Model comparison
Claude Haiku 4.5 vs Mistral Small
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 33.4 on the Noometry Index. Mistral Small costs 7.6× less per token, which makes it the better buy when Claude Haiku 4.5's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Mistral AISummary
- They share 27 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 8 categories and Mistral Small in 2 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 4.5 leads 44.9 to 16.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 66.7% for Claude Haiku 4.5 and 5.8% for Mistral Small.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $1 / $5 for Claude Haiku 4.5.
- Mistral Small accepts more context: 262K tokens versus 200K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Mistral Small | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.5 | 33.4 |
| Released | 2025-10-15 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 64K | 256K |
| Input $ / M tokens | $1 | $0.15 |
| Output $ / M tokens | $5 | $0.60 |
| Results tracked | 53 | 39 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Mistral Small: 34.0 (#247)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| SciCode | 43.3% | 26.5% |
| LMArena Coding | 1453 | 1362 |
| ALE-Bench | 653.48 | 497.62 |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| WeirdML | 45.4% | — |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
Agentic & Tool Use Claude Haiku 4.5 leads
Claude Haiku 4.5: 33.6 (#52), Mistral Small: 28.1 (#93)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | 68.7% | 37.1% |
| Terminal-Bench | 35.5% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Mistral Small leads
Claude Haiku 4.5: 15.1 (#320), Mistral Small: 19.8 (#250)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1420 | 1335 |
| DTBench | 73.6% | 70.9% |
| LMCA | 30.9% | 20.6% |
| ARC-AGI-2 | 4% | — |
| Kagi LLM Benchmark | — | 37.8% |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| Chess Puzzles | 8% | — |
| LiveBench Reasoning | — | 44.8% |
| LiveBench Data Analysis | — | 53.7% |
| Epoch Capabilities Index | 142.41 | — |
| ForecastBench | 61.4 | — |
| LiveBench | — | 44% |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), Mistral Small: 16.4 (#293)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 5.8% |
| LMArena Math | 1396 | 1341 |
| MATH Level 5 | 96.4% | 46.8% |
| Omni-MATH | 56.1% | — |
| LiveBench Math | — | 39.9% |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Claude Haiku 4.5 leads
Claude Haiku 4.5: 37.7 (#153), Mistral Small: 31.0 (#222)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| GPQA Diamond | 71.2% | 47.5% |
| Vectara Hallucination Rate | 9.8% | 5.1% |
| LMArena Expert | 1442 | 1291 |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| GPQA (HELM) | 60.5% | — |
| MMLU | — | 68.7% |
Multimodal Mistral Small leads
Claude Haiku 4.5: 26.8 (#118), Mistral Small: 33.5 (#96)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Mistral Small: 45.5 (#169)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| LMArena Non-English | 1377 | 1315 |
| LMArena Chinese | 1417 | 1340 |
| LMArena French | 1408 | 1337 |
| LMArena German | 1375 | 1340 |
| LMArena Japanese | 1339 | 1275 |
| LMArena Korean | 1347 | 1259 |
| LMArena Russian | 1381 | 1324 |
| LMArena Spanish | 1420 | 1346 |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Mistral Small: 66.4 (#209)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1414 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
| IFEval | 80.1% | — |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Mistral Small: 40.4 (#156)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1427 | 1327 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Mistral Small: 52.5 (#171)
| Benchmark | Claude Haiku 4.5 | Mistral Small |
|---|---|---|
| LMArena Text | 1396 | 1338 |
| LMArena Creative Writing | 1372 | 1305 |
| LMArena Multi-Turn | 1409 | 1344 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Claude Haiku 4.5 better than Mistral Small?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 33.4 on the Noometry Index. Mistral Small costs 7.6× 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 Small?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Haiku 4.5 lists at $1 and $5.
Is Claude Haiku 4.5 or Mistral Small better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 34.0 in the Noometry coding category.
Which has the bigger context window?
Mistral Small does, with 262K tokens against 200K.
How many benchmarks do Claude Haiku 4.5 and Mistral Small share?
27 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Mistral Small has 39.