Mistral Small 3.2 vs Gemma 3 12B IT
Too close to call on our weighted score (Mistral Small 3.2 60, Gemma 3 12B IT 57). The right pick depends on what you value most.
Mistral AI
Mistral Small 3.2
60/100- ECI131.7
- Price$0.10 / $0.30
- Context128K
Google
Gemma 3 12B IT
57/100- ECI123.5
- Price$0.05 / $0.15
- Context131K
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Too close to call
It is close. Our weighted score puts them within 2 points (Mistral Small 3.2 60/100, Gemma 3 12B IT 57/100), so choose by what matters most for your work: Mistral Small 3.2 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 3.2Capabilities Index (ECI): Mistral Small 3.2 131.7 · Gemma 3 12B IT 123.5
- Lowest priceGemma 3 12B ITGemma 3 12B IT $0.075 · Mistral Small 3.2 $0.15 per 1M tokens (3:1 blend)
- Longest contextGemma 3 12B ITGemma 3 12B IT 131,072 · Mistral Small 3.2 128,000 tokens
- Widest inputsSame inputsMistral Small 3.2: Text, Images · Gemma 3 12B IT: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral Small 3.2 | Gemma 3 12B IT |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 55 | 45 |
| Price | 25% | 89 | 100 |
| Inputs & features | 15% | 50 | 50 |
| Context window | 10% | 24 | 24 |
| Overall | 100% | 60/100 | 57/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 131.7 (best) | 123.5 |
| ECI rank | #123 of 148 (best) | #138 of 148 |
| GPQA DiamondGraduate-level science questions | 49.1% (best) | 39.5% |
| OTIS Mock AIME 2024–2025Competition mathematics | 30.3% (best) | 16.7% |
| Price per million tokens | ||
| Input | $0.10 | $0.05 (best) |
| Output | $0.30 | $0.15 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.15 | $0.075 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 7 providers |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 16,384 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | mistral-small-2506 | — |
| API providers | 6 | 7 (best) |
| Released | Jun 20, 2025 | Mar 12, 2025 |
| Knowledge cutoff | Mar 2025 | Aug 2024 |
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
Gemma 3 12B IT$0.80
Which should you choose?
Which is better: Mistral Small 3.2 or Gemma 3 12B IT?
It is close. Our weighted score puts them within 2 points (Mistral Small 3.2 60/100, Gemma 3 12B IT 57/100), so choose by what matters most for your work: Mistral Small 3.2 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, Mistral Small 3.2 or Gemma 3 12B IT?
Gemma 3 12B IT is cheaper at $0.05 input / $0.15 output per million tokens (median across 7 API providers). Mistral Small 3.2 costs $0.10 input / $0.30 output per million tokens (official Mistral API price). 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 $0.15 for Mistral Small 3.2 (2× as much).
Which scores higher on benchmarks?
Mistral Small 3.2 scores higher on the Capabilities Index (ECI): Mistral Small 3.2 131.7 (#123 of 148) and Gemma 3 12B IT 123.5 (#138 of 148). The confidence ranges of the top two overlap (126.6–133.9 vs 115.6–129.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Small 3.2 49.1%, Gemma 3 12B IT 39.5%; OTIS Mock AIME 2024–2025 — Mistral Small 3.2 30.3%, Gemma 3 12B IT 16.7%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Small 3.2 and Gemma 3 12B IT yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.2 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 3.2. Maximum output per response: Mistral Small 3.2 up to 16,384, Gemma 3 12B IT up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Mistral Small 3.2 accepts text and images; Gemma 3 12B 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 3.2 is the newest, released Jun 20, 2025. Gemma 3 12B IT came out Mar 12, 2025. Knowledge cutoff: Mistral Small 3.2 Mar 2025, Gemma 3 12B 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.