Gemma 3n E2B IT vs MiniMax M1 80K vs Mistral Nemotron
MiniMax M1 80K comes out ahead, 45 to 25 and 21 on our weighted score, and it is the cheaper option too.
GoogleGemma 3n E2B IT
21/100- ECI—
- Price—
- Context33K
- Our pick
MiniMaxMiniMax M1 80K
45/100- ECI—
- Price$0.55 / $2.20
- Context1M
NVIDIAMistral Nemotron
25/100- ECI—
- Price—
- Context128K
MiniMax M1 80K is our pick
MiniMax M1 80K is the better all-round choice, scoring 45/100 against Mistral Nemotron (25) and Gemma 3n E2B IT (21). It leads on 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 priceMiniMax M1 80KMiniMax M1 80K $0.963 per 1M tokens (3:1 blend) · Gemma 3n E2B IT and Mistral Nemotron unpriced
- Longest contextMiniMax M1 80KMiniMax M1 80K 1,000,000 · Mistral Nemotron 128,000 · Gemma 3n E2B IT 32,768 tokens
- Widest inputsGemma 3n E2B ITGemma 3n E2B IT: Text, Images, Audio · MiniMax M1 80K: Text · Mistral Nemotron: Text
- Self-hostingGemma 3n E2B IT and MiniMax M1 80KPublishes downloadable weights (Gemma Terms of Use and Apache-2.0)
| Measure | Weight | Gemma 3n E2B IT | MiniMax M1 80K | Mistral Nemotron |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 35 | 25 |
| Context window | 40% | 0 | 60 | 24 |
| Overall | 100% | 21/100 | 45/100 | 25/100 |
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 | Gemma 3n E2B ITGoogle | MiniMax M1 80KMiniMax | Mistral NemotronNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.55 | — |
| Output | — | $2.20 | — |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.963 | — |
| Long-context rate | — | Same rate | — |
| Price source | — | Median of 5 providers | — |
| Limits | |||
| Context window | 32,768 tokens | 1,000,000 tokens (best) | 128,000 tokens |
| Max output | 32,768 tokens | 80,000 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenGemma Terms of Use | OpenApache-2.0 | Proprietary |
| API model ID | — | — | — |
| API providers | — | 5 | — |
| Released | Jun 26, 2025 | Jun 17, 2025 | Jun 11, 2025 |
| Knowledge cutoff | Jun 2024 | — | — |
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 E2B IT—
- MiniMax M1 80K$9.90
- Mistral Nemotron—
Which should you choose?
Which is better: Gemma 3n E2B IT, MiniMax M1 80K or Mistral Nemotron?
MiniMax M1 80K is the better all-round choice, scoring 45/100 against Mistral Nemotron (25) and Gemma 3n E2B IT (21). It leads on 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 E2B IT, MiniMax M1 80K or Mistral Nemotron?
MiniMax M1 80K is cheaper at $0.55 input / $2.20 output per million tokens (median across 5 API providers). . At a typical mix of three input tokens to one output token, that is $0.963 per million tokens for MiniMax M1 80K versus . Gemma 3n E2B IT and Mistral Nemotron has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemma 3n E2B IT has not been scored yet, MiniMax M1 80K has not been scored yet and Mistral Nemotron has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 3n E2B IT, MiniMax M1 80K and Mistral Nemotron yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Gemma 3n E2B IT does not support tool calling, which most coding agents need.
Which has the bigger context window?
MiniMax M1 80K has the largest context window at 1,000,000 tokens, against 128,000 for Mistral Nemotron and 32,768 for Gemma 3n E2B IT. Maximum output per response: Gemma 3n E2B IT up to 32,768, MiniMax M1 80K up to 80,000, Mistral Nemotron up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Gemma 3n E2B IT accepts text, images and audio; MiniMax M1 80K accepts text; Mistral Nemotron accepts text. Gemma 3n E2B IT handles the widest range of inputs.
Are any of these open source?
Gemma 3n E2B IT and MiniMax M1 80K publishes its weights (Gemma Terms of Use and Apache-2.0) and can be self-hosted; Mistral Nemotron is proprietary.
Which is newer?
Gemma 3n E2B IT is the newest, released Jun 26, 2025. MiniMax M1 80K came out Jun 17, 2025; Mistral Nemotron came out Jun 11, 2025. Knowledge cutoff: Gemma 3n E2B IT 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 Nov 2, 2026.
