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Comparison · 2 models · Updated Oct 4, 2026

Gemma 3 12B IT vs Mistral Small 3.1 24B

Too close to call on our weighted score (Gemma 3 12B IT 57, Mistral Small 3.1 24B 55). The right pick depends on what you value most.

  1. Google

    Gemma 3 12B IT

    Released Mar 12, 2025

    57/100
    • ECI123.5
    • Price$0.05 / $0.15
    • Context131K
    Full specs Remove Gemma 3 12B IT

  2. Mistral AI

    Mistral Small 3.1 24B

    Released Mar 17, 2025

    55/100
    • ECI127.5
    • Price$0.229 / $0.436
    • Context128K
    Full specs Remove Mistral Small 3.1 24B

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Gemma 3 12B IT 57/100, Mistral Small 3.1 24B 55/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability, Gemma 3 12B IT on price and Gemma 3 12B IT for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMistral Small 3.1 24BCapabilities Index (ECI): Mistral Small 3.1 24B 127.5 · Gemma 3 12B IT 123.5
  • Lowest priceGemma 3 12B ITGemma 3 12B IT $0.075 · Mistral Small 3.1 24B $0.281 per 1M tokens (3:1 blend)
  • Longest contextGemma 3 12B ITGemma 3 12B IT 131,072 · Mistral Small 3.1 24B 128,000 tokens
  • Widest inputsSame inputsGemma 3 12B IT: Text, Images · Mistral Small 3.1 24B: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGemma 3 12B ITMistral Small 3.1 24B
CapabilityCapabilities Index (ECI)50%4550
Price25%10076
Inputs & features15%5060
Context window10%2424
Overall100%57/10055/100
02 — Side by side

Every spec in one table

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

Gemma 3 12B IT vs Mistral Small 3.1 24B specifications side by side
SpecificationGemma 3 12B ITGoogleMistral Small 3.1 24BMistral AI
Capability
Capabilities Index (ECI)123.5127.5 (best)
ECI rank#138 of 148#132 of 148 (best)
GPQA DiamondGraduate-level science questions39.5%47.5% (best)
OTIS Mock AIME 2024–2025Competition mathematics16.7% (best)5.8%
Price per million tokens
Input$0.05 (best)$0.229
Output$0.15 (best)$0.436
Cached input——
Blended (3:1)$0.075 (best)$0.281
Long-context rateSame rateSame rate
Price sourceMedian of 7 providersMedian of 2 providers
Limits
Context window131,072 tokens (best)128,000 tokens
Max output131,072 tokens (best)16,384 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpen
API model ID——
API providers7 (best)2
ReleasedMar 12, 2025Mar 17, 2025
Knowledge cutoffAug 2024Jun 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.

  • Gemma 3 12B IT$0.80
  • Mistral Small 3.1 24B$3.16
04 — Questions

Which should you choose?

Which is better: Gemma 3 12B IT or Mistral Small 3.1 24B?

It is close. Our weighted score puts them within 2 points (Gemma 3 12B IT 57/100, Mistral Small 3.1 24B 55/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability, Gemma 3 12B IT on price and Gemma 3 12B IT for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemma 3 12B IT or Mistral Small 3.1 24B?

Gemma 3 12B IT is cheaper at $0.05 input / $0.15 output per million tokens (median across 7 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 $0.075 per million tokens for Gemma 3 12B IT versus $0.281 for Mistral Small 3.1 24B (3.7× as much).

Which scores higher on benchmarks?

Mistral Small 3.1 24B scores higher on the Capabilities Index (ECI): Mistral Small 3.1 24B 127.5 (#132 of 148) and Gemma 3 12B IT 123.5 (#138 of 148). The confidence ranges of the top two overlap (122.6–129.4 vs 115.6–129.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Small 3.1 24B 47.5%, Gemma 3 12B IT 39.5%; OTIS Mock AIME 2024–2025 — Gemma 3 12B IT 16.7%, Mistral Small 3.1 24B 5.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Gemma 3 12B IT and Mistral Small 3.1 24B yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.1 24B 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 12B IT has the largest context window at 131,072 tokens, against 128,000 for Mistral Small 3.1 24B. Maximum output per response: Gemma 3 12B IT up to 131,072, Mistral Small 3.1 24B up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Gemma 3 12B IT accepts text and images; Mistral Small 3.1 24B 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 12B IT came out Mar 12, 2025. Knowledge cutoff: Gemma 3 12B IT Aug 2024, Mistral Small 3.1 24B Jun 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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