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Comparison · 2 models · Updated Nov 2, 2026

Mistral 7B Instruct v0.3 vs Mistral Large

Mistral Large comes out ahead, 40 to 22 on our weighted score, and it is the cheaper option too.

  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. Our pick

    Mistral AI

    Mistral Large

    Released Feb 26, 2024

    40/100
    • 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 40/100 against Mistral 7B Instruct v0.3 (22). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityMistral LargeCapabilities Index (ECI): Mistral Large 122.0 · Mistral 7B Instruct v0.3 109.0
  • Lowest priceMistral LargeMistral Large $0.75 per 1M tokens (3:1 blend) · Mistral 7B Instruct v0.3 unpriced
  • Longest contextMistral LargeMistral Large 128,000 · Mistral 7B Instruct v0.3 32,768 tokens
  • Widest inputsMistral LargeMistral 7B Instruct v0.3: Text · Mistral Large: Text, PDFs
  • Self-hostingMistral 7B Instruct v0.3Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightMistral 7B Instruct v0.3Mistral Large
CapabilityCapabilities Index (ECI)67%2642
Inputs & features20%2545
Context window13%024
Overall100%22/10040/100

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 Mistral Large specifications side by side
SpecificationMistral 7B Instruct v0.3Mistral AIMistral LargeMistral AI
Capability
Capabilities Index (ECI)109.0122.0 (best)
ECI rank#164 of 165#153 of 165 (best)
GPQA DiamondGraduate-level science questions15.2%38.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics0.3%1.9% (best)
Price per million tokens
Input—$0.50
Output—$1.50
Cached input—$0.05
Blended (3:1)—$0.75
Long-context rate—Same rate
Price source—Official 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 callingYesYes
Structured outputNoYes
Availability
WeightsOpenApache 2.0Proprietary
API model ID—mistral-large-latest
API providers111 (best)
ReleasedMay 22, 2024Feb 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.

  • Mistral 7B Instruct v0.3—
  • Mistral Large$8.00
04 — Questions

Which should you choose?

Which is better: Mistral 7B Instruct v0.3 or Mistral Large?

Mistral Large is the better all-round choice, scoring 40/100 against Mistral 7B Instruct v0.3 (22). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, Mistral 7B Instruct v0.3 or Mistral Large?

Mistral Large is cheaper at $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 $0.75 per million tokens for Mistral Large versus . Mistral 7B Instruct v0.3 has no published per-token price.

Which scores higher on benchmarks?

Mistral Large scores higher on the Capabilities Index (ECI): Mistral Large 122.0 (#153 of 165) and Mistral 7B Instruct v0.3 109.0 (#164 of 165). Their confidence ranges do not overlap (115.7–124.8 vs 98.5–112.7), so the gap is a real one. On individual benchmarks: GPQA Diamond — Mistral Large 38.8%, Mistral 7B Instruct v0.3 15.2%; OTIS Mock AIME 2024–2025 — Mistral Large 1.9%, Mistral 7B Instruct v0.3 0.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral 7B Instruct v0.3 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. Both support tool calling for agent workflows.

Which has the bigger context window?

Mistral Large has the largest context window at 128,000 tokens, against 32,768 for Mistral 7B Instruct v0.3. Maximum output per response: Mistral 7B Instruct v0.3 up to 32,768, Mistral Large up to 102,400 tokens.

Which can read images, PDFs, audio or video?

Mistral 7B Instruct v0.3 accepts text; Mistral Large accepts text and PDFs. Mistral Large handles the widest range of inputs.

Are any of these open source?

Mistral 7B Instruct v0.3 publishes its weights (Apache 2.0) and can be self-hosted; Mistral Large is proprietary.

Which is newer?

Mistral 7B Instruct v0.3 is the newest, released May 22, 2024. Mistral Large came out Feb 26, 2024. 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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