ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.2 vs MiniMax-M2.7

Too close to call on our weighted score (MiniMax-M2.7 61, Mistral Small 3.2 60). The right pick depends on what you value most.

  1. Mistral AI

    Mistral Small 3.2

    Released Jun 20, 2025

    60/100
    • ECI131.7
    • Price$0.10 / $0.30
    • Context128K
    Full specs Remove Mistral Small 3.2

  2. MiniMax

    MiniMax-M2.7

    Released Mar 18, 2026

    61/100
    • ECI145.9
    • Price$0.30 / $1.20
    • Context205K
    Full specs Remove MiniMax-M2.7

  3. Add a model

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (MiniMax-M2.7 61/100, Mistral Small 3.2 60/100), so choose by what matters most for your work: MiniMax-M2.7 for raw capability and Mistral Small 3.2 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMiniMax-M2.7Capabilities Index (ECI): MiniMax-M2.7 145.9 · Mistral Small 3.2 131.7
  • Lowest priceMistral Small 3.2Mistral Small 3.2 $0.15 · MiniMax-M2.7 $0.525 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M2.7MiniMax-M2.7 204,800 · Mistral Small 3.2 128,000 tokens
  • Widest inputsMistral Small 3.2Mistral Small 3.2: Text, Images · MiniMax-M2.7: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Small 3.2MiniMax-M2.7
CapabilityCapabilities Index (ECI)50%5573
Price25%8963
Inputs & features15%5035
Context window10%2432
Overall100%60/10061/100
02 — Side by side

Every spec in one table

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

Mistral Small 3.2 vs MiniMax-M2.7 specifications side by side
SpecificationMistral Small 3.2Mistral AIMiniMax-M2.7MiniMax
Capability
Capabilities Index (ECI)131.7145.9 (best)
ECI rank#123 of 148#73 of 148 (best)
GPQA DiamondGraduate-level science questions49.1%—
OTIS Mock AIME 2024–2025Competition mathematics30.3%—
Price per million tokens
Input$0.10 (best)$0.30
Output$0.30 (best)$1.20
Cached input—$0.06
Blended (3:1)$0.15 (best)$0.525
Long-context rateSame rateSame rate
Price sourceOfficial Mistral APIOfficial MiniMax (minimax.io) API
Limits
Context window128,000 tokens204,800 tokens (best)
Max output16,384 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDmistral-small-2506MiniMax-M2.7
API providers629 (best)
ReleasedJun 20, 2025Mar 18, 2026
Knowledge cutoffMar 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.

  • Mistral Small 3.2$1.60
  • MiniMax-M2.7$5.40
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.2 or MiniMax-M2.7?

It is close. Our weighted score puts them within 1 points (MiniMax-M2.7 61/100, Mistral Small 3.2 60/100), so choose by what matters most for your work: MiniMax-M2.7 for raw capability and Mistral Small 3.2 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Small 3.2 or MiniMax-M2.7?

Mistral Small 3.2 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). MiniMax-M2.7 costs $0.30 input / $1.20 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Mistral Small 3.2 versus $0.525 for MiniMax-M2.7 (3.5× as much).

Which scores higher on benchmarks?

MiniMax-M2.7 scores higher on the Capabilities Index (ECI): MiniMax-M2.7 145.9 (#73 of 148) and Mistral Small 3.2 131.7 (#123 of 148). Their confidence ranges do not overlap (138.2–148.0 vs 126.6–133.9), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.2 and MiniMax-M2.7 yet, so there is no like-for-like coding score. On overall capability, MiniMax-M2.7 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?

MiniMax-M2.7 has the largest context window at 204,800 tokens, against 128,000 for Mistral Small 3.2. Maximum output per response: Mistral Small 3.2 up to 16,384, MiniMax-M2.7 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.2 accepts text and images; MiniMax-M2.7 accepts text. Mistral Small 3.2 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?

MiniMax-M2.7 is the newest, released Mar 18, 2026. Mistral Small 3.2 came out Jun 20, 2025. Knowledge cutoff: Mistral Small 3.2 Mar 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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