Mistral AIMistral Nemo
Not yet ranked: too few independent results so far. Released 30 Jul 2024.
- Blended price
- $0.150/M
- $0.150 in · $0.150 out
- Output speed
- 30 tok/s
- First answer
- 0.55 s
- Context
- 128k
Benchmark results
One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Composite
| Benchmark | default | Source |
|---|---|---|
| Epoch Capabilities Indexnot in index | 118.7#167 | Epoch AI Benchmarking Hub |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Parasail | 40 tok/s | 0.47 s | $0.030 | $0.030 | 131k | fp8 |
| NovitaAI | 34 tok/s | 0.85 s | $0.040 | $0.170 | 60k | fp8 |
| DeepInfra | 25 tok/s | 0.60 s | $0.019 | $0.030 | 131k | fp8 |
| io.net | 22 tok/s | 0.49 s | $0.044 | $0.160 | 128k | fp16 |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0001 | – | 10.7 s |
| Summarise a 30-page report | 12,000 / 600 | $0.0019 | – | 20.9 s |
| Code edit | 6,000 / 1,500 | $0.0011 | – | 51.4 s |
| Agentic coding session | 60,000 / 4,000 | $0.0096 | – | 2.3 min |
| Structured extraction | 2,000 / 200 | $0.0003 | – | 7.3 s |
See also
Data as of 9 Sept 2026. Compare with another model.