Model comparison
Mistral Nemo vs Mistral Small
Mistral Small is the stronger model overall, scoring 33.4 to 26.4 on the Noometry Index. Mistral Nemo costs 1.7× less per token, which makes it the better buy when Mistral Small's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. Mistral Nemo scores higher in 2 categories and Mistral Small in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Small leads 52.5 to 28.5.
- The biggest single-benchmark swing is MATH Level 5: 10.8% for Mistral Nemo and 46.8% for Mistral Small.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- Mistral Small accepts more context: 262K tokens versus 128K.
Side by side
| Mistral Nemo | Mistral Small | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 26.4 | 33.4 |
| Released | 2024-07-01 | 2024-02-26 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 256K |
| Input $ / M tokens | $0.15 | $0.15 |
| Output $ / M tokens | $0.15 | $0.60 |
| Results tracked | 10 | 39 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Mistral Small: 34.0 (#247)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| LMArena Coding | — | 1362 |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Mistral Small leads
Mistral Nemo: 23.5 (#125), Mistral Small: 28.1 (#93)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | 37.1% |
| BALROG | 17.6% | — |
Reasoning Too close to call
Mistral Nemo: 20.7 (#232), Mistral Small: 19.8 (#250)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| DTBench | 48.6% | 70.9% |
| Kagi LLM Benchmark | — | 37.8% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| LMArena Hard Prompts | — | 1335 |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| Epoch Capabilities Index | 118.68 | — |
| LiveBench | — | 44% |
| PIQA | 83.5% | — |
Math Mistral Nemo leads
Mistral Nemo: 25.5 (#268), Mistral Small: 16.4 (#293)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| MATH Level 5 | 10.8% | 46.8% |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| LMArena Math | — | 1341 |
| GSM8K | 84.2% | — |
Knowledge Mistral Small leads
Mistral Nemo: 12.3 (#298), Mistral Small: 31.0 (#222)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| GPQA Diamond | 29.9% | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| LMArena Expert | — | 1291 |
| BoolQ | 82.5% | — |
| MMLU | — | 68.7% |
Multimodal Not comparable
Mistral Nemo: —, Mistral Small: 33.5 (#96)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
Multilingual Not comparable
Mistral Nemo: —, Mistral Small: 45.5 (#169)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| LMArena Non-English | — | 1315 |
| LMArena Chinese | — | 1340 |
| LMArena French | — | 1337 |
| LMArena German | — | 1340 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1259 |
| LMArena Russian | — | 1324 |
| LMArena Spanish | — | 1346 |
Instruction Following Not comparable
Mistral Nemo: —, Mistral Small: 66.4 (#209)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| LiveBench Instruction Following | — | 63.7% |
| LMArena Instruction Following | — | 1310 |
Long Context Not comparable
Mistral Nemo: —, Mistral Small: 40.4 (#156)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| LMArena Longer Query | — | 1327 |
Writing & Preference Mistral Small leads
Mistral Nemo: 28.5 (#296), Mistral Small: 52.5 (#171)
| Benchmark | Mistral Nemo | Mistral Small |
|---|---|---|
| LMArena Text | — | 1338 |
| LMArena Creative Writing | — | 1305 |
| EQ-Bench Creative Writing | 881 | — |
| LMArena Multi-Turn | — | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Mistral Nemo better than Mistral Small?
Mistral Small is the stronger model overall, scoring 33.4 to 26.4 on the Noometry Index. Mistral Nemo costs 1.7× less per token, which makes it the better buy when Mistral Small's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or Mistral Small?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Mistral Small lists at $0.15 and $0.60.
Which has the bigger context window?
Mistral Small does, with 262K tokens against 128K.
How many benchmarks do Mistral Nemo and Mistral Small share?
4 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Mistral Small has 39.