ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Mistral Large 2407 vs Mistral Large 2.1

Too close to call on our weighted score (Mistral Large 2407 39, Mistral Large 2.1 38). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Large 2407

    Released Jul 24, 2024

    39/100
    • ECI127.6
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2407

  2. Mistral AI

    Mistral Large 2.1

    Released Nov 18, 2024

    38/100
    • ECI128.6
    • Price$2.00 / $6.00
    • Context131K
    Full specs Remove Mistral Large 2.1

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Mistral Large 2407 39/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Mistral Large 2.1 for raw capability and Mistral Large 2407 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Large 2.1Capabilities Index (ECI): Mistral Large 2.1 128.6 · Mistral Large 2407 127.6
  • Lowest priceSame priceMistral Large 2407 $3.00 · Mistral Large 2.1 $3.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMistral Large 2407 131,072 · Mistral Large 2.1 131,072 tokens
  • Widest inputsMistral Large 2407Mistral Large 2407: Text, PDFs · Mistral Large 2.1: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Large 2407Mistral Large 2.1
CapabilityCapabilities Index (ECI)50%4950
Price25%2626
Inputs & features15%3525
Context window10%2525
Overall100%39/10038/100
02 — Side by side

Every spec in one table

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

Mistral Large 2407 vs Mistral Large 2.1 specifications side by side
SpecificationMistral Large 2407Mistral AIMistral Large 2.1Mistral AI
Capability
Capabilities Index (ECI)127.6128.6 (best)
ECI rank#144 of 165#142 of 165 (best)
GPQA DiamondGraduate-level science questions49.0%51.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics8.5% (best)7.8%
Price per million tokens
Input$2.00$2.00
Output$6.00$6.00
Cached input——
Blended (3:1)$3.00$3.00
Long-context rateSame rateSame rate
Price sourceMedian of 5 providersMedian of 2 providers
Limits
Context window131,072 tokens131,072 tokens
Max output104,857 tokens (best)16,384 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsYesNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID——
API providers5 (best)2
ReleasedJul 24, 2024Nov 18, 2024
Knowledge cutoffMar 31, 2024Nov 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.

  • Mistral Large 2407$32.00
  • Mistral Large 2.1$32.00
04 — Questions

Which should you choose?

Which is better: Mistral Large 2407 or Mistral Large 2.1?

It is close. Our weighted score puts them within a point (Mistral Large 2407 39/100, Mistral Large 2.1 38/100), so choose by what matters most for your work: Mistral Large 2.1 for raw capability and Mistral Large 2407 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Large 2407 or Mistral Large 2.1?

Mistral Large 2407 and Mistral Large 2.1 cost the same: $2.00 input / $6.00 output per million tokens.

Which scores higher on benchmarks?

Mistral Large 2.1 scores higher on the Capabilities Index (ECI): Mistral Large 2.1 128.6 (#142 of 165) and Mistral Large 2407 127.6 (#144 of 165). The confidence ranges of the top two overlap (124.3–130.7 vs 123.3–129.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 2.1 51.3%, Mistral Large 2407 49.0%; OTIS Mock AIME 2024–2025 — Mistral Large 2407 8.5%, Mistral Large 2.1 7.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Large 2407 and Mistral Large 2.1 yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2.1 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 2407 and Mistral Large 2.1 share the same 131,072-token context window. Maximum output per response: Mistral Large 2407 up to 104,857, Mistral Large 2.1 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Mistral Large 2407 accepts text and PDFs; Mistral Large 2.1 accepts text. Mistral Large 2407 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?

Mistral Large 2.1 is the newest, released Nov 18, 2024. Mistral Large 2407 came out Jul 24, 2024. Knowledge cutoff: Mistral Large 2407 Mar 31, 2024, Mistral Large 2.1 Nov 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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