Gemma 3 27B IT vs Ministral 3B vs Mistral Small 3.2
Too close to call on our weighted score (Gemma 3 27B IT 60, Mistral Small 3.2 60, Ministral 3B 49). The right pick depends on what you value most.
Google
Gemma 3 27B IT
60/100- ECI130.0
- Price$0.08 / $0.20
- Context131K
Mistral AI
Ministral 3B
49/100- ECI118.1
- Price$0.10 / $0.10
- Context128K
Mistral AI
Mistral Small 3.2
60/100- ECI131.7
- Price$0.10 / $0.30
- Context128K
Too close to call
It is close. Our weighted score puts them within a point (Gemma 3 27B IT 60/100, Mistral Small 3.2 60/100, Ministral 3B 49/100), so choose by what matters most for your work: Mistral Small 3.2 for raw capability, Ministral 3B on price and Gemma 3 27B 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 27B IT 130.0 · Ministral 3B 118.1
- Lowest priceMinistral 3BMinistral 3B $0.10 · Gemma 3 27B IT $0.11 · Mistral Small 3.2 $0.15 per 1M tokens (3:1 blend)
- Longest contextGemma 3 27B ITGemma 3 27B IT 131,072 · Ministral 3B 128,000 · Mistral Small 3.2 128,000 tokens
- Widest inputsGemma 3 27B IT and Mistral Small 3.2Gemma 3 27B IT: Text, Images · Ministral 3B: Text · Mistral Small 3.2: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 3 27B IT | Ministral 3B | Mistral Small 3.2 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 53 | 38 | 55 |
| Price | 25% | 95 | 97 | 89 |
| Inputs & features | 15% | 50 | 25 | 50 |
| Context window | 10% | 24 | 24 | 24 |
| Overall | 100% | 60/100 | 49/100 | 60/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 130.0 | 118.1 | 131.7 (best) |
| ECI rank | #125 of 148 | #144 of 148 | #123 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 47.7% | 25.3% | 49.1% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 22.5% | — | 30.3% (best) |
| Price per million tokens | |||
| Input | $0.08 (best) | $0.10 | $0.10 |
| Output | $0.20 | $0.10 (best) | $0.30 |
| Cached input | — | — | — |
| Blended (3:1) | $0.11 | $0.10 (best) | $0.15 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 9 providers | Median of 1 providers | Official Mistral API |
| Limits | |||
| Context window | 131,072 tokens (best) | 128,000 tokens | 128,000 tokens |
| Max output | 131,072 tokens (best) | 8,192 tokens | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | 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 | 10 (best) | 1 | 6 |
| Released | Mar 12, 2025 | Oct 16, 2024 | Jun 20, 2025 |
| Knowledge cutoff | Aug 2024 | Mar 2024 | Mar 2025 |
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
Ministral 3B$1.20
Mistral Small 3.2$1.60
Which should you choose?
Which is better: Gemma 3 27B IT, Ministral 3B or Mistral Small 3.2?
It is close. Our weighted score puts them within a point (Gemma 3 27B IT 60/100, Mistral Small 3.2 60/100, Ministral 3B 49/100), so choose by what matters most for your work: Mistral Small 3.2 for raw capability, Ministral 3B on price and Gemma 3 27B IT for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemma 3 27B IT, Ministral 3B or Mistral Small 3.2?
Ministral 3B is cheaper at $0.10 input / $0.10 output per million tokens (median across 1 API provider). Gemma 3 27B IT costs $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). At a typical mix of three input tokens to one output token, that is $0.10 per million tokens for Ministral 3B versus $0.11 for Gemma 3 27B IT (1.1× as much) and $0.15 for Mistral Small 3.2 (1.5× 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), Gemma 3 27B IT 130.0 (#125 of 148) and Ministral 3B 118.1 (#144 of 148). The confidence ranges of the top two overlap (126.6–133.9 vs 124.1–132.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Small 3.2 49.1%, Gemma 3 27B IT 47.7%, Ministral 3B 25.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3 27B IT, Ministral 3B and Mistral Small 3.2 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. All three 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 Ministral 3B and 128,000 for Mistral Small 3.2. Maximum output per response: Gemma 3 27B IT up to 131,072, Ministral 3B up to 8,192, 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; Ministral 3B 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?
Mistral Small 3.2 is the newest, released Jun 20, 2025. Gemma 3 27B IT came out Mar 12, 2025; Ministral 3B came out Oct 16, 2024. Knowledge cutoff: Gemma 3 27B IT Aug 2024, Ministral 3B Mar 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.