Mistral Nemotron vs MiniMax M1 80K vs Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite comes out ahead, 84 to 45 and 25 on our weighted score, and it is the cheaper option too.
NVIDIAMistral Nemotron
25/100- ECI—
- Price—
- Context128K
MiniMaxMiniMax M1 80K
45/100- ECI—
- Price$0.55 / $2.20
- Context1M
- Our pick
GoogleGemini 2.5 Flash-Lite
84/100- ECI—
- Price$0.10 / $0.40
- Context1.05M
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 84/100 against MiniMax M1 80K (45) and Mistral Nemotron (25). It leads on inputs & features. 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 priceGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite $0.175 · MiniMax M1 80K $0.963 per 1M tokens (3:1 blend) · Mistral Nemotron unpriced
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · MiniMax M1 80K 1,000,000 · Mistral Nemotron 128,000 tokens
- Widest inputsGemini 2.5 Flash-LiteMistral Nemotron: Text · MiniMax M1 80K: Text · Gemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video
- Self-hostingMiniMax M1 80KPublishes downloadable weights (Apache-2.0)
| Measure | Weight | Mistral Nemotron | MiniMax M1 80K | Gemini 2.5 Flash-Lite |
|---|---|---|---|---|
| Inputs & features | 60% | 25 | 35 | 100 |
| Context window | 40% | 24 | 60 | 61 |
| Overall | 100% | 25/100 | 45/100 | 84/100 |
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 | Mistral NemotronNVIDIA | MiniMax M1 80KMiniMax | Gemini 2.5 Flash-LiteGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $0.55 | $0.10 (best) |
| Output | — | $2.20 | $0.40 (best) |
| Cached input | — | — | $0.01 |
| Blended (3:1) | — | $0.963 | $0.175 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 5 providers | Official Google API |
| Limits | |||
| Context window | 128,000 tokens | 1,000,000 tokens | 1,048,576 tokens (best) |
| Max output | 8,192 tokens | 80,000 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | No | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | OpenApache-2.0 | Proprietary |
| API model ID | — | — | gemini-2.5-flash-lite |
| API providers | — | 5 | 24 (best) |
| Released | Jun 11, 2025 | Jun 17, 2025 | Jun 17, 2025 |
| Knowledge cutoff | — | — | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mistral Nemotron—
- MiniMax M1 80K$9.90
- Gemini 2.5 Flash-Lite$1.80
Which should you choose?
Which is better: Mistral Nemotron, MiniMax M1 80K or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 84/100 against MiniMax M1 80K (45) and Mistral Nemotron (25). It leads on inputs & features. 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, Mistral Nemotron, MiniMax M1 80K or Gemini 2.5 Flash-Lite?
Gemini 2.5 Flash-Lite is cheaper at $0.10 input / $0.40 output per million tokens (official Google API price). MiniMax M1 80K costs $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 $0.175 per million tokens for Gemini 2.5 Flash-Lite versus $0.963 for MiniMax M1 80K (5.5× as much). Mistral Nemotron has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Mistral Nemotron has not been scored yet, MiniMax M1 80K has not been scored yet and Gemini 2.5 Flash-Lite has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Nemotron, MiniMax M1 80K and Gemini 2.5 Flash-Lite 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?
Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 1,000,000 for MiniMax M1 80K and 128,000 for Mistral Nemotron. Maximum output per response: Mistral Nemotron up to 8,192, MiniMax M1 80K up to 80,000, Gemini 2.5 Flash-Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Mistral Nemotron accepts text; MiniMax M1 80K accepts text; Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
MiniMax M1 80K publishes its weights (Apache-2.0) and can be self-hosted; Mistral Nemotron and Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
MiniMax M1 80K is the newest, released Jun 17, 2025. Gemini 2.5 Flash-Lite came out Jun 17, 2025; Mistral Nemotron came out Jun 11, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 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 Nov 2, 2026.
