Model comparison
Claude Haiku 4.5 vs Mistral Medium
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 36.3 on the Noometry Index.
Last verified . 29 shared benchmarks.
Mistral AISummary
- They share 29 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 5 categories and Mistral Medium in 5 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 4.5 leads 44.9 to 28.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 66.7% for Claude Haiku 4.5 and 32.2% for Mistral Medium.
- Claude Haiku 4.5 is cheaper at $1 / $5 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 200K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Mistral Medium | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.5 | 36.3 |
| Released | 2025-10-15 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 64K | 262K |
| Input $ / M tokens | $1 | $1.50 |
| Output $ / M tokens | $5 | $7.50 |
| Results tracked | 53 | 36 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Mistral Medium: 34.2 (#243)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| SciCode | 43.3% | 40.2% |
| WeirdML | 45.4% | 43.7% |
| LMArena Coding | 1453 | 1434 |
| ALE-Bench | 653.48 | 763.98 |
| FrontierCode | — | 8% |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
Agentic & Tool Use Claude Haiku 4.5 leads
Claude Haiku 4.5: 33.6 (#52), Mistral Medium: 28.3 (#90)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | 68.7% | 37.7% |
| Terminal-Bench | 35.5% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Mistral Medium leads
Claude Haiku 4.5: 15.1 (#320), Mistral Medium: 24.0 (#167)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| CritPt | 0% | 0% |
| LMArena Hard Prompts | 1420 | 1426 |
| DTBench | 73.6% | 75.5% |
| LMCA | 30.9% | 26.1% |
| ARC-AGI-2 | 4% | — |
| Kagi LLM Benchmark | — | 50% |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| Chess Puzzles | 8% | — |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 142.41 | — |
| ForecastBench | 61.4 | — |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), Mistral Medium: 28.1 (#245)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 32.2% |
| LMArena Math | 1396 | 1408 |
| MATH Level 5 | 96.4% | 81.6% |
| FrontierMath (Feb 2025 set) | 5.9% | 0.3% |
| ProofBench | — | 9% |
| Omni-MATH | 56.1% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Claude Haiku 4.5 leads
Claude Haiku 4.5: 37.7 (#153), Mistral Medium: 25.0 (#265)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| GPQA Diamond | 71.2% | 59.5% |
| Vectara Hallucination Rate | 9.8% | 22.7% |
| LMArena Expert | 1442 | 1408 |
| Humanity's Last Exam | — | 4.5% |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| GPQA (HELM) | 60.5% | — |
Multimodal Mistral Medium leads
Claude Haiku 4.5: 26.8 (#118), Mistral Medium: 35.3 (#88)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Mistral Medium leads
Claude Haiku 4.5: 49.9 (#129), Mistral Medium: 52.1 (#91)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1377 | 1408 |
| LMArena Chinese | 1417 | 1447 |
| LMArena French | 1408 | 1459 |
| LMArena German | 1375 | 1432 |
| LMArena Japanese | 1339 | 1378 |
| LMArena Korean | 1347 | 1380 |
| LMArena Russian | 1381 | 1411 |
| LMArena Spanish | 1420 | 1433 |
Instruction Following Mistral Medium leads
Claude Haiku 4.5: 71.4 (#149), Mistral Medium: 73.7 (#116)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1414 | 1398 |
| IFEval | 80.1% | — |
Long Context Too close to call
Claude Haiku 4.5: 43.6 (#92), Mistral Medium: 42.9 (#114)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1427 | 1406 |
Writing & Preference Mistral Medium leads
Claude Haiku 4.5: 57.9 (#123), Mistral Medium: 60.0 (#103)
| Benchmark | Claude Haiku 4.5 | Mistral Medium |
|---|---|---|
| LMArena Text | 1396 | 1424 |
| LMArena Creative Writing | 1372 | 1391 |
| LMArena Multi-Turn | 1409 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Mistral Medium?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 36.3 on the Noometry Index.
Which is cheaper, Claude Haiku 4.5 or Mistral Medium?
Claude Haiku 4.5 is cheaper. It lists at $1 per million input tokens and $5 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Claude Haiku 4.5 or Mistral Medium better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 200K.
How many benchmarks do Claude Haiku 4.5 and Mistral Medium share?
29 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Mistral Medium has 36.