Model comparison
Claude Haiku 4.5 vs Pixtral Large
Claude Haiku 4.5 is the stronger model overall, scoring 39.3 to 31.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in writing & preference, where Claude Haiku 4.5 leads 58.1 to 32.9.
- Claude Haiku 4.5 is cheaper at $1 / $5 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Claude Haiku 4.5 accepts more context: 200K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Pixtral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 39.3 | 31.7 |
| Released | 2025-10-15 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 200K | 128K |
| Max output | 64K | 128K |
| Input $ / M tokens | $1 | $2 |
| Output $ / M tokens | $5 | $6 |
| Results tracked | 53 | 3 |
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Category by category
Coding Not comparable
Claude Haiku 4.5: 43.9 (#71), Pixtral Large: —
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| LMArena Coding | 1454 | — |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.5 (#50), Pixtral Large: —
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| 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 Pixtral Large leads
Claude Haiku 4.5: 15.1 (#310), Pixtral Large: 20.9 (#208)
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1420 | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| Epoch Capabilities Index | 142.42 | — |
| ForecastBench | 61.4 | — |
Math Not comparable
Claude Haiku 4.5: 43.0 (#69), Pixtral Large: —
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| Omni-MATH | 56.1% | — |
| LMArena Math | 1395 | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Not comparable
Claude Haiku 4.5: 37.6 (#146), Pixtral Large: —
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| GPQA Diamond | 71.2% | — |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
| LMArena Expert | 1443 | — |
Multimodal Pixtral Large leads
Claude Haiku 4.5: 27.0 (#111), Pixtral Large: 30.0 (#105)
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Not comparable
Claude Haiku 4.5: 50.1 (#124), Pixtral Large: —
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1376 | — |
| LMArena Chinese | 1415 | — |
| LMArena French | 1408 | — |
| LMArena German | 1377 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1346 | — |
| LMArena Russian | 1380 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Not comparable
Claude Haiku 4.5: 71.6 (#144), Pixtral Large: —
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| IFEval | 80.1% | — |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
Claude Haiku 4.5: 43.6 (#86), Pixtral Large: —
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1427 | — |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 58.1 (#119), Pixtral Large: 32.9 (#273)
| Benchmark | Claude Haiku 4.5 | Pixtral Large |
|---|---|---|
| LMArena Text | 1396 | — |
| LMArena Creative Writing | 1371 | — |
| EQ-Bench Creative Writing | — | 988 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
| LMArena Multi-Turn | 1409 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Pixtral Large?
Claude Haiku 4.5 is the stronger model overall, scoring 39.3 to 31.7 on the Noometry Index.
Which is cheaper, Claude Haiku 4.5 or Pixtral Large?
Claude Haiku 4.5 is cheaper. It lists at $1 per million input tokens and $5 per million output tokens; Pixtral Large lists at $2 and $6.
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 Pixtral Large share?
0 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Pixtral Large has 3.