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Comparison · 2 models · Updated Oct 4, 2026

Magistral Small vs DeepSeek-V3

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

  1. Mistral AI

    Magistral Small

    Released Jun 10, 2025

    50/100
    • ECI133.2
    • Price$0.50 / $1.50
    • Context131K
    Full specs Remove Magistral Small

  2. DeepSeek

    DeepSeek-V3

    Released Dec 26, 2024

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

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Too close to call

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

  • CapabilityMagistral SmallCapabilities Index (ECI): Magistral Small 133.2 · DeepSeek-V3 132.3
  • Lowest priceDeepSeek-V3DeepSeek-V3 $0.515 · Magistral Small $0.75 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMagistral Small 131,072 · DeepSeek-V3 131,072 tokens
  • Widest inputsSame inputsMagistral Small: Text · DeepSeek-V3: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMagistral SmallDeepSeek-V3
CapabilityCapabilities Index (ECI)50%5756
Price25%5664
Inputs & features15%3525
Context window10%2424
Overall100%50/10050/100
02 — Side by side

Every spec in one table

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

Magistral Small vs DeepSeek-V3 specifications side by side
SpecificationMagistral SmallMistral AIDeepSeek-V3DeepSeek
Capability
Capabilities Index (ECI)133.2 (best)132.3
ECI rank#120 of 148 (best)#121 of 148
GPQA DiamondGraduate-level science questions56.1%56.5% (best)
OTIS Mock AIME 2024–2025Competition mathematics30.0% (best)15.8%
Price per million tokens
Input$0.50$0.32 (best)
Output$1.50$1.10 (best)
Cached input——
Blended (3:1)$0.75$0.515 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 5 providers
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenApache 2.0OpenDeepSeek Model License
API model ID——
API providers15 (best)
ReleasedJun 10, 2025Dec 26, 2024
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.

  • Magistral Small$8.00
  • DeepSeek-V3$5.40
04 — Questions

Which should you choose?

Which is better: Magistral Small or DeepSeek-V3?

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

Which is cheaper, Magistral Small or DeepSeek-V3?

DeepSeek-V3 is cheaper at $0.32 input / $1.10 output per million tokens (median across 5 API providers). Magistral Small costs $0.50 input / $1.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.515 per million tokens for DeepSeek-V3 versus $0.75 for Magistral Small (1.5× as much).

Which scores higher on benchmarks?

Magistral Small scores higher on the Capabilities Index (ECI): Magistral Small 133.2 (#120 of 148) and DeepSeek-V3 132.3 (#121 of 148). The confidence ranges of the top two overlap (128.9–134.4 vs 127.5–135.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek-V3 56.5%, Magistral Small 56.1%; OTIS Mock AIME 2024–2025 — Magistral Small 30.0%, DeepSeek-V3 15.8%.

Which is better for coding?

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

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

Which can read images, PDFs, audio or video?

Magistral Small accepts text; DeepSeek-V3 accepts text. They handle the same number of input types.

Are any of these open source?

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

Which is newer?

Magistral Small is the newest, released Jun 10, 2025. DeepSeek-V3 came out Dec 26, 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 Oct 4, 2026.

05 — Keep comparing

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