Gemma 3n E4B IT vs Mistral Small 3.2 24B
Mistral Small 3.2 24B comes out ahead, 44 to 21 on our weighted score, and it is the cheaper option too.
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Gemma 3n E4B IT
21/100- ECI—
- Price—
- Context33K
- Our pick
Mistral AI
Mistral Small 3.2 24B
44/100- ECI—
- Price$0.10 / $0.305
- Context256K
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Make it a three-way comparison.
Mistral Small 3.2 24B is our pick
Mistral Small 3.2 24B is the better all-round choice, scoring 44/100 against Gemma 3n E4B IT (21). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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 3.2 24BMistral Small 3.2 24B $0.151 per 1M tokens (3:1 blend) · Gemma 3n E4B IT unpriced
- Longest contextMistral Small 3.2 24BMistral Small 3.2 24B 256,000 · Gemma 3n E4B IT 32,768 tokens
- Widest inputsGemma 3n E4B ITGemma 3n E4B IT: Text, Images, Audio · Mistral Small 3.2 24B: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 3n E4B IT | Mistral Small 3.2 24B |
|---|---|---|---|
| Inputs & features | 60% | 35 | 50 |
| Context window | 40% | 0 | 36 |
| Overall | 100% | 21/100 | 44/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $0.10 |
| Output | — | $0.305 |
| Cached input | — | — |
| Blended (3:1) | — | $0.151 |
| Long-context rate | — | Same rate |
| Price source | — | Median of 8 providers |
| Limits | ||
| Context window | 32,768 tokens | 256,000 tokens (best) |
| Max output | 32,768 tokens (best) | 16,384 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | Yes | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenGemma Terms of Use | Open |
| API model ID | — | — |
| API providers | — | 8 |
| Released | Jun 26, 2025 | Jun 20, 2025 |
| Knowledge cutoff | Jun 2024 | Oct 31, 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemma 3n E4B IT—
Mistral Small 3.2 24B$1.61
Which should you choose?
Which is better: Gemma 3n E4B IT or Mistral Small 3.2 24B?
Mistral Small 3.2 24B is the better all-round choice, scoring 44/100 against Gemma 3n E4B IT (21). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemma 3n E4B IT or Mistral Small 3.2 24B?
Mistral Small 3.2 24B is cheaper at $0.10 input / $0.305 output per million tokens (median across 8 API providers). . At a typical mix of three input tokens to one output token, that is $0.151 per million tokens for Mistral Small 3.2 24B versus . Gemma 3n E4B IT has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemma 3n E4B IT has not been scored yet and Mistral Small 3.2 24B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3n E4B IT and Mistral Small 3.2 24B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma 3n E4B IT does not support tool calling, which most coding agents need.
Which has the bigger context window?
Mistral Small 3.2 24B has the largest context window at 256,000 tokens, against 32,768 for Gemma 3n E4B IT. Maximum output per response: Gemma 3n E4B IT up to 32,768, Mistral Small 3.2 24B up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Gemma 3n E4B IT accepts text, images and audio; Mistral Small 3.2 24B accepts text and images. Gemma 3n E4B IT handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (Gemma Terms of Use), so you can self-host them.
Which is newer?
Gemma 3n E4B IT is the newest, released Jun 26, 2025. Mistral Small 3.2 24B came out Jun 20, 2025. Knowledge cutoff: Gemma 3n E4B IT Jun 2024, Mistral Small 3.2 24B Oct 31, 2023.
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.