ZMIME
Comparison · 2 models · Updated Oct 4, 2026

DeepSeek-V3 vs Mistral Medium 3

Too close to call on our weighted score (Mistral Medium 3 53, DeepSeek-V3 50). The right pick depends on what you value most.

  1. DeepSeek

    DeepSeek-V3

    Released Dec 26, 2024

    50/100
    • ECI132.3
    • Price$0.32 / $1.10
    • Context131K
    Full specs Remove DeepSeek-V3

  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 (Mistral Medium 3 53/100, DeepSeek-V3 50/100), so choose by what matters most for your work: Mistral Medium 3 for raw capability and DeepSeek-V3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Medium 3Capabilities Index (ECI): Mistral Medium 3 134.1 · DeepSeek-V3 132.3
  • Lowest priceDeepSeek-V3DeepSeek-V3 $0.515 · Mistral Medium 3 $0.80 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameDeepSeek-V3 131,072 · Mistral Medium 3 131,072 tokens
  • Widest inputsMistral Medium 3DeepSeek-V3: Text · Mistral Medium 3: Text, Images
  • Self-hostingDeepSeek-V3Publishes downloadable weights (DeepSeek Model License)
How the score is built
MeasureWeightDeepSeek-V3Mistral Medium 3
CapabilityCapabilities Index (ECI)50%5658
Price25%6454
Inputs & features15%2550
Context window10%2424
Overall100%50/10053/100
02 — Side by side

Every spec in one table

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

DeepSeek-V3 vs Mistral Medium 3 specifications side by side
SpecificationDeepSeek-V3DeepSeekMistral Medium 3Mistral AI
Capability
Capabilities Index (ECI)132.3134.1 (best)
ECI rank#121 of 148#117 of 148 (best)
GPQA DiamondGraduate-level science questions56.5%59.5% (best)
OTIS Mock AIME 2024–2025Competition mathematics15.8%32.2% (best)
Price per million tokens
Input$0.32 (best)$0.40
Output$1.10 (best)$2.00
Cached input——
Blended (3:1)$0.515 (best)$0.80
Long-context rateSame rateSame rate
Price sourceMedian of 5 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
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenDeepSeek Model LicenseProprietary
API model ID—mistral-medium-2505
API providers55
ReleasedDec 26, 2024May 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$5.40
  • Mistral Medium 3$8.00
04 — Questions

Which should you choose?

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

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

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

DeepSeek-V3 is cheaper at $0.32 input / $1.10 output per million tokens (median across 5 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 $0.515 per million tokens for DeepSeek-V3 versus $0.80 for Mistral Medium 3 (1.6× as much).

Which scores higher on benchmarks?

Mistral Medium 3 scores higher on the Capabilities Index (ECI): Mistral Medium 3 134.1 (#117 of 148) and DeepSeek-V3 132.3 (#121 of 148). The confidence ranges of the top two overlap (130.5–135.6 vs 127.5–135.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Medium 3 59.5%, DeepSeek-V3 56.5%; OTIS Mock AIME 2024–2025 — Mistral Medium 3 32.2%, DeepSeek-V3 15.8%.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek-V3 and Mistral Medium 3 yet, so there is no like-for-like coding score. On overall capability, Mistral Medium 3 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 and Mistral Medium 3 share the same 131,072-token context window. Maximum output per response: DeepSeek-V3 up to 8,192, Mistral Medium 3 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

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

Which is newer?

Mistral Medium 3 is the newest, released May 7, 2025. DeepSeek-V3 came out Dec 26, 2024. 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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