Model comparison
Claude Haiku 4.5 vs Mistral Small 3.1
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 5.0× less per token, which makes it the better buy when Claude Haiku 4.5's lead doesn't matter for your workload.
Last verified . 26 shared benchmarks.
Mistral AISummary
- They share 26 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 7 categories and Mistral Small 3.1 in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 4.5 leads 44.9 to 14.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 66.7% for Claude Haiku 4.5 and 3.9% for Mistral Small 3.1.
- Mistral Small 3.1 is cheaper at $0.35 / $0.56 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 Small 3.1 has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Mistral Small 3.1 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.5 | 31.7 |
| Released | 2025-10-15 | 2025-03-17 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 64K | 102K |
| Input $ / M tokens | $1 | $0.35 |
| Output $ / M tokens | $5 | $0.56 |
| Results tracked | 53 | 28 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Mistral Small 3.1: 38.3 (#179)
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Coding | 1453 | 1309 |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.6 (#52), Mistral Small 3.1: —
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Mistral Small 3.1 leads
Claude Haiku 4.5: 15.1 (#320), Mistral Small 3.1: 19.7 (#254)
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| Chess Puzzles | 8% | 1% |
| LMArena Hard Prompts | 1420 | 1278 |
| Epoch Capabilities Index | 142.41 | 127.48 |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| ForecastBench | 61.4 | — |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), Mistral Small 3.1: 14.7 (#301)
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 3.9% |
| Omni-MATH | 56.1% | 24.8% |
| LMArena Math | 1396 | 1262 |
| MATH Level 5 | 96.4% | — |
| 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 3.1: 22.6 (#271)
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| GPQA Diamond | 71.2% | 41.9% |
| MMLU-Pro | 77.7% | 61% |
| GPQA (HELM) | 60.5% | 39.2% |
| LMArena Expert | 1442 | 1257 |
| SimpleQA Verified | 13.2% | — |
| Vectara Hallucination Rate | 9.8% | — |
Multimodal Mistral Small 3.1 leads
Claude Haiku 4.5: 26.8 (#118), Mistral Small 3.1: 33.2 (#99)
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Vision | — | 1136 |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Mistral Small 3.1: 41.2 (#209)
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Non-English | 1377 | 1255 |
| LMArena Chinese | 1417 | 1253 |
| LMArena French | 1408 | 1273 |
| LMArena German | 1375 | 1266 |
| LMArena Japanese | 1339 | 1208 |
| LMArena Korean | 1347 | 1206 |
| LMArena Russian | 1381 | 1263 |
| LMArena Spanish | 1420 | 1283 |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Mistral Small 3.1: 63.6 (#230)
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| IFEval | 80.1% | 75% |
| LMArena Instruction Following | 1414 | 1264 |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Mistral Small 3.1: 39.5 (#178)
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Longer Query | 1427 | 1299 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Mistral Small 3.1: 37.0 (#259)
| Benchmark | Claude Haiku 4.5 | Mistral Small 3.1 |
|---|---|---|
| LMArena Text | 1396 | 1277 |
| LMArena Creative Writing | 1372 | 1253 |
| WildBench | 83.9% | 78.8% |
| LMArena Multi-Turn | 1409 | 1270 |
| EQ-Bench Creative Writing | — | 761 |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Mistral Small 3.1?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 31.7 on the Noometry Index. Mistral Small 3.1 costs 5.0× 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 3.1?
Mistral Small 3.1 is cheaper. It lists at $0.35 per million input tokens and $0.56 per million output tokens; Claude Haiku 4.5 lists at $1 and $5.
Is Claude Haiku 4.5 or Mistral Small 3.1 better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 38.3 in the Noometry coding category.
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 Small 3.1 share?
26 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Mistral Small 3.1 has 28.