Mistral AIMistral Nemo
Mistral Nemo is a Mistral AI open-weights model, released 18 Jul 2024. It is not yet ranked: no independent benchmark results so far, only pricing and metadata. At $0.029 per million tokens blended it is among the cheapest fifth of ranked models. Output speed of 21 tokens per second puts it in the slowest quarter, with a first token in 0.8 s.
- Blended price
- $0.029/M
- $0.029 in · $0.030 out
- Output speed
- 21 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 0.81 s
- Context
- 131k
- Full answer
- –
- Cost per run
- –
- Released
- 18 Jul 2024
Benchmark results
See all LLM benchmarks. 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.
Reasoning
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| DTBenchnot in index | 48.6%#218 | Epoch AI Benchmarking Hub |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Epoch Capabilities Indexnot in index | 118.7#180 | 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 |
|---|---|---|---|---|---|---|
| Mistral | 86 tok/s | 1.34 s | $0.150 | $0.150 | 131k | – |
| Parasail | 53 tok/s | 0.46 s | $0.030 | $0.030 | 131k | fp8 |
| io.net | 49 tok/s | 0.34 s | $0.017 | $0.022 | 128k | fp16 |
| DeepInfra | 38 tok/s | 0.65 s | $0.029 | $0.030 | 131k | fp8 |
| DekaLLM | 16 tok/s | 0.51 s | $0.018 | $0.030 | 131k | fp8 |
Price history
The price above, per 1M tokens, every day it changed.
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 | $0.0000 | – | 15.1 s |
| Summarize a 30-page report | 12,000 / 600 | $0.0004 | – | 29.4 s |
| Code edit | 6,000 / 1,500 | $0.0002 | – | 1.2 min |
| Agentic coding session | 60,000 / 4,000 | $0.0019 | – | 3.2 min |
| Structured extraction | 2,000 / 200 | $0.0001 | – | 10.3 s |
More from Mistral AI
See also
Questions people ask
- Why does Mistral Nemo have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 24 Oct 2026 Mistral Nemo has 0 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Mistral Nemo cost per 1M tokens?
- As of 24 Oct 2026, Mistral Nemo costs $0.029 per 1M input tokens and $0.030 per 1M output tokens, $0.029 blended (three input tokens per output token). The list price last changed on 23 Oct 2026.
- When was Mistral Nemo released?
- Mistral AI released Mistral Nemo on 18 Jul 2024.
Data as of 24 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Mistral Nemo: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/mistral-nemo.