ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemma 3 27B IT vs MiniMax-M2.7 vs Mistral Small 3.2

Too close to call on our weighted score (MiniMax-M2.7 61, Gemma 3 27B IT 60, Mistral Small 3.2 60). The right pick depends on what you value most.

  1. Google

    Gemma 3 27B IT

    Released Mar 12, 2025

    60/100
    • ECI130.0
    • Price$0.08 / $0.20
    • Context131K
    Full specs Remove Gemma 3 27B IT

  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. 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
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (MiniMax-M2.7 61/100, Gemma 3 27B IT 60/100, Mistral Small 3.2 60/100), so choose by what matters most for your work: MiniMax-M2.7 for raw capability and Gemma 3 27B IT 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 · Gemma 3 27B IT 130.0
  • Lowest priceGemma 3 27B ITGemma 3 27B IT $0.11 · Mistral Small 3.2 $0.15 · MiniMax-M2.7 $0.525 per 1M tokens (3:1 blend)
  • Longest contextMiniMax-M2.7MiniMax-M2.7 204,800 · Gemma 3 27B IT 131,072 · Mistral Small 3.2 128,000 tokens
  • Widest inputsGemma 3 27B IT and Mistral Small 3.2Gemma 3 27B IT: Text, Images · MiniMax-M2.7: Text · Mistral Small 3.2: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGemma 3 27B ITMiniMax-M2.7Mistral Small 3.2
CapabilityCapabilities Index (ECI)50%537355
Price25%956389
Inputs & features15%503550
Context window10%243224
Overall100%60/10061/10060/100
02 — Side by side

Every spec in one table

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

Gemma 3 27B IT vs MiniMax-M2.7 vs Mistral Small 3.2 specifications side by side
SpecificationGemma 3 27B ITGoogleMiniMax-M2.7MiniMaxMistral Small 3.2Mistral AI
Capability
Capabilities Index (ECI)130.0145.9 (best)131.7
ECI rank#125 of 148#73 of 148 (best)#123 of 148
GPQA DiamondGraduate-level science questions47.7%—49.1% (best)
OTIS Mock AIME 2024–2025Competition mathematics22.5%—30.3% (best)
Price per million tokens
Input$0.08 (best)$0.30$0.10
Output$0.20 (best)$1.20$0.30
Cached input—$0.06—
Blended (3:1)$0.11 (best)$0.525$0.15
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 9 providersOfficial MiniMax (minimax.io) APIOfficial Mistral API
Limits
Context window131,072 tokens204,800 tokens (best)128,000 tokens
Max output131,072 tokens (best)131,072 tokens (best)16,384 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpen
API model ID—MiniMax-M2.7mistral-small-2506
API providers1029 (best)6
ReleasedMar 12, 2025Mar 18, 2026Jun 20, 2025
Knowledge cutoffAug 2024—Mar 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.

  • Gemma 3 27B IT$1.20
  • MiniMax-M2.7$5.40
  • Mistral Small 3.2$1.60
04 — Questions

Which should you choose?

Which is better: Gemma 3 27B IT, MiniMax-M2.7 or Mistral Small 3.2?

It is close. Our weighted score puts them within a point (MiniMax-M2.7 61/100, Gemma 3 27B IT 60/100, Mistral Small 3.2 60/100), so choose by what matters most for your work: MiniMax-M2.7 for raw capability and Gemma 3 27B IT on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemma 3 27B IT, MiniMax-M2.7 or Mistral Small 3.2?

Gemma 3 27B IT is cheaper at $0.08 input / $0.20 output per million tokens (median across 9 API providers). Mistral Small 3.2 costs $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 $0.11 per million tokens for Gemma 3 27B IT versus $0.15 for Mistral Small 3.2 (1.4× as much) and $0.525 for MiniMax-M2.7 (4.8× 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), Mistral Small 3.2 131.7 (#123 of 148) and Gemma 3 27B IT 130.0 (#125 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 Gemma 3 27B IT, MiniMax-M2.7 and Mistral Small 3.2 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. All three 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 131,072 for Gemma 3 27B IT and 128,000 for Mistral Small 3.2. Maximum output per response: Gemma 3 27B IT up to 131,072, MiniMax-M2.7 up to 131,072, Mistral Small 3.2 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Gemma 3 27B IT accepts text and images; MiniMax-M2.7 accepts text; Mistral Small 3.2 accepts text and images. Gemma 3 27B IT handles the widest range of inputs.

Are any of these open source?

Yes, all three 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; Gemma 3 27B IT came out Mar 12, 2025. Knowledge cutoff: Gemma 3 27B IT Aug 2024, 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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