Model comparison
Claude Haiku 4.5 vs GPT-4.5
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 37.2 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 7 categories and GPT-4.5 in 3 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 4.5 leads 44.9 to 32.6.
- The biggest single-benchmark swing is ARC-AGI-1: 47.7% for Claude Haiku 4.5 and 10.3% for GPT-4.5.
Side by side
| Claude Haiku 4.5 | GPT-4.5 | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 39.5 | 37.2 |
| Released | 2025-10-15 | 2025-02-27 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 42 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), GPT-4.5: 42.2 (#109)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| WeirdML | 45.4% | 39.4% |
| LMArena Coding | 1453 | 1396 |
| SWE-bench Verified (bash only) | 66.6% | — |
| Aider Polyglot | — | 44.9% |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| LiveBench Coding | — | 75.2% |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Claude Haiku 4.5 leads
Claude Haiku 4.5: 33.6 (#52), GPT-4.5: 27.9 (#97)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| Cybench | — | 17.5% |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Claude Haiku 4.5 leads
Claude Haiku 4.5: 15.1 (#320), GPT-4.5: 13.9 (#330)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| ARC-AGI-2 | 4% | 0.8% |
| ARC-AGI-1 | 47.7% | 10.3% |
| LMArena Hard Prompts | 1420 | 1403 |
| Epoch Capabilities Index | 142.41 | 136.74 |
| ForecastBench | 61.4 | 61.7 |
| SimpleBench | — | 34.5% |
| NYT Connections (extended) | 14.3% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| DTBench | 73.6% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 30.9% | — |
| LiveBench | — | 69% |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), GPT-4.5: 32.6 (#211)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 37.8% |
| LMArena Math | 1396 | 1412 |
| MATH Level 5 | 96.4% | 78.6% |
| Omni-MATH | 56.1% | — |
| LiveBench Math | — | 69.3% |
| 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), GPT-4.5: 32.5 (#211)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 71.2% | 68.7% |
| LMArena Expert | 1442 | 1394 |
| Humanity's Last Exam | — | 5.4% |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Confabulations | — | 13.6% |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
Multimodal GPT-4.5 leads
Claude Haiku 4.5: 26.8 (#118), GPT-4.5: 37.6 (#71)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual GPT-4.5 leads
Claude Haiku 4.5: 49.9 (#129), GPT-4.5: 52.5 (#83)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1377 | 1413 |
| LMArena Chinese | 1417 | 1421 |
| LMArena French | 1408 | 1418 |
| LMArena German | 1375 | 1457 |
| LMArena Japanese | 1339 | 1416 |
| LMArena Korean | 1347 | 1392 |
| LMArena Russian | 1381 | 1419 |
| LMArena Spanish | 1420 | — |
Instruction Following GPT-4.5 leads
Claude Haiku 4.5: 71.4 (#149), GPT-4.5: 72.6 (#134)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1414 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
| IFEval | 80.1% | — |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), GPT-4.5: 40.4 (#155)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1427 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), GPT-4.5: 56.9 (#134)
| Benchmark | Claude Haiku 4.5 | GPT-4.5 |
|---|---|---|
| LMArena Text | 1396 | 1417 |
| LMArena Creative Writing | 1372 | 1394 |
| LMArena Multi-Turn | 1409 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| EQ-Bench Creative Writing | — | 1258 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is Claude Haiku 4.5 better than GPT-4.5?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 37.2 on the Noometry Index.
Is Claude Haiku 4.5 or GPT-4.5 better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 42.2 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and GPT-4.5 share?
24 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and GPT-4.5 has 42.