Claude Haiku 4.5 vs GPT-5
Updated October 21, 2026. 72 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-5 for coding: it scores 72.2 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5.
Pick Claude Haiku 4.5 when output tokens cost 2.0x less, or when what matters is AA Coding Index or LMArena Text: coding, where it leads.
- Shared results
- 72
- Claude Haiku 4.5 only
- 22
- GPT-5 only
- 37
- Like-for-like categories
- 8 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
GPT-5
GPT-5 scores 72.2 against 49.8.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
GPT-5
GPT-5 leads, 23.0 against 16.9.
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
GPT-5
GPT-5 leads, 85.6% against 72.2%.
Same board, both measured
Math
AIME
GPT-5
GPT-5 leads, 93.4% against 82.7%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5
GPT-5 leads, 86.5% against 78.7%.
Same board, both measured
Web design
Design Arena: websites
GPT-5
GPT-5 leads, 1185 against 1122.
Same board, both measured
Long documents
Listed context window
GPT-5
GPT-5 takes 400K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Claude Haiku 4.5
Claude Haiku 4.5 $0.0035, GPT-5 $0.0063 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5
Claude Haiku 4.5 $0.56, GPT-5 $0.39.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Haiku 4.5 49.8 from 3 benchmarks, GPT-5 72.2 from 3 benchmarks.
- Widest category
- Reasoning, 13.7 points apart on average over 9 shared benchmarks.
- Widest single gap
- LiveCodeBench (Vals AI): Claude Haiku 4.5 41.2% against GPT-5 85.9%, 44.7 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against GPT-5 $10.00 per million output tokens, 2.0x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, GPT-5 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 | Ties |
|---|---|---|---|---|
| Coding | 3 | 8 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 3 | 6 | ||
| Math | 1 | 5 | ||
| Knowledge | 1 | 12 | ||
| Web design | 1 | 7 | ||
| General | 8 | 13 | ||
| All shared boards | 17 | 55 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index38
| Benchmark | Claude Haiku 4.5 | GPT-5 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 88.0% | Only GPT-5 measured |
| SWE-bench Verified | 66.6% | 74.4% | GPT-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 | 1418 | GPT-5 |
| AA Coding Index | 43.9 | 37.8 | Claude Haiku 4.5 |
| LiveCodeBench (Vals AI) | 41.2% | 85.9% | GPT-5 |
| SWE-bench Verified (Vals AI) | 66.6% | 69.0% | GPT-5 |
| Vibe Code Bench (Vals AI) | 11.4% | 20.1% | GPT-5 |
| 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 | 84.6% | Only GPT-5 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 37.9% | Only GPT-5 measured |
| Terminal-Bench | 35.5% | 49.6% | GPT-5 |
| GSO-Bench | Not measured | 6.9% | Only GPT-5 measured |
| WeirdML | 45.4% | 60.7% | GPT-5 |
| ALE-Bench | Not measured | 807.6 | Only GPT-5 measured |
| LMArena Text: coding | 1454 | 1436 | Claude Haiku 4.5 |
| LMArena Text: software and IT | 1439 | 1420 | Claude Haiku 4.5 |
| LMArena WebDev: React | 1326 | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev: HTML | 1318 | 1427 | GPT-5 |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Haiku 4.5 | GPT-5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 23.0 | GPT-5 |
| Epoch Capabilities Index | 142.2 | 150.0 | GPT-5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Haiku 4.5 | GPT-5 | 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 | 86.5% | Only GPT-5 measured |
| METR time horizons | Not measured | 69.6% | Only GPT-5 measured |
| Remote Labor Index | Not measured | 1.7% | Only GPT-5 measured |
| GDPval | Not measured | 34.8% | Only GPT-5 measured |
| BALROG | 31.2% | 32.8% | GPT-5 |
| DeepResearch Bench | 45.5% | 49.6% | GPT-5 |
| Vending-Bench 2 | $459 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
| Benchmark | Claude Haiku 4.5 | GPT-5 | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | 85.6% | GPT-5 |
| LiveBench reasoning | 61.7% | Not measured | Only Claude Haiku 4.5 measured |
| MMMU Pro (Vals AI) | 46.1% | 81.5% | GPT-5 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 85.4% | Only GPT-5 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 28.5% | Only GPT-5 measured |
| GPQA Diamond (Epoch AI run) | 71.2% | 86.2% | GPT-5 |
| ARC-AGI | 47.7% | 65.7% | GPT-5 |
| ARC-AGI-2 | 4.0% | 9.9% | GPT-5 |
| SimpleBench | Not measured | 56.7% | Only GPT-5 measured |
| Chess puzzles | 8.0% | 36.0% | GPT-5 |
| Mystery game puzzles | Not measured | 23.0% | Only GPT-5 measured |
| EBR-bench | Not measured | 12.7% | Only GPT-5 measured |
| VPCT | Not measured | 66.0% | Only GPT-5 measured |
| LMArena Text: hard prompts | 1421 | 1415 | Claude Haiku 4.5 |
| LMArena Text: expert | 1443 | 1419 | Claude Haiku 4.5 |
| LMArena Text: hard prompts in English | 1435 | 1419 | Claude Haiku 4.5 |
| LMArena Vision: diagrams | Not measured | 1252 | Only GPT-5 measured |
| LMArena Vision: homework | Not measured | 1278 | Only GPT-5 measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Claude Haiku 4.5 | GPT-5 | Leader |
|---|---|---|---|
| AIME | 82.7% | 93.4% | GPT-5 |
| MATH 500 (Vals AI) | Not measured | 96.0% | Only GPT-5 measured |
| MGSM (Vals AI) | 92.2% | 92.8% | GPT-5 |
| AA Math Index | Not measured | 94.3 | Only GPT-5 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 94.3% | Only GPT-5 measured |
| OTIS Mock AIME | 66.7% | 91.4% | GPT-5 |
| FrontierMath, tiers 1 to 3 | Not measured | 55.4% | Only GPT-5 measured |
| FrontierMath, tier 4 | Not measured | 22.0% | Only GPT-5 measured |
| ProofBench | Not measured | 18.0% | Only GPT-5 measured |
| MATH level 5 | 96.4% | 98.1% | GPT-5 |
| LMArena Text: math | 1398 | 1407 | GPT-5 |
| LMArena Text: mathematical work | 1430 | 1405 | 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 index112
| Benchmark | Claude Haiku 4.5 | GPT-5 | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | 86.5% | GPT-5 |
| LegalBench (Vals AI) | 81.2% | 86.0% | GPT-5 |
| CaseLaw (Vals AI) | 56.5% | 66.5% | GPT-5 |
| CorpFin (Vals AI) | 60.6% | 61.1% | GPT-5 |
| TaxEval (Vals AI) | 67.5% | 73.4% | GPT-5 |
| MortgageTax (Vals AI) | 62.2% | 65.5% | GPT-5 |
| MedQA (Vals AI) | 79.6% | 96.3% | GPT-5 |
| MedCode (Vals AI) | 32.7% | 49.6% | GPT-5 |
| MMLU Pro (Artificial Analysis run) | Not measured | 87.1% | Only GPT-5 measured |
| SimpleQA Verified | 13.2% | 50.1% | GPT-5 |
| GeoBench | Not measured | 81.0% | Only GPT-5 measured |
| LMArena Text: science | 1406 | 1416 | GPT-5 |
| LMArena Text: medicine and healthcare | 1394 | 1413 | GPT-5 |
| LMArena Text: legal and government | 1400 | 1431 | GPT-5 |
| LMArena Text: business and finance | 1400 | 1400 | Claude Haiku 4.5 |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Claude Haiku 4.5 | GPT-5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1185 | GPT-5 |
| Design Arena: UI components | 1100 | 1179 | GPT-5 |
| Design Arena: game dev | 1097 | 1185 | GPT-5 |
| Design Arena: data viz | 1124 | 1221 | GPT-5 |
| Design Arena: 3D | 1072 | 1056 | Claude Haiku 4.5 |
| Design Arena: all code categories | 1115 | 1168 | GPT-5 |
| Design Arena: SVG | 1025 | 1188 | GPT-5 |
| Design Arena: ASCII art | 1139 | 1140 | GPT-5 |
| LiveBench design | 59.9% | Not measured | Only Claude Haiku 4.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index813
| Benchmark | Claude Haiku 4.5 | GPT-5 | 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% | 43.7% | GPT-5 |
| MedScribe (Vals AI) | 85.2% | 83.7% | Claude Haiku 4.5 |
| Vals Multimodal Index | 42.9% | Not measured | Only Claude Haiku 4.5 measured |
| IFBench | Not measured | 73.1% | Only GPT-5 measured |
| Long context reasoning (AA-LCR) | Not measured | 78.2% | Only GPT-5 measured |
| DTBench | 73.6% | 90.7% | GPT-5 |
| LMCA | 30.9% | 40.0% | GPT-5 |
| Fiction.LiveBench | Not measured | 97.2% | Only GPT-5 measured |
| Creative writing (Lech Mazur) | Not measured | 86.0% | Only GPT-5 measured |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1406 | GPT-5 |
| LMArena Text: instruction following | 1414 | 1388 | Claude Haiku 4.5 |
| LMArena Text: creative writing | 1371 | 1365 | Claude Haiku 4.5 |
| LMArena Vision | Not measured | 1232 | Only GPT-5 measured |
| LMArena Text: English | 1414 | 1409 | Claude Haiku 4.5 |
| LMArena Text: non-English | 1377 | 1397 | GPT-5 |
| LMArena Text: Chinese | 1418 | 1422 | GPT-5 |
| LMArena Text: German | 1374 | 1416 | GPT-5 |
| LMArena Text: Japanese | 1338 | 1409 | GPT-5 |
| LMArena Text: Korean | 1346 | 1360 | GPT-5 |
| LMArena Text: French | 1411 | 1409 | Claude Haiku 4.5 |
| LMArena Text: Spanish | 1421 | 1399 | Claude Haiku 4.5 |
| LMArena Text: Russian | 1381 | 1407 | GPT-5 |
| LMArena Text: Polish | 1343 | 1431 | GPT-5 |
| LMArena Text: multi-turn | 1409 | 1426 | GPT-5 |
| LMArena Text: longer queries | 1427 | 1399 | Claude Haiku 4.5 |
| LMArena Text: writing and language | 1386 | 1384 | Claude Haiku 4.5 |
| LMArena Text: entertainment and media | 1369 | 1379 | GPT-5 |
| LMArena Vision: English | Not measured | 1231 | Only GPT-5 measured |
| LMArena Vision: Chinese | Not measured | 1267 | Only GPT-5 measured |
| LMArena Vision: reading text | Not measured | 1246 | Only GPT-5 measured |
| LMArena Vision: humor | Not measured | 1219 | Only GPT-5 measured |
| LMArena Vision: captioning | Not measured | 1212 | Only GPT-5 measured |
| LMArena Vision: recognizing things | Not measured | 1263 | Only GPT-5 measured |
| LMArena Vision: creative writing | Not measured | 1210 | Only GPT-5 measured |
| LMArena Document | 1420 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 8 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | GPT-5 | 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
Claude Haiku 4.5 costs less
Repository review
50K input + 3K output tokens
Claude Haiku 4.5 costs less
Agent loop
200K input + 10K output tokens
Claude Haiku 4.5 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 |
|---|---|---|
| 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 | $1.25 |
| Output $/Mtok | $5.00 | $10.00 |
| Coding index | 49.8 | 72.2 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | $0.56 | $0.39 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than GPT-5 for coding?
Pick GPT-5 for coding: it scores 72.2 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5. Pick Claude Haiku 4.5 when output tokens cost 2.0x less, or when what matters is AA Coding Index or LMArena Text: coding, where it leads.
Which is cheaper, Claude Haiku 4.5 or GPT-5?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; GPT-5 costs $1.25 and $10.00. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and GPT-5 $0.39.
Which has the bigger context window, Claude Haiku 4.5 or GPT-5?
GPT-5, with 400K tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs GPT-5 comparison based on?
72 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's on 3. Where only one model has a result, the page says so instead of naming a winner.