inputs.

Are any of these open source?

Mistral Large 2407 and Command R+ publishes its weights and can be self-hosted; Palmyra X4 is proprietary.

Which is newer?

Palmyra X4 is the newest, released Oct 9, 2024. Command R+ came out Aug 30, 2024; Mistral Large 2407 came out Jul 24, 2024. Knowledge cutoff: Mistral Large 2407 Mar 31, 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 Nov 2, 2026.