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Comparison · 2 models · Updated Nov 2, 2026

Qwen3.8 27B vs Mistral Large 3

Too close to call on our weighted score (Qwen3.8 27B 53, Mistral Large 3 52). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3.8 27B

    Released Aug 14, 2026

    53/100
    • ECI151.8
    • Price$0.40 / $2.55
    • Context262K
    Full specs Remove Qwen3.8 27B

  2. Mistral AI

    Mistral Large 3

    Released Dec 2, 2025

    52/100
    • ECI—
    • Price$0.50 / $1.50
    • Context262K
    Full specs Remove Mistral Large 3

  3. Add a model

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Qwen3.8 27B 53/100, Mistral Large 3 52/100), so choose by what matters most for your work: Mistral Large 3 on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceMistral Large 3Mistral Large 3 $0.75 · Qwen3.8 27B $0.938 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameQwen3.8 27B 262,144 · Mistral Large 3 262,144 tokens
  • Widest inputsQwen3.8 27BQwen3.8 27B: Text, Images, Video · Mistral Large 3: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen3.8 27BMistral Large 3
Price50%4953
Inputs & features30%7060
Context window20%3737
Overall100%53/10052/100

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

Qwen3.8 27B vs Mistral Large 3 specifications side by side
SpecificationQwen3.8 27BAlibaba (Qwen)Mistral Large 3Mistral AI
Capability
Capabilities Index (ECI)151.8—
ECI rank#54 of 165—
Price per million tokens
Input$0.40 (best)$0.50
Output$2.55$1.50 (best)
Cached input—$0.05
Blended (3:1)$0.938$0.75 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 49 providersOfficial Mistral API
Limits
Context window262,144 tokens262,144 tokens
Max output32,768 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoYesNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpen
API model ID—mistral-large-2512
API providers53 (best)17
ReleasedAug 14, 2026Dec 2, 2025
Knowledge cutoff—Nov 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.

  • Qwen3.8 27B$9.10
  • Mistral Large 3$8.00
04 — Questions

Which should you choose?

Which is better: Qwen3.8 27B or Mistral Large 3?

It is close. Our weighted score puts them within a point (Qwen3.8 27B 53/100, Mistral Large 3 52/100), so choose by what matters most for your work: Mistral Large 3 on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Qwen3.8 27B or Mistral Large 3?

Mistral Large 3 is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). Qwen3.8 27B costs $0.40 input / $2.55 output per million tokens (median across 49 API providers). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large 3 versus $0.938 for Qwen3.8 27B (1.3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3.8 27B has an ECI of 151.8 and Mistral Large 3 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.8 27B and Mistral Large 3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen3.8 27B and Mistral Large 3 share the same 262,144-token context window. Maximum output per response: Qwen3.8 27B up to 32,768, Mistral Large 3 up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Qwen3.8 27B accepts text, images and video; Mistral Large 3 accepts text and images. Qwen3.8 27B 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?

Qwen3.8 27B is the newest, released Aug 14, 2026. Mistral Large 3 came out Dec 2, 2025. Knowledge cutoff: Mistral Large 3 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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