Model comparison
Claude Haiku 5.5 vs GPT-5 Nano
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 33.5 on the Noometry Index.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 5 categories and GPT-5 Nano in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 29.4.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 75.1% for Claude Haiku 5.5 and 20% for GPT-5 Nano.
- GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $0.10 / $0.50 for Claude Haiku 5.5.
- Claude Haiku 5.5 accepts more context: 1M tokens versus 400K.
Side by side
| Claude Haiku 5.5 | GPT-5 Nano | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 49.5 | 33.5 |
| Released | 2026-10-07 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.10 | $0.05 |
| Output $ / M tokens | $0.50 | $0.40 |
| Results tracked | 9 | 49 |
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Category by category
Coding Claude Haiku 5.5 leads
Claude Haiku 5.5: 49.2 (#50), GPT-5 Nano: 33.6 (#254)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| SWE-bench Verified (bash only) | — | 34.8% |
| LMArena WebDev | 1587 | — |
| WeirdML | — | 38.1% |
| LMArena Coding | — | 1351 |
| ALE-Bench | — | 718.67 |
Agentic & Tool Use Not comparable
Claude Haiku 5.5: —, GPT-5 Nano: 25.8 (#106)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | — | 21.8% |
| Berkeley Function Calling Leaderboard | — | 51.5% |
Reasoning Claude Haiku 5.5 leads
Claude Haiku 5.5: 35.2 (#69), GPT-5 Nano: 16.3 (#306)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| Mystery Game Puzzles | 30% | 9% |
| ARC-AGI-2 | — | 2.6% |
| Kagi LLM Benchmark | — | 62.2% |
| NYT Connections (extended) | 65.7% | — |
| ARC-AGI-1 | — | 20.7% |
| Chess Puzzles | — | 27% |
| LMArena Hard Prompts | — | 1328 |
| DTBench | — | 62.7% |
| LMCA | — | 7.9% |
| Epoch Capabilities Index | — | 139.38 |
| ForecastBench | — | 59.1 |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), GPT-5 Nano: 29.4 (#241)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| FrontierMath (Tiers 1-3) | 75.1% | 20% |
| FrontierMath Tier 4 | 46.3% | 2.4% |
| OTIS Mock AIME 2024-2025 | 98.9% | 81.1% |
| ProofBench | — | 12% |
| Omni-MATH | — | 54.6% |
| LMArena Math | — | 1317 |
| MATH Level 5 | — | 95.2% |
| FrontierMath (Feb 2025 set) | — | 8.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Claude Haiku 5.5 leads
Claude Haiku 5.5: 50.8 (#70), GPT-5 Nano: 35.9 (#178)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | 89.6% | 69.4% |
| SimpleQA Verified | 23.8% | 11.7% |
| MMLU-Pro | — | 77.8% |
| Vectara Hallucination Rate | — | 10.5% |
| GPQA (HELM) | — | 67.9% |
| LMArena Expert | — | 1321 |
Multimodal Claude Haiku 5.5 leads
Claude Haiku 5.5: 43.7 (#21), GPT-5 Nano: 31.3 (#108)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| LMArena Vision | — | 1159 |
| VPCT | — | 37.2% |
| Furniture Assembly | 47.5% | — |
Multilingual Not comparable
Claude Haiku 5.5: —, GPT-5 Nano: 45.3 (#172)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | — | 1313 |
| LMArena Chinese | — | 1356 |
| LMArena German | — | 1327 |
| LMArena Japanese | — | 1226 |
| LMArena Korean | — | 1269 |
| LMArena Russian | — | 1296 |
| LMArena Spanish | — | 1360 |
Instruction Following Not comparable
Claude Haiku 5.5: —, GPT-5 Nano: 75.0 (#79)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| IFEval | — | 93.2% |
| LMArena Instruction Following | — | 1306 |
Long Context Not comparable
Claude Haiku 5.5: —, GPT-5 Nano: 31.3 (#281)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| Fiction.LiveBench | — | 44.4% |
| LMArena Longer Query | — | 1312 |
Writing & Preference Not comparable
Claude Haiku 5.5: —, GPT-5 Nano: 39.1 (#249)
| Benchmark | Claude Haiku 5.5 | GPT-5 Nano |
|---|---|---|
| LMArena Text | — | 1320 |
| LMArena Creative Writing | — | 1249 |
| EQ-Bench Creative Writing | — | 705 |
| WildBench | — | 80.6% |
| LMArena Multi-Turn | — | 1311 |
Frequently asked questions
Is Claude Haiku 5.5 better than GPT-5 Nano?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 33.5 on the Noometry Index.
Which is cheaper, Claude Haiku 5.5 or GPT-5 Nano?
GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; Claude Haiku 5.5 lists at $0.10 and $0.50.
Is Claude Haiku 5.5 or GPT-5 Nano better for coding?
Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 33.6 in the Noometry coding category.
Which has the bigger context window?
Claude Haiku 5.5 does, with 1M tokens against 400K.
How many benchmarks do Claude Haiku 5.5 and GPT-5 Nano share?
6 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and GPT-5 Nano has 49.