ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Large 4 vs Muse Spark 1.1

Too close to call on our weighted score (Muse Spark 1.1 69, Mistral Large 4 67). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Large 4

    Released Oct 6, 2026NewBeta

    67/100
    • ECI150.6
    • Price$0.70 / $2.10
    • Context1.05M
    Full specs Remove Mistral Large 4

  2. Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    69/100
    • ECI154.2
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark 1.1

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Muse Spark 1.1 69/100, Mistral Large 4 67/100), so choose by what matters most for your work: Muse Spark 1.1 for raw capability and Mistral Large 4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse Spark 1.1Capabilities Index (ECI): Muse Spark 1.1 154.2 · Mistral Large 4 150.6
  • Lowest priceMistral Large 4Mistral Large 4 $1.05 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMistral Large 4 1,048,576 · Muse Spark 1.1 1,048,576 tokens
  • Widest inputsMuse Spark 1.1Mistral Large 4: Text, Images · Muse Spark 1.1: Text, Images, PDFs, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMistral Large 4Muse Spark 1.1
CapabilityCapabilities Index (ECI)50%7782
Price25%4734
Inputs & features15%7090
Context window10%6161
Overall100%67/10069/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Mistral Large 4 vs Muse Spark 1.1 specifications side by side
SpecificationMistral Large 4Mistral AIMuse Spark 1.1Meta
Capability
Capabilities Index (ECI)150.6154.2 (best)
ECI rank#57 of 165#46 of 165 (best)
GPQA DiamondGraduate-level science questions88.1%—
FrontierMath Tiers 1–3Research-level mathematics58.6%—
OTIS Mock AIME 2024–2025Competition mathematics98.3%—
SimpleQA VerifiedShort factual questions20.0%57.8% (best)
Price per million tokens
Input$0.70 (best)$1.25
Output$2.10 (best)$4.25
Cached input$0.07 (best)$0.15
Blended (3:1)$1.05 (best)$2.00
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial Meta API
Limits
Context window1,048,576 tokens1,048,576 tokens
Max output262,144 tokens (best)131,072 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoNoYes
ReasoningYeslow · medium · highYesminimal · low · medium · high · xhigh
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDmistral-large-4muse-spark-1.1
API providers1515
ReleasedOct 6, 2026Jul 9, 2026
Knowledge cutoff——
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.

  • Mistral Large 4$11.20
  • Muse Spark 1.1$21.00
04 — Questions

Which should you choose?

Which is better: Mistral Large 4 or Muse Spark 1.1?

It is close. Our weighted score puts them within 2 points (Muse Spark 1.1 69/100, Mistral Large 4 67/100), so choose by what matters most for your work: Muse Spark 1.1 for raw capability and Mistral Large 4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 4 or Muse Spark 1.1?

Mistral Large 4 is cheaper at $0.70 input / $2.10 output per million tokens (official Mistral API price). Muse Spark 1.1 costs $1.25 input / $4.25 output per million tokens (official Meta API price). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for Mistral Large 4 versus $2.00 for Muse Spark 1.1 (1.9× as much).

Which scores higher on benchmarks?

Muse Spark 1.1 scores higher on the Capabilities Index (ECI): Muse Spark 1.1 154.2 (#46 of 165) and Mistral Large 4 150.6 (#57 of 165). The confidence ranges of the top two overlap (151.3–156.4 vs 147.4–153.5), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Muse Spark 1.1 57.8%, Mistral Large 4 20.0%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 4 and Muse Spark 1.1 yet, so there is no like-for-like coding score. On overall capability, Muse Spark 1.1 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Mistral Large 4 and Muse Spark 1.1 share the same 1,048,576-token context window. Maximum output per response: Mistral Large 4 up to 262,144, Muse Spark 1.1 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 4 accepts text and images; Muse Spark 1.1 accepts text, images, PDFs and video. Muse Spark 1.1 handles the widest range of inputs.

Are any of these open source?

No. Mistral Large 4 and Muse Spark 1.1 are proprietary and only available through APIs and apps.

Which is newer?

Mistral Large 4 is the newest, released Oct 6, 2026. Muse Spark 1.1 came out Jul 9, 2026.

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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