Model comparison
Claude Haiku 4.5 vs GPT-5 Pro
GPT-5 Pro is the stronger model overall, scoring 46.4 to 39.5 on the Noometry Index. Claude Haiku 4.5 costs 21× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 5 shared benchmarks.
Summary
- They share 5 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 1 category and GPT-5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 38.9 to 15.1.
- The biggest single-benchmark swing is ARC-AGI-1: 47.7% for Claude Haiku 4.5 and 70.2% for GPT-5 Pro.
- Claude Haiku 4.5 is cheaper at $1 / $5 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 200K.
Side by side
| Claude Haiku 4.5 | GPT-5 Pro | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 39.5 | 46.4 |
| Released | 2025-10-15 | 2025-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 400K |
| Max output | 64K | 272K |
| Input $ / M tokens | $1 | $15 |
| Output $ / M tokens | $5 | $120 |
| Results tracked | 53 | 12 |
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Category by category
Coding Too close to call
Claude Haiku 4.5: 44.0 (#78), GPT-5 Pro: 44.0 (#80)
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| WeirdML | 45.4% | 60.4% |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| LMArena Coding | 1453 | — |
| ALE-Bench | 653.48 | — |
| AlgoTune | — | 1.31 |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.6 (#52), GPT-5 Pro: —
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| 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 GPT-5 Pro leads
Claude Haiku 4.5: 15.1 (#320), GPT-5 Pro: 38.9 (#62)
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| ARC-AGI-2 | 4% | 18.3% |
| ARC-AGI-1 | 47.7% | 70.2% |
| Epoch Capabilities Index | 142.41 | 150.28 |
| SimpleBench | — | 61.6% |
| Kagi LLM Benchmark | — | 76.8% |
| NYT Connections (extended) | 14.3% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| EnigmaEval | — | 18.8% |
| LMArena Hard Prompts | 1420 | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| ForecastBench | 61.4 | — |
Math GPT-5 Pro leads
Claude Haiku 4.5: 44.9 (#78), GPT-5 Pro: 48.5 (#63)
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| FrontierMath Tier 4 (v1) | 2.1% | 14.6% |
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| Omni-MATH | 56.1% | — |
| LMArena Math | 1396 | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
Knowledge GPT-5 Pro leads
Claude Haiku 4.5: 37.7 (#153), GPT-5 Pro: 56.7 (#42)
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| GPQA Diamond | 71.2% | — |
| Humanity's Last Exam | — | 31.6% |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
| LMArena Expert | 1442 | — |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), GPT-5 Pro: —
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Not comparable
Claude Haiku 4.5: 49.9 (#129), GPT-5 Pro: —
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| LMArena Non-English | 1377 | — |
| LMArena Chinese | 1417 | — |
| LMArena French | 1408 | — |
| LMArena German | 1375 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
| LMArena Russian | 1381 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Not comparable
Claude Haiku 4.5: 71.4 (#149), GPT-5 Pro: —
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| IFEval | 80.1% | — |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
Claude Haiku 4.5: 43.6 (#92), GPT-5 Pro: —
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| LMArena Longer Query | 1427 | — |
Writing & Preference Not comparable
Claude Haiku 4.5: 57.9 (#123), GPT-5 Pro: —
| Benchmark | Claude Haiku 4.5 | GPT-5 Pro |
|---|---|---|
| LMArena Text | 1396 | — |
| LMArena Creative Writing | 1372 | — |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
| LMArena Multi-Turn | 1409 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than GPT-5 Pro?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 39.5 on the Noometry Index. Claude Haiku 4.5 costs 21× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, Claude Haiku 4.5 or GPT-5 Pro?
Claude Haiku 4.5 is cheaper. It lists at $1 per million input tokens and $5 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is Claude Haiku 4.5 or GPT-5 Pro better for coding?
They score almost the same on coding (44.0 vs 44.0); test both on your own repository before choosing.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 200K.
How many benchmarks do Claude Haiku 4.5 and GPT-5 Pro share?
5 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and GPT-5 Pro has 12.