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Comparison · 2 models · Updated Nov 2, 2026

Mixtral 8x7B Instruct v0.1 vs Mistral Large

Mistral Large comes out ahead, 44 to 34 on our weighted score, though Mixtral 8x7B Instruct v0.1 is 36% cheaper per token.

  1. Mistral AI

    Mixtral 8x7B Instruct v0.1

    Released Dec 11, 2023

    34/100
    • ECI118.4
    • Price$0.444 / $0.579
    • Context33K
    Full specs Remove Mixtral 8x7B Instruct v0.1
  2. Our pick

    Mistral AI

    Mistral Large

    Released Feb 26, 2024

    44/100
    • ECI122.0
    • Price$0.50 / $1.50
    • Context128K
    Full specs Remove Mistral Large

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Mistral Large is our pick

Mistral Large is the better all-round choice, scoring 44/100 against Mixtral 8x7B Instruct v0.1 (34). It leads on capability, inputs & features and context window. Mixtral 8x7B Instruct v0.1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral LargeCapabilities Index (ECI): Mistral Large 122.0 · Mixtral 8x7B Instruct v0.1 118.4
  • Lowest priceMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 $0.478 · Mistral Large $0.75 per 1M tokens (3:1 blend)
  • Longest contextMistral LargeMistral Large 128,000 · Mixtral 8x7B Instruct v0.1 32,768 tokens
  • Widest inputsMistral LargeMixtral 8x7B Instruct v0.1: Text · Mistral Large: Text, PDFs
  • Self-hostingMixtral 8x7B Instruct v0.1Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightMixtral 8x7B Instruct v0.1Mistral Large
CapabilityCapabilities Index (ECI)50%3842
Price25%6253
Inputs & features15%045
Context window10%024
Overall100%34/10044/100
02 — Side by side

Every spec in one table

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

Mixtral 8x7B Instruct v0.1 vs Mistral Large specifications side by side
SpecificationMixtral 8x7B Instruct v0.1Mistral AIMistral LargeMistral AI
Capability
Capabilities Index (ECI)118.4122.0 (best)
ECI rank#160 of 165#153 of 165 (best)
GPQA DiamondGraduate-level science questions30.6%38.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics—1.9%
Price per million tokens
Input$0.444 (best)$0.50
Output$0.579 (best)$1.50
Cached input—$0.05
Blended (3:1)$0.478 (best)$0.75
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Mistral API
Limits
Context window32,768 tokens128,000 tokens (best)
Max output32,768 tokens102,400 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingNoYes
Structured outputNoYes
Availability
WeightsOpenApache 2.0Proprietary
API model ID—mistral-large-latest
API providers211 (best)
ReleasedDec 11, 2023Feb 26, 2024
Knowledge cutoff—Nov 30, 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.

  • Mixtral 8x7B Instruct v0.1$5.60
  • Mistral Large$8.00
04 — Questions

Which should you choose?

Which is better: Mixtral 8x7B Instruct v0.1 or Mistral Large?

Mistral Large is the better all-round choice, scoring 44/100 against Mixtral 8x7B Instruct v0.1 (34). It leads on capability, inputs & features and context window. Mixtral 8x7B Instruct v0.1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mixtral 8x7B Instruct v0.1 or Mistral Large?

Mixtral 8x7B Instruct v0.1 is cheaper at $0.444 input / $0.579 output per million tokens (median across 2 API providers). Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.478 per million tokens for Mixtral 8x7B Instruct v0.1 versus $0.75 for Mistral Large (1.6× as much).

Which scores higher on benchmarks?

Mistral Large scores higher on the Capabilities Index (ECI): Mistral Large 122.0 (#153 of 165) and Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165). The confidence ranges of the top two overlap (115.7–124.8 vs 110.9–121.0), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, Mixtral 8x7B Instruct v0.1 30.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Mixtral 8x7B Instruct v0.1 and Mistral Large yet, so there is no like-for-like coding score. On overall capability, Mistral Large leads, which tends to carry over to coding, but test on your own codebase. Note that Mixtral 8x7B Instruct v0.1 does not support tool calling, which most coding agents need.

Which has the bigger context window?

Mistral Large has the largest context window at 128,000 tokens, against 32,768 for Mixtral 8x7B Instruct v0.1. Maximum output per response: Mixtral 8x7B Instruct v0.1 up to 32,768, Mistral Large up to 102,400 tokens.

Which can read images, PDFs, audio or video?

Mixtral 8x7B Instruct v0.1 accepts text; Mistral Large accepts text and PDFs. Mistral Large handles the widest range of inputs.

Are any of these open source?

Mixtral 8x7B Instruct v0.1 publishes its weights (Apache 2.0) and can be self-hosted; Mistral Large is proprietary.

Which is newer?

Mistral Large is the newest, released Feb 26, 2024. Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: Mistral Large Nov 30, 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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