Model comparison
Claude Haiku 4.5 vs Mistral Nemo
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 26.4 on the Noometry Index. Mistral Nemo costs 13× less per token, which makes it the better buy when Claude Haiku 4.5's lead doesn't matter for your workload.
Last verified . 6 shared benchmarks.
Mistral AISummary
- They share 6 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 4 categories and Mistral Nemo in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Haiku 4.5 leads 57.9 to 28.5.
- The biggest single-benchmark swing is MATH Level 5: 96.4% for Claude Haiku 4.5 and 10.8% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $1 / $5 for Claude Haiku 4.5.
- Claude Haiku 4.5 accepts more context: 200K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Mistral Nemo | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.5 | 26.4 |
| Released | 2025-10-15 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 64K | 128K |
| Input $ / M tokens | $1 | $0.15 |
| Output $ / M tokens | $5 | $0.15 |
| Results tracked | 53 | 10 |
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Category by category
Coding Not comparable
Claude Haiku 4.5: 44.0 (#78), Mistral Nemo: —
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| LMArena Coding | 1453 | — |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Claude Haiku 4.5 leads
Claude Haiku 4.5: 33.6 (#52), Mistral Nemo: 23.5 (#125)
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 68.7% | 27.6% |
| BALROG | 31.2% | 17.6% |
| Terminal-Bench | 35.5% | — |
| DeepResearch Bench | 45.5% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Mistral Nemo leads
Claude Haiku 4.5: 15.1 (#320), Mistral Nemo: 20.7 (#232)
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| DTBench | 73.6% | 48.6% |
| Epoch Capabilities Index | 142.41 | 118.68 |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| LMArena Hard Prompts | 1420 | — |
| LMCA | 30.9% | — |
| ForecastBench | 61.4 | — |
| PIQA | — | 83.5% |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), Mistral Nemo: 25.5 (#268)
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| MATH Level 5 | 96.4% | 10.8% |
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| Omni-MATH | 56.1% | — |
| LMArena Math | 1396 | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
| GSM8K | — | 84.2% |
Knowledge Claude Haiku 4.5 leads
Claude Haiku 4.5: 37.7 (#153), Mistral Nemo: 12.3 (#298)
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 71.2% | 29.9% |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
| LMArena Expert | 1442 | — |
| BoolQ | — | 82.5% |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Mistral Nemo: —
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Not comparable
Claude Haiku 4.5: 49.9 (#129), Mistral Nemo: —
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| LMArena Non-English | 1377 | — |
| LMArena Chinese | 1417 | — |
| LMArena French | 1408 | — |
| LMArena German | 1375 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
| LMArena Russian | 1381 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Not comparable
Claude Haiku 4.5: 71.4 (#149), Mistral Nemo: —
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| IFEval | 80.1% | — |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
Claude Haiku 4.5: 43.6 (#92), Mistral Nemo: —
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1427 | — |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Mistral Nemo: 28.5 (#296)
| Benchmark | Claude Haiku 4.5 | Mistral Nemo |
|---|---|---|
| LMArena Text | 1396 | — |
| LMArena Creative Writing | 1372 | — |
| EQ-Bench Creative Writing | — | 881 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
| LMArena Multi-Turn | 1409 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Mistral Nemo?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 26.4 on the Noometry Index. Mistral Nemo costs 13× less per token, which makes it the better buy when Claude Haiku 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Haiku 4.5 or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Claude Haiku 4.5 lists at $1 and $5.
Which has the bigger context window?
Claude Haiku 4.5 does, with 200K tokens against 128K.
How many benchmarks do Claude Haiku 4.5 and Mistral Nemo share?
6 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Mistral Nemo has 10.