Claude Haiku 4.5 vs GPT-5 Nano
Updated October 21, 2026. 61 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Claude Haiku 4.5 for coding: it scores 49.8 on the Vibe Coding Index against 34.8 for GPT-5 Nano.
Pick GPT-5 Nano when output tokens cost 12.5x less, or when a solved task costs $0.109 against $0.56.
- Shared results
- 61
- Claude Haiku 4.5 only
- 33
- GPT-5 Nano only
- 24
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
Claude Haiku 4.5
Claude Haiku 4.5 scores 49.8 against 34.8.
3 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Haiku 4.5
Claude Haiku 4.5 leads, 16.9 against 13.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Haiku 4.5 has a AA Agentic Index result, 8.0.
Directional only
Reasoning
GPQA Diamond
Claude Haiku 4.5
Claude Haiku 4.5 leads, 72.2% against 63.4%.
Same board, both measured
Math
AIME
Claude Haiku 4.5
Claude Haiku 4.5 leads, 82.7% against 81.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Haiku 4.5
Claude Haiku 4.5 leads, 78.7% against 76.1%.
Same board, both measured
Web design
Design Arena: websites
Claude Haiku 4.5
Claude Haiku 4.5 leads, 1122 against 1101.
Same board, both measured
Long documents
Listed context window
GPT-5 Nano
GPT-5 Nano takes 400K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5 Nano
Claude Haiku 4.5 $0.0035, GPT-5 Nano $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5 Nano
Claude Haiku 4.5 $0.56, GPT-5 Nano $0.109.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Haiku 4.5 49.8 from 3 benchmarks, GPT-5 Nano 34.8 from 1 benchmark.
- Widest category
- Coding, 19.1 points apart on average over 6 shared benchmarks.
- Widest single gap
- SWE-bench Verified: Claude Haiku 4.5 66.6% against GPT-5 Nano 34.8%, 31.8 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against GPT-5 Nano $0.40 per million output tokens, 12.5x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, GPT-5 Nano 400K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Claude Haiku 4.5 | Bars | GPT-5 Nano | Ties |
|---|---|---|---|---|
| Coding | 5 | 1 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 7 | 2 | ||
| Math | 5 | 1 | ||
| Knowledge | 11 | 1 | ||
| Web design | 6 | 0 | ||
| General | 20 | 0 | ||
| All shared boards | 56 | 5 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index51
| Benchmark | Claude Haiku 4.5 | GPT-5 Nano | Leader |
|---|---|---|---|
| SWE-bench Verified | 66.6% | 34.8% | Claude Haiku 4.5 |
| SWE-bench Multilingual | 64.7% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench coding | 48.1% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev | 1330 | Not measured | Only Claude Haiku 4.5 measured |
| AA Coding Index | 43.9 | Not measured | Only Claude Haiku 4.5 measured |
| LiveCodeBench (Vals AI) | 41.2% | 70.2% | GPT-5 Nano |
| SWE-bench Verified (Vals AI) | 66.6% | Not measured | Only Claude Haiku 4.5 measured |
| Vibe Code Bench (Vals AI) | 11.4% | Not measured | Only Claude Haiku 4.5 measured |
| Code migration (Vals AI) | 7.5% | Not measured | Only Claude Haiku 4.5 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Haiku 4.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 43.8% | Not measured | Only Claude Haiku 4.5 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 78.9% | Only GPT-5 Nano measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 17.4% | Only GPT-5 Nano measured |
| Terminal-Bench | 35.5% | 21.8% | Claude Haiku 4.5 |
| WeirdML | 45.4% | 38.1% | Claude Haiku 4.5 |
| LMArena Text: coding | 1454 | 1351 | Claude Haiku 4.5 |
| LMArena Text: software and IT | 1439 | 1345 | Claude Haiku 4.5 |
| LMArena WebDev: React | 1326 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev: HTML | 1318 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Haiku 4.5 | GPT-5 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 13.0 | Claude Haiku 4.5 |
| Epoch Capabilities Index | 142.2 | 139.2 | Claude Haiku 4.5 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Claude Haiku 4.5 | GPT-5 Nano | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench research | 42.2% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench browser | 40.0% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench long agentic | 11.1% | Not measured | Only Claude Haiku 4.5 measured |
| Finance Agent (Vals AI) | 31.0% | Not measured | Only Claude Haiku 4.5 measured |
| Tax Agent Bench (Vals AI) | 5.9% | Not measured | Only Claude Haiku 4.5 measured |
| Legal Research Bench (Vals AI) | 10.6% | Not measured | Only Claude Haiku 4.5 measured |
| Excel Modeling Benchmark (Vals AI) | 22.7% | Not measured | Only Claude Haiku 4.5 measured |
| τ²-Bench Telecom | Not measured | 36.5% | Only GPT-5 Nano measured |
| BALROG | 31.2% | Not measured | Only Claude Haiku 4.5 measured |
| DeepResearch Bench | 45.5% | Not measured | Only Claude Haiku 4.5 measured |
| Vending-Bench 2 | $459 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index72
| Benchmark | Claude Haiku 4.5 | GPT-5 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | 63.4% | Claude Haiku 4.5 |
| LiveBench reasoning | 61.7% | Not measured | Only Claude Haiku 4.5 measured |
| MMMU Pro (Vals AI) | 46.1% | 70.9% | GPT-5 Nano |
| GPQA Diamond (Artificial Analysis run) | Not measured | 67.6% | Only GPT-5 Nano measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 9.5% | Only GPT-5 Nano measured |
| GPQA Diamond (Epoch AI run) | 71.2% | 69.4% | Claude Haiku 4.5 |
| ARC-AGI | 47.7% | 20.7% | Claude Haiku 4.5 |
| ARC-AGI-2 | 4.0% | 2.6% | Claude Haiku 4.5 |
| Chess puzzles | 8.0% | 22.0% | GPT-5 Nano |
| Mystery game puzzles | Not measured | 9.0% | Only GPT-5 Nano measured |
| VPCT | Not measured | 37.2% | Only GPT-5 Nano measured |
| LMArena Text: hard prompts | 1421 | 1328 | Claude Haiku 4.5 |
| LMArena Text: expert | 1443 | 1321 | Claude Haiku 4.5 |
| LMArena Text: hard prompts in English | 1435 | 1338 | Claude Haiku 4.5 |
| LMArena Vision: diagrams | Not measured | 1141 | Only GPT-5 Nano measured |
| LMArena Vision: homework | Not measured | 1157 | Only GPT-5 Nano measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Claude Haiku 4.5 | GPT-5 Nano | Leader |
|---|---|---|---|
| AIME | 82.7% | 81.2% | Claude Haiku 4.5 |
| MATH 500 (Vals AI) | Not measured | 93.8% | Only GPT-5 Nano measured |
| MGSM (Vals AI) | 92.2% | 89.3% | Claude Haiku 4.5 |
| AA Math Index | Not measured | 83.7 | Only GPT-5 Nano measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 83.7% | Only GPT-5 Nano measured |
| OTIS Mock AIME | 66.7% | 81.1% | GPT-5 Nano |
| FrontierMath, tiers 1 to 3 | Not measured | 20.0% | Only GPT-5 Nano measured |
| FrontierMath, tier 4 | Not measured | 2.4% | Only GPT-5 Nano measured |
| ProofBench | Not measured | 12.0% | Only GPT-5 Nano measured |
| MATH level 5 | 96.4% | 95.2% | Claude Haiku 4.5 |
| LMArena Text: math | 1398 | 1317 | Claude Haiku 4.5 |
| LMArena Text: mathematical work | 1430 | 1326 | Claude Haiku 4.5 |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index111
| Benchmark | Claude Haiku 4.5 | GPT-5 Nano | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | 76.1% | Claude Haiku 4.5 |
| LegalBench (Vals AI) | 81.2% | 50.1% | Claude Haiku 4.5 |
| CaseLaw (Vals AI) | 56.5% | 52.6% | Claude Haiku 4.5 |
| CorpFin (Vals AI) | 60.6% | Not measured | Only Claude Haiku 4.5 measured |
| TaxEval (Vals AI) | 67.5% | 67.4% | Claude Haiku 4.5 |
| MortgageTax (Vals AI) | 62.2% | 53.6% | Claude Haiku 4.5 |
| MedQA (Vals AI) | 79.6% | 93.3% | GPT-5 Nano |
| MedCode (Vals AI) | 32.7% | 30.4% | Claude Haiku 4.5 |
| MMLU Pro (Artificial Analysis run) | Not measured | 78.0% | Only GPT-5 Nano measured |
| SimpleQA Verified | 13.2% | 11.7% | Claude Haiku 4.5 |
| LMArena Text: science | 1406 | 1318 | Claude Haiku 4.5 |
| LMArena Text: medicine and healthcare | 1394 | 1335 | Claude Haiku 4.5 |
| LMArena Text: legal and government | 1400 | 1298 | Claude Haiku 4.5 |
| LMArena Text: business and finance | 1400 | 1311 | Claude Haiku 4.5 |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Haiku 4.5 | GPT-5 Nano | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1101 | Claude Haiku 4.5 |
| Design Arena: UI components | 1100 | 1066 | Claude Haiku 4.5 |
| Design Arena: game dev | 1097 | 1045 | Claude Haiku 4.5 |
| Design Arena: data viz | 1124 | 1056 | Claude Haiku 4.5 |
| Design Arena: 3D | 1072 | 966 | Claude Haiku 4.5 |
| Design Arena: all code categories | 1115 | 1084 | Claude Haiku 4.5 |
| Design Arena: SVG | 1025 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: ASCII art | 1139 | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench design | 59.9% | Not measured | Only Claude Haiku 4.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
| Benchmark | Claude Haiku 4.5 | GPT-5 Nano | Leader |
|---|---|---|---|
| LiveBench data analysis | 59.3% | Not measured | Only Claude Haiku 4.5 measured |
| Public Benefits Bench (Vals AI) | 54.3% | Not measured | Only Claude Haiku 4.5 measured |
| SAGE (Vals AI) | 31.8% | 30.4% | Claude Haiku 4.5 |
| MedScribe (Vals AI) | 85.2% | 72.9% | Claude Haiku 4.5 |
| Vals Multimodal Index | 42.9% | Not measured | Only Claude Haiku 4.5 measured |
| IFBench | Not measured | 67.6% | Only GPT-5 Nano measured |
| Long context reasoning (AA-LCR) | Not measured | 45.0% | Only GPT-5 Nano measured |
| DTBench | 73.6% | 62.7% | Claude Haiku 4.5 |
| LMCA | 30.9% | 7.9% | Claude Haiku 4.5 |
| Fiction.LiveBench | Not measured | 44.4% | Only GPT-5 Nano measured |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1320 | Claude Haiku 4.5 |
| LMArena Text: instruction following | 1414 | 1306 | Claude Haiku 4.5 |
| LMArena Text: creative writing | 1371 | 1249 | Claude Haiku 4.5 |
| LMArena Vision | Not measured | 1159 | Only GPT-5 Nano measured |
| LMArena Text: English | 1414 | 1321 | Claude Haiku 4.5 |
| LMArena Text: non-English | 1377 | 1313 | Claude Haiku 4.5 |
| LMArena Text: Chinese | 1418 | 1356 | Claude Haiku 4.5 |
| LMArena Text: German | 1374 | 1327 | Claude Haiku 4.5 |
| LMArena Text: Japanese | 1338 | 1227 | Claude Haiku 4.5 |
| LMArena Text: Korean | 1346 | 1269 | Claude Haiku 4.5 |
| LMArena Text: French | 1411 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: Spanish | 1421 | 1360 | Claude Haiku 4.5 |
| LMArena Text: Russian | 1381 | 1296 | Claude Haiku 4.5 |
| LMArena Text: Polish | 1343 | 1314 | Claude Haiku 4.5 |
| LMArena Text: multi-turn | 1409 | 1311 | Claude Haiku 4.5 |
| LMArena Text: longer queries | 1427 | 1312 | Claude Haiku 4.5 |
| LMArena Text: writing and language | 1386 | 1283 | Claude Haiku 4.5 |
| LMArena Text: entertainment and media | 1369 | 1268 | Claude Haiku 4.5 |
| LMArena Vision: English | Not measured | 1170 | Only GPT-5 Nano measured |
| LMArena Vision: Chinese | Not measured | 1176 | Only GPT-5 Nano measured |
| LMArena Vision: reading text | Not measured | 1152 | Only GPT-5 Nano measured |
| LMArena Vision: humor | Not measured | 1110 | Only GPT-5 Nano measured |
| LMArena Document | 1420 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | GPT-5 Nano | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GPT-5 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5 Nano costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Anthropic Claude Haiku 4.5 | OpenAI GPT-5 Nano |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | October 15, 2025 | August 7, 2025 |
| Context window | 200K | 400K |
| Input $/Mtok | $1.00 | $0.05 |
| Output $/Mtok | $5.00 | $0.40 |
| Coding index | 49.8 | 34.8 |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $0.56 | $0.109 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than GPT-5 Nano for coding?
Pick Claude Haiku 4.5 for coding: it scores 49.8 on the Vibe Coding Index against 34.8 for GPT-5 Nano. Pick GPT-5 Nano when output tokens cost 12.5x less, or when a solved task costs $0.109 against $0.56.
Which is cheaper, Claude Haiku 4.5 or GPT-5 Nano?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; GPT-5 Nano costs $0.05 and $0.40. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and GPT-5 Nano $0.109.
Which has the bigger context window, Claude Haiku 4.5 or GPT-5 Nano?
GPT-5 Nano, with 400K tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs GPT-5 Nano comparison based on?
61 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 4.5's coding index rests on 3 independent benchmarks and GPT-5 Nano's on 1. Where only one model has a result, the page says so instead of naming a winner.