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Comparison · 2 models · Updated Oct 4, 2026

Mistral Small 3.1 24B vs Gemma 3 27B IT

Gemma 3 27B IT comes out ahead, 60 to 55 on our weighted score, and it is the cheaper option too.

  1. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    55/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
  2. Our pick

    Google

    Gemma 3 27B IT

    Released Mar 12, 2025

    60/100
    • ECI130.0
    • Price$0.08 / $0.20
    • Context131K
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01 — Verdict

Gemma 3 27B IT is our pick

Gemma 3 27B IT is the better all-round choice, scoring 60/100 against Mistral Small 3.1 24B (55). It leads on capability and price. Mistral Small 3.1 24B wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemma 3 27B ITCapabilities Index (ECI): Gemma 3 27B IT 130.0 · Mistral Small 3.1 24B 127.5
  • Lowest priceGemma 3 27B ITGemma 3 27B IT $0.11 · Mistral Small 3.1 24B $0.281 per 1M tokens (3:1 blend)
  • Longest contextGemma 3 27B ITGemma 3 27B IT 131,072 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsSame inputsMistral Small 3.1 24B: Text, Images · Gemma 3 27B IT: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMistral Small 3.1 24BGemma 3 27B IT
CapabilityCapabilities Index (ECI)50%5053
Price25%7695
Inputs & features15%6050
Context window10%2424
Overall100%55/10060/100
02 — Side by side

Every spec in one table

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

Mistral Small 3.1 24B vs Gemma 3 27B IT specifications side by side
SpecificationMistral Small 3.1 24BMistral AIGemma 3 27B ITGoogle
Capability
Capabilities Index (ECI)127.5130.0 (best)
ECI rank#132 of 148#125 of 148 (best)
GPQA DiamondGraduate-level science questions47.5%47.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics5.8%22.5% (best)
Price per million tokens
Input$0.229$0.08 (best)
Output$0.436$0.20 (best)
Cached input——
Blended (3:1)$0.281$0.11 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 2 providersMedian of 9 providers
Limits
Context window128,000 tokens131,072 tokens (best)
Max output16,384 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenOpen
API model ID——
API providers210 (best)
ReleasedMar 17, 2025Mar 12, 2025
Knowledge cutoffJun 2024Aug 2024
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 3.1 24B$3.16
  • Gemma 3 27B IT$1.20
04 — Questions

Which should you choose?

Which is better: Mistral Small 3.1 24B or Gemma 3 27B IT?

Gemma 3 27B IT is the better all-round choice, scoring 60/100 against Mistral Small 3.1 24B (55). It leads on capability and price. Mistral Small 3.1 24B wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Mistral Small 3.1 24B or Gemma 3 27B IT?

Gemma 3 27B IT is cheaper at $0.08 input / $0.20 output per million tokens (median across 9 API providers). Mistral Small 3.1 24B costs $0.229 input / $0.436 output per million tokens (median across 2 API providers). 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 $0.281 for Mistral Small 3.1 24B (2.6× as much).

Which scores higher on benchmarks?

Gemma 3 27B IT scores higher on the Capabilities Index (ECI): Gemma 3 27B IT 130.0 (#125 of 148) and Mistral Small 3.1 24B 127.5 (#132 of 148). The confidence ranges of the top two overlap (124.1–132.2 vs 122.6–129.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemma 3 27B IT 47.7%, Mistral Small 3.1 24B 47.5%; OTIS Mock AIME 2024–2025 — Gemma 3 27B IT 22.5%, Mistral Small 3.1 24B 5.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Mistral Small 3.1 24B and Gemma 3 27B IT yet, so there is no like-for-like coding score. On overall capability, Gemma 3 27B IT 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?

Gemma 3 27B IT has the largest context window at 131,072 tokens, against 128,000 for Mistral Small 3.1 24B. Maximum output per response: Mistral Small 3.1 24B up to 16,384, Gemma 3 27B IT up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Mistral Small 3.1 24B accepts text and images; Gemma 3 27B IT accepts text and images. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Mistral Small 3.1 24B is the newest, released Mar 17, 2025. Gemma 3 27B IT came out Mar 12, 2025. Knowledge cutoff: Mistral Small 3.1 24B Jun 2024, Gemma 3 27B IT Aug 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.