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Comparison · 2 models · Updated Nov 2, 2026

Mistral 7B Instruct v0.3 vs Mixtral 8x7B Instruct v0.1

Too close to call on our weighted score (Mixtral 8x7B Instruct v0.1 25, Mistral 7B Instruct v0.3 22). The right pick depends on what you value most.

  1. Mistral AI

    Mistral 7B Instruct v0.3

    Released May 22, 2024

    22/100
    • ECI109.0
    • Price—
    • Context33K
    Full specs Remove Mistral 7B Instruct v0.3

  2. Mistral AI

    Mixtral 8x7B Instruct v0.1

    Released Dec 11, 2023

    25/100
    • ECI118.4
    • Price$0.444 / $0.579
    • Context33K
    Full specs Remove Mixtral 8x7B Instruct v0.1

  3. Add a model

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (Mixtral 8x7B Instruct v0.1 25/100, Mistral 7B Instruct v0.3 22/100), so choose by what matters most for your work: Mixtral 8x7B Instruct v0.1 for raw capability. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityMixtral 8x7B Instruct v0.1Capabilities Index (ECI): Mixtral 8x7B Instruct v0.1 118.4 · Mistral 7B Instruct v0.3 109.0
  • Lowest priceMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 $0.478 per 1M tokens (3:1 blend) · Mistral 7B Instruct v0.3 unpriced
  • Longest contextAbout the sameMistral 7B Instruct v0.3 32,768 · Mixtral 8x7B Instruct v0.1 32,768 tokens
  • Widest inputsSame inputsMistral 7B Instruct v0.3: Text · Mixtral 8x7B Instruct v0.1: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral 7B Instruct v0.3Mixtral 8x7B Instruct v0.1
CapabilityCapabilities Index (ECI)67%2638
Inputs & features20%250
Context window13%00
Overall100%22/10025/100

Left out because at least one model lacks the data: price. 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.

Mistral 7B Instruct v0.3 vs Mixtral 8x7B Instruct v0.1 specifications side by side
SpecificationMistral 7B Instruct v0.3Mistral AIMixtral 8x7B Instruct v0.1Mistral AI
Capability
Capabilities Index (ECI)109.0118.4 (best)
ECI rank#164 of 165#160 of 165 (best)
GPQA DiamondGraduate-level science questions15.2%30.6% (best)
OTIS Mock AIME 2024–2025Competition mathematics0.3%—
Price per million tokens
Input—$0.444
Output—$0.579
Cached input——
Blended (3:1)—$0.478
Long-context rate—Same rate
Price source—Median of 2 providers
Limits
Context window32,768 tokens32,768 tokens
Max output32,768 tokens32,768 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenApache 2.0OpenApache 2.0
API model ID——
API providers12 (best)
ReleasedMay 22, 2024Dec 11, 2023
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 7B Instruct v0.3—
  • Mixtral 8x7B Instruct v0.1$5.60
04 — Questions

Which should you choose?

Which is better: Mistral 7B Instruct v0.3 or Mixtral 8x7B Instruct v0.1?

It is close. Our weighted score puts them within 3 points (Mixtral 8x7B Instruct v0.1 25/100, Mistral 7B Instruct v0.3 22/100), so choose by what matters most for your work: Mixtral 8x7B Instruct v0.1 for raw capability. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Mistral 7B Instruct v0.3 or Mixtral 8x7B Instruct v0.1?

Mixtral 8x7B Instruct v0.1 is cheaper at $0.444 input / $0.579 output per million tokens (median across 2 API providers). . 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 . Mistral 7B Instruct v0.3 has no published per-token price.

Which scores higher on benchmarks?

Mixtral 8x7B Instruct v0.1 scores higher on the Capabilities Index (ECI): Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165) and Mistral 7B Instruct v0.3 109.0 (#164 of 165). The confidence ranges of the top two overlap (110.9–121.0 vs 98.5–112.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mixtral 8x7B Instruct v0.1 30.6%, Mistral 7B Instruct v0.3 15.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral 7B Instruct v0.3 and Mixtral 8x7B Instruct v0.1 yet, so there is no like-for-like coding score. On overall capability, Mixtral 8x7B Instruct v0.1 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 7B Instruct v0.3 and Mixtral 8x7B Instruct v0.1 share the same 32,768-token context window. Maximum output per response: Mistral 7B Instruct v0.3 up to 32,768, Mixtral 8x7B Instruct v0.1 up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Mistral 7B Instruct v0.3 accepts text; Mixtral 8x7B Instruct v0.1 accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (Apache 2.0), so you can self-host them.

Which is newer?

Mistral 7B Instruct v0.3 is the newest, released May 22, 2024. Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023.

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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