Mistral Small 3.2 vs Mistral Small 3.2 24B vs Gemma 3 27B IT
Too close to call on our weighted score (Mistral Small 3.2 24B 65, Mistral Small 3.2 62, Gemma 3 27B IT 62). The right pick depends on what you value most.
Mistral AIMistral Small 3.2
62/100- ECI—
- Price$0.10 / $0.30
- Context128K
- Mistral AI
Mistral Small 3.2 24B
65/100- ECI—
- Price$0.10 / $0.305
- Context256K
GoogleGemma 3 27B IT
62/100- ECI129.9
- Price$0.11 / $0.30
- Context131K
Too close to call
It is close. Our weighted score puts them within 2 points (Mistral Small 3.2 24B 65/100, Mistral Small 3.2 62/100, Gemma 3 27B IT 62/100), so choose by what matters most for your work: Mistral Small 3.2 on price and Mistral Small 3.2 24B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMistral Small 3.2Mistral Small 3.2 $0.15 · Mistral Small 3.2 24B $0.151 · Gemma 3 27B IT $0.157 per 1M tokens (3:1 blend)
- Longest contextMistral Small 3.2 24BMistral Small 3.2 24B 256,000 · Gemma 3 27B IT 131,072 · Mistral Small 3.2 128,000 tokens
- Widest inputsSame inputsMistral Small 3.2: Text, Images · Mistral Small 3.2 24B: Text, Images · Gemma 3 27B IT: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral Small 3.2 | Mistral Small 3.2 24B | Gemma 3 27B IT |
|---|---|---|---|---|
| Price | 50% | 85 | 85 | 84 |
| Inputs & features | 30% | 50 | 50 | 50 |
| Context window | 20% | 24 | 36 | 25 |
| Overall | 100% | 62/100 | 65/100 | 62/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral Small 3.2Mistral AI | Mistral Small 3.2 24BMistral AI | Gemma 3 27B ITGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | 129.9 |
| ECI rank | — | — | #137 of 165 |
| GPQA DiamondGraduate-level science questions | 49.1% (best) | — | 47.7% |
| OTIS Mock AIME 2024–2025Competition mathematics | 30.3% (best) | — | 22.5% |
| Price per million tokens | |||
| Input | $0.10 (best) | $0.10 (best) | $0.11 |
| Output | $0.30 | $0.305 | $0.30 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.15 (best) | $0.151 | $0.157 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 8 providers | Median of 16 providers |
| Limits | |||
| Context window | 128,000 tokens | 256,000 tokens (best) | 131,072 tokens |
| Max output | 16,384 tokens | 16,384 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | mistral-small-2506 | — | — |
| API providers | 7 | 8 | 17 (best) |
| Released | Jun 20, 2025 | Jun 20, 2025 | Mar 12, 2025 |
| Knowledge cutoff | Mar 2025 | Oct 31, 2023 | 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
- Mistral Small 3.2 24B$1.61
- Gemma 3 27B IT$1.69
Which should you choose?
Which is better: Mistral Small 3.2, Mistral Small 3.2 24B or Gemma 3 27B IT?
It is close. Our weighted score puts them within 2 points (Mistral Small 3.2 24B 65/100, Mistral Small 3.2 62/100, Gemma 3 27B IT 62/100), so choose by what matters most for your work: Mistral Small 3.2 on price and Mistral Small 3.2 24B for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Mistral Small 3.2, Mistral Small 3.2 24B or Gemma 3 27B IT?
Mistral Small 3.2 is cheaper at $0.10 input / $0.30 output per million tokens (official Mistral API price). Mistral Small 3.2 24B costs $0.10 input / $0.305 output per million tokens (median across 8 API providers); Gemma 3 27B IT costs $0.11 input / $0.30 output per million tokens (median across 16 API providers). 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 $0.151 for Mistral Small 3.2 24B (1× as much) and $0.157 for Gemma 3 27B IT (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Mistral Small 3.2 has not been scored yet, Mistral Small 3.2 24B has not been scored yet and Gemma 3 27B IT has an ECI of 129.9.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Small 3.2, Mistral Small 3.2 24B and Gemma 3 27B IT yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Mistral Small 3.2 24B has the largest context window at 256,000 tokens, against 131,072 for Gemma 3 27B IT and 128,000 for Mistral Small 3.2. Maximum output per response: Mistral Small 3.2 up to 16,384, Mistral Small 3.2 24B up to 16,384, Gemma 3 27B IT up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Mistral Small 3.2 accepts text and images; Mistral Small 3.2 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, all three publish their weights, so you can self-host them.
Which is newer?
Mistral Small 3.2 is the newest, released Jun 20, 2025. Mistral Small 3.2 24B came out Jun 20, 2025; Gemma 3 27B IT came out Mar 12, 2025. Knowledge cutoff: Mistral Small 3.2 Mar 2025, Mistral Small 3.2 24B Oct 31, 2023, 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 Nov 2, 2026.
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