Mistral AI, open weights
Mistral Nemo
Mistral Nemo by Mistral AI ranks 337th of 354 ranked models on the Noometry Index as of October 2026, with a score of 26.4. Its strongest category is agentic & tool use, where it ranks 125th. API pricing starts at $0.15 per million input tokens and $0.15 per million output tokens, with a 128K-token context window.
Last verified
Specifications
- Noometry rank
- #337 of 354
- Index score
- 26.4
- Evidence
- Confirmed 10 results
- Provider
Mistral AI- Released
- July 1, 2024
- Weights
- Open weights
- Reasoning
- No
- Context window
- 128K
- Max output
- 128K
- Input price
- $0.15 / M
- Output price
- $0.15 / M
- Blended price
- $0.15 / M
- Output speed
- Not measured
- Value
- #47 of 219
- Knowledge cutoff
- July 2024
- Input
- text
- Hugging Face
- mistralai/Mistral-Nemo-Instruct-2407
Category scores
Each category score combines every public result we have in that category.
- Agentic & Tool Use 23.5
- Reasoning 20.7
- Math 25.5
- Knowledge 12.3
- Writing & Preference 28.5
| Category | Score | Rank | Results |
|---|---|---|---|
| Agentic & Tool Use | 23.5 | #125 | 2 |
| Reasoning | 20.7 | #232 | 1 |
| Math | 25.5 | #268 | 1 |
| Knowledge | 12.3 | #298 | 1 |
| Writing & Preference | 28.5 | #296 | 1 |
Strengths and weaknesses
Categories where Mistral Nemo places highest and lowest among the models ranked in each, with its score against that category's median.
Strongest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Reasoning | 20.7 | −2.9 | #232 of 350, top 67% |
| Agentic & Tool Use | 23.5 | −6.8 | #125 of 154, top 82% |
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Knowledge | 12.3 | −25.0 | #298 of 314, top 95% |
| Writing & Preference | 28.5 | −25.3 | #296 of 312, top 95% |
Closest competitors
The models ranked just above and below Mistral Nemo. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| Mixtral 8x22B | #333 | 27.1 | $3 | — | Compare |
| Mixtral 8x7B | #334 | 27.1 | $0.70 | — | Compare |
| Qwen Turbo | #335 | 27.1 | $0.0875 | — | Compare |
| Qwen3-1.7B | #336 | 26.6 | — | — | Compare |
| Ministral 3B | #338 | 26.2 | $0.10 | — | Compare |
| DeepSeek-R1-Distill-Qwen-1.5B | #339 | 26.1 | — | — | Compare |
| Claude 3 Haiku | #340 | 25.9 | — | 41 | Compare |
| Gemma 2 9B | #341 | 25.9 | — | — | Compare |
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Benchmark results
Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.
Agentic & Tool Use
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | #38 of 49, top 78% | fc | Berkeley Function Calling Leaderboard | |
| BALROG | 17.6% | #26 of 35, top 75% | Epoch AI |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| DTBench | 48.6% | #140 of 151, top 93% | Epoch AI | ||
| Epoch Capabilities Index | 118.68 | #173 of 213, top 82% | Epoch AI | 2024-07-18 | |
| PIQA | 83.5% | #10 of 27, top 38% | Epoch AI |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| MATH Level 5 | 10.8% | #73 of 79, top 93% | Epoch AI | 2025-01-27 | |
| GSM8K | 84.2% | #10 of 38, top 27% | Epoch AI |
Knowledge
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| GPQA Diamond | 29.9% | #170 of 186, top 92% | Epoch AI | 2025-01-27 | |
| BoolQ | 82.5% | #14 of 23, top 61% | Epoch AI |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| EQ-Bench Creative Writing | 881 | #99 of 115, top 87% | EQ-Bench |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| mistral | $0.15 | $0.15 | — | 2026-10-10 |
| openrouter | $0.029 | $0.03 | — | 2026-10-10 |
Compare Mistral Nemo
- Mistral Nemo vs Qwen3-1.7B
- Mistral Nemo vs Ministral 3B
- Mistral Nemo vs Qwen Turbo
- Mistral Nemo vs DeepSeek-R1-Distill-Qwen-1.5B
- Mistral Nemo vs Mixtral 8x7B
- Mistral Nemo vs Claude 3 Haiku
- Mistral Nemo vs GPT-6 Astra
- Mistral Nemo vs Claude Fable 5.1
- Mistral Nemo vs Gemini 3.8 Flash
- Mistral Nemo vs Kimi K3
- Mistral Nemo vs Grok 4.6
- Mistral Nemo vs Qwen3.8 Max
- Mistral Nemo vs GLM-5.3
- Mistral Nemo vs Muse Spark 1.3
Other Mistral AI models
- Mistral Large 443.1
- Mistral Medium 3.540.2
- Mistral Large 339.1
- Mistral Medium36.3
- Magistral Medium35.2
- Devstral Small 250534.3
- Mistral Small33.4
- Pixtral Large32.2
Frequently asked questions
How good is Mistral Nemo?
Mistral Nemo by Mistral AI ranks 337th of 354 ranked models on the Noometry Index as of October 2026, with a score of 26.4. Its strongest category is agentic & tool use, where it ranks 125th. API pricing starts at $0.15 per million input tokens and $0.15 per million output tokens, with a 128K-token context window.
How much does Mistral Nemo cost?
Mistral Nemo costs $0.15 per million input tokens and $0.15 per million output tokens on Mistral AI's own API.
What is Mistral Nemo's context window?
Mistral Nemo accepts up to 128K tokens of input and can write up to 128K tokens in one response.
Is Mistral Nemo open source?
Yes. Mistral Nemo's weights are downloadable from Hugging Face (mistralai/Mistral-Nemo-Instruct-2407); check the license for commercial terms.
What are Mistral Nemo's strengths and weaknesses?
Relative to other ranked models, Mistral Nemo places best in reasoning, agentic & tool use and lowest in knowledge, writing & preference.
What is Mistral Nemo best at?
Its best category is agentic & tool use, where it ranks 125th on Noometry.