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Comparison · 2 models · Updated Oct 4, 2026

DeepSeek-V3.1 vs Mistral Medium 3

Too close to call on our weighted score (DeepSeek-V3.1 55, Mistral Medium 3 53). The right pick depends on what you value most.

  1. DeepSeek

    DeepSeek-V3.1

    Released Aug 21, 2025

    55/100
    • ECI139.9
    • Price$0.385 / $1.25
    • Context131K
    Full specs Remove DeepSeek-V3.1

  2. Mistral AI

    Mistral Medium 3

    Released May 7, 2025

    53/100
    • ECI134.1
    • Price$0.40 / $2.00
    • Context131K
    Full specs Remove Mistral Medium 3

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (DeepSeek-V3.1 55/100, Mistral Medium 3 53/100), so choose by what matters most for your work: DeepSeek-V3.1 for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek-V3.1Capabilities Index (ECI): DeepSeek-V3.1 139.9 · Mistral Medium 3 134.1
  • Lowest priceDeepSeek-V3.1DeepSeek-V3.1 $0.601 · Mistral Medium 3 $0.80 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameDeepSeek-V3.1 131,072 · Mistral Medium 3 131,072 tokens
  • Widest inputsMistral Medium 3DeepSeek-V3.1: Text · Mistral Medium 3: Text, Images
  • Self-hostingDeepSeek-V3.1Publishes downloadable weights (MIT License)
How the score is built
MeasureWeightDeepSeek-V3.1Mistral Medium 3
CapabilityCapabilities Index (ECI)50%6558
Price25%6054
Inputs & features15%3550
Context window10%2424
Overall100%55/10053/100
02 — Side by side

Every spec in one table

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

DeepSeek-V3.1 vs Mistral Medium 3 specifications side by side
SpecificationDeepSeek-V3.1DeepSeekMistral Medium 3Mistral AI
Capability
Capabilities Index (ECI)139.9 (best)134.1
ECI rank#100 of 148 (best)#117 of 148
GPQA DiamondGraduate-level science questions—59.5%
OTIS Mock AIME 2024–2025Competition mathematics—32.2%
Price per million tokens
Input$0.385 (best)$0.40
Output$1.25 (best)$2.00
Cached input——
Blended (3:1)$0.601 (best)$0.80
Long-context rateSame rateSame rate
Price sourceMedian of 8 providersOfficial Mistral API
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenMIT LicenseProprietary
API model ID—mistral-medium-2505
API providers8 (best)5
ReleasedAug 21, 2025May 7, 2025
Knowledge cutoff—May 2025
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.

  • DeepSeek-V3.1$6.35
  • Mistral Medium 3$8.00
04 — Questions

Which should you choose?

Which is better: DeepSeek-V3.1 or Mistral Medium 3?

It is close. Our weighted score puts them within 3 points (DeepSeek-V3.1 55/100, Mistral Medium 3 53/100), so choose by what matters most for your work: DeepSeek-V3.1 for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek-V3.1 or Mistral Medium 3?

DeepSeek-V3.1 is cheaper at $0.385 input / $1.25 output per million tokens (median across 8 API providers). Mistral Medium 3 costs $0.40 input / $2.00 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.601 per million tokens for DeepSeek-V3.1 versus $0.80 for Mistral Medium 3 (1.3× as much).

Which scores higher on benchmarks?

DeepSeek-V3.1 scores higher on the Capabilities Index (ECI): DeepSeek-V3.1 139.9 (#100 of 148) and Mistral Medium 3 134.1 (#117 of 148). Their confidence ranges do not overlap (136.1–143.3 vs 130.5–135.6), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek-V3.1 and Mistral Medium 3 yet, so there is no like-for-like coding score. On overall capability, DeepSeek-V3.1 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?

DeepSeek-V3.1 and Mistral Medium 3 share the same 131,072-token context window. Maximum output per response: DeepSeek-V3.1 up to 8,192, Mistral Medium 3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

DeepSeek-V3.1 accepts text; Mistral Medium 3 accepts text and images. Mistral Medium 3 handles the widest range of inputs.

Are any of these open source?

DeepSeek-V3.1 publishes its weights (MIT License) and can be self-hosted; Mistral Medium 3 is proprietary.

Which is newer?

DeepSeek-V3.1 is the newest, released Aug 21, 2025. Mistral Medium 3 came out May 7, 2025. Knowledge cutoff: Mistral Medium 3 May 2025.

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 Oct 4, 2026.

05 — Keep comparing

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