Claude Haiku 4.5 vs GPT-6 Astra
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-6 Astra for coding: it scores 88.7 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 2 benchmarks against 3.
Pick Claude Haiku 4.5 when output tokens cost 10.0x less.
- Shared results
- 72
- Claude Haiku 4.5 only
- 22
- GPT-6 Astra only
- 47
- 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-6 Astra
GPT-6 Astra scores 88.7 against 49.8.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6 Astra
GPT-6 Astra leads, 52.7 against 16.9.
Same board, both measured
Agentic work
AA Agentic Index
GPT-6 Astra
GPT-6 Astra leads, 51.0 against 8.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Haiku 4.5 has a GPQA Diamond result, 72.2%.
Directional only
Math
AIME
No call
Only Claude Haiku 4.5 has a AIME result, 82.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Haiku 4.5 has a MMLU Pro result, 78.7%.
Directional only
Web design
Design Arena: websites
GPT-6 Astra
GPT-6 Astra leads, 1337 against 1122.
Same board, both measured
General
Vals Index
No call
Only GPT-6 Astra has a Vals Index result, 65.0%.
Directional only
Long documents
Listed context window
GPT-6 Astra
GPT-6 Astra takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Claude Haiku 4.5
Claude Haiku 4.5 $0.0035, GPT-6 Astra $0.035 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Haiku 4.5 has the number, $0.56.
Directional only
At a glance
- Coding index
- Claude Haiku 4.5 49.8 from 3 benchmarks, GPT-6 Astra 88.7 from 2 benchmarks.
- Widest category
- Agentic work, 44.8 points apart on average over 10 shared benchmarks.
- Widest single gap
- Vending-Bench 2: Claude Haiku 4.5 $459 against GPT-6 Astra $15,515, 94.1 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against GPT-6 Astra $50.00 per million output tokens, 10.0x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, GPT-6 Astra 1.05M.
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-6 Astra | Ties |
|---|---|---|---|---|
| Coding | 0 | 12 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 10 | ||
| Reasoning | 0 | 8 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 6 | ||
| Web design | 0 | 9 | ||
| General | 0 | 22 | ||
| All shared boards | 0 | 72 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index012
| Benchmark | Claude Haiku 4.5 | GPT-6 Astra | Leader |
|---|---|---|---|
| SWE-bench Verified | 66.6% | Not measured | Only Claude Haiku 4.5 measured |
| SWE-bench Multilingual | 64.7% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench coding | 48.1% | 93.7% | GPT-6 Astra |
| LMArena WebDev | 1330 | 1774 | GPT-6 Astra |
| AA Coding Index | 43.9 | 76.9 | GPT-6 Astra |
| LiveCodeBench (Vals AI) | 41.2% | Not measured | Only Claude Haiku 4.5 measured |
| SWE-bench Verified (Vals AI) | 66.6% | Not measured | Only Claude Haiku 4.5 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 59.6% | Only GPT-6 Astra measured |
| Vibe Code Bench (Vals AI) | 11.4% | 89.6% | GPT-6 Astra |
| Code migration (Vals AI) | 7.5% | 67.7% | GPT-6 Astra |
| ProgramBench (Vals AI) | 0.0% | 5.5% | GPT-6 Astra |
| IOI (Vals AI) | Not measured | 100.0% | Only GPT-6 Astra measured |
| Terminal-Bench 2.1 (Vals AI) | 43.8% | 87.3% | GPT-6 Astra |
| SWE-bench Multimodal (Vals AI) | Not measured | 43.3% | Only GPT-6 Astra measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 27.6% | Only GPT-6 Astra measured |
| CyberBench (Vals AI) | Not measured | 41.1% | Only GPT-6 Astra measured |
| SciCode | Not measured | 56.5% | Only GPT-6 Astra measured |
| Terminal-Bench | 35.5% | Not measured | Only Claude Haiku 4.5 measured |
| FrontierCode | Not measured | 53.3% | Only GPT-6 Astra measured |
| FrontierSWE | Not measured | 65.5% | Only GPT-6 Astra measured |
| GSO-Bench | Not measured | 79.4% | Only GPT-6 Astra measured |
| WeirdML | 45.4% | 93.3% | GPT-6 Astra |
| MirrorCode | Not measured | 46.7% | Only GPT-6 Astra measured |
| ALE-Bench | Not measured | 2951.3 | Only GPT-6 Astra measured |
| LMArena Text: coding | 1454 | 1489 | GPT-6 Astra |
| LMArena Text: software and IT | 1439 | 1474 | GPT-6 Astra |
| LMArena WebDev: React | 1326 | 1798 | GPT-6 Astra |
| LMArena WebDev: HTML | 1318 | 1775 | GPT-6 Astra |
| LMArena WebDev: from an image | Not measured | 1726 | Only GPT-6 Astra measured |
| Neither model has a result on the other 9 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Haiku 4.5 | GPT-6 Astra | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 52.7 | GPT-6 Astra |
| Epoch Capabilities Index | 142.2 | 168.8 | GPT-6 Astra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index010
| Benchmark | Claude Haiku 4.5 | GPT-6 Astra | Leader |
|---|---|---|---|
| AA Agentic Index | 8.0 | 51.0 | GPT-6 Astra |
| Design Arena: agents building web apps | Not measured | 1372 | Only GPT-6 Astra measured |
| Design Arena: agents building full-stack apps | Not measured | 1357 | Only GPT-6 Astra measured |
| Design Arena: agents building mobile apps | Not measured | 1312 | Only GPT-6 Astra measured |
| Design Arena: agents building Godot games | Not measured | 1348 | Only GPT-6 Astra measured |
| Design Arena: PowerPoint slides | Not measured | 1245 | Only GPT-6 Astra measured |
| Design Arena: spreadsheets | Not measured | 1380 | Only GPT-6 Astra measured |
| LiveBench research | 42.2% | 85.2% | GPT-6 Astra |
| LiveBench browser | 40.0% | 84.0% | GPT-6 Astra |
| LiveBench long agentic | 11.1% | 82.4% | GPT-6 Astra |
| SREBench (Vals AI) | Not measured | 56.9% | Only GPT-6 Astra measured |
| Finance Agent (Vals AI) | 31.0% | 53.5% | GPT-6 Astra |
| Tax Agent Bench (Vals AI) | 5.9% | 20.7% | GPT-6 Astra |
| Legal Research Bench (Vals AI) | 10.6% | 39.4% | GPT-6 Astra |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 7.1% | Only GPT-6 Astra measured |
| Excel Modeling Benchmark (Vals AI) | 22.7% | 71.7% | GPT-6 Astra |
| BioMysteryBench (Vals AI) | Not measured | 79.3% | Only GPT-6 Astra measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 62.9% | Only GPT-6 Astra measured |
| Vals Science Index | Not measured | 65.1% | Only GPT-6 Astra measured |
| Time Horizon Index (Vals AI) | Not measured | 90.5% | Only GPT-6 Astra measured |
| CUA-bench (Vals AI) | Not measured | 19.2% | Only GPT-6 Astra measured |
| Robo-bench (Vals AI) | Not measured | 23.3% | Only GPT-6 Astra measured |
| APEX-Agents | Not measured | 64.7% | Only GPT-6 Astra measured |
| Remote Labor Index | Not measured | 20.8% | Only GPT-6 Astra measured |
| BALROG | 31.2% | 68.3% | GPT-6 Astra |
| DeepResearch Bench | 45.5% | Not measured | Only Claude Haiku 4.5 measured |
| SpireClimb | Not measured | 25.7% | Only GPT-6 Astra measured |
| Vending-Bench 2 | $459 | $15,515 | GPT-6 Astra |
| Neither model has a result on the other 11 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Claude Haiku 4.5 | GPT-6 Astra | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | Not measured | Only Claude Haiku 4.5 measured |
| LiveBench reasoning | 61.7% | 92.7% | GPT-6 Astra |
| MysteryMechanism (Vals AI) | Not measured | 53.1% | Only GPT-6 Astra measured |
| MMMU Pro (Vals AI) | 46.1% | Not measured | Only Claude Haiku 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 96.3% | Only GPT-6 Astra measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 54.7% | Only GPT-6 Astra measured |
| GPQA Diamond (Epoch AI run) | 71.2% | 95.8% | GPT-6 Astra |
| ARC-AGI | 47.7% | 98.5% | GPT-6 Astra |
| ARC-AGI-2 | 4.0% | 95.0% | GPT-6 Astra |
| Chess puzzles | 8.0% | 74.0% | GPT-6 Astra |
| Mystery game puzzles | Not measured | 84.0% | Only GPT-6 Astra measured |
| EBR-bench | Not measured | 76.2% | Only GPT-6 Astra measured |
| LMArena Text: hard prompts | 1421 | 1463 | GPT-6 Astra |
| LMArena Text: expert | 1443 | 1489 | GPT-6 Astra |
| LMArena Text: hard prompts in English | 1435 | 1464 | GPT-6 Astra |
| LMArena Vision: diagrams | Not measured | 1297 | Only GPT-6 Astra measured |
| LMArena Vision: homework | Not measured | 1337 | Only GPT-6 Astra measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Claude Haiku 4.5 | GPT-6 Astra | Leader |
|---|---|---|---|
| AIME | 82.7% | Not measured | Only Claude Haiku 4.5 measured |
| MGSM (Vals AI) | 92.2% | Not measured | Only Claude Haiku 4.5 measured |
| OTIS Mock AIME | 66.7% | 100.0% | GPT-6 Astra |
| FrontierMath, tiers 1 to 3 | Not measured | 93.7% | Only GPT-6 Astra measured |
| FrontierMath, tier 4 | Not measured | 97.6% | Only GPT-6 Astra measured |
| ProofBench | Not measured | 99.0% | Only GPT-6 Astra measured |
| MATH level 5 | 96.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: math | 1398 | 1465 | GPT-6 Astra |
| LMArena Text: mathematical work | 1430 | 1484 | GPT-6 Astra |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Claude Haiku 4.5 | GPT-6 Astra | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | Not measured | Only Claude Haiku 4.5 measured |
| LegalBench (Vals AI) | 81.2% | Not measured | Only Claude Haiku 4.5 measured |
| CaseLaw (Vals AI) | 56.5% | Not measured | Only Claude Haiku 4.5 measured |
| CorpFin (Vals AI) | 60.6% | Not measured | Only Claude Haiku 4.5 measured |
| TaxEval (Vals AI) | 67.5% | Not measured | Only Claude Haiku 4.5 measured |
| MortgageTax (Vals AI) | 62.2% | Not measured | Only Claude Haiku 4.5 measured |
| MedQA (Vals AI) | 79.6% | Not measured | Only Claude Haiku 4.5 measured |
| MedCode (Vals AI) | 32.7% | 48.5% | GPT-6 Astra |
| SimpleQA Verified | 13.2% | 75.6% | GPT-6 Astra |
| LMArena Text: science | 1406 | 1451 | GPT-6 Astra |
| LMArena Text: medicine and healthcare | 1394 | 1425 | GPT-6 Astra |
| LMArena Text: legal and government | 1400 | 1462 | GPT-6 Astra |
| LMArena Text: business and finance | 1400 | 1439 | GPT-6 Astra |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Claude Haiku 4.5 | GPT-6 Astra | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1337 | GPT-6 Astra |
| Design Arena: UI components | 1100 | 1394 | GPT-6 Astra |
| Design Arena: game dev | 1097 | 1474 | GPT-6 Astra |
| Design Arena: data viz | 1124 | 1335 | GPT-6 Astra |
| Design Arena: 3D | 1072 | 1501 | GPT-6 Astra |
| Design Arena: all code categories | 1115 | 1379 | GPT-6 Astra |
| Design Arena: SVG | 1025 | 1431 | GPT-6 Astra |
| Design Arena: ASCII art | 1139 | 1359 | GPT-6 Astra |
| LiveBench design | 59.9% | 82.0% | GPT-6 Astra |
GeneralLike-for-likePublic boards, shown as published, kept out of the index022
| Benchmark | Claude Haiku 4.5 | GPT-6 Astra | Leader |
|---|---|---|---|
| Vals Index | Not measured | 65.0% | Only GPT-6 Astra measured |
| LiveBench data analysis | 59.3% | 83.0% | GPT-6 Astra |
| Public Benefits Bench (Vals AI) | 54.3% | Not measured | Only Claude Haiku 4.5 measured |
| SAGE (Vals AI) | 31.8% | 46.4% | GPT-6 Astra |
| MedScribe (Vals AI) | 85.2% | 87.9% | GPT-6 Astra |
| Vals Multimodal Index | 42.9% | Not measured | Only Claude Haiku 4.5 measured |
| Long context reasoning (AA-LCR) | Not measured | 80.7% | Only GPT-6 Astra measured |
| DTBench | 73.6% | 97.3% | GPT-6 Astra |
| LMCA | 30.9% | 64.4% | GPT-6 Astra |
| Furniture assembly | Not measured | 80.0% | Only GPT-6 Astra measured |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1441 | GPT-6 Astra |
| LMArena Text: instruction following | 1414 | 1455 | GPT-6 Astra |
| LMArena Text: creative writing | 1371 | 1420 | GPT-6 Astra |
| LMArena Vision | Not measured | 1280 | Only GPT-6 Astra measured |
| LMArena Text: English | 1414 | 1447 | GPT-6 Astra |
| LMArena Text: non-English | 1377 | 1432 | GPT-6 Astra |
| LMArena Text: Chinese | 1418 | 1489 | GPT-6 Astra |
| LMArena Text: German | 1374 | 1459 | GPT-6 Astra |
| LMArena Text: Japanese | 1338 | 1405 | GPT-6 Astra |
| LMArena Text: Korean | 1346 | 1428 | GPT-6 Astra |
| LMArena Text: French | 1411 | 1432 | GPT-6 Astra |
| LMArena Text: Spanish | 1421 | 1422 | GPT-6 Astra |
| LMArena Text: Russian | 1381 | 1438 | GPT-6 Astra |
| LMArena Text: Polish | 1343 | 1422 | GPT-6 Astra |
| LMArena Text: multi-turn | 1409 | 1447 | GPT-6 Astra |
| LMArena Text: longer queries | 1427 | 1460 | GPT-6 Astra |
| LMArena Text: writing and language | 1386 | 1437 | GPT-6 Astra |
| LMArena Text: entertainment and media | 1369 | 1427 | GPT-6 Astra |
| LMArena Vision: English | Not measured | 1280 | Only GPT-6 Astra measured |
| LMArena Vision: Chinese | Not measured | 1361 | Only GPT-6 Astra measured |
| LMArena Vision: reading text | Not measured | 1292 | Only GPT-6 Astra measured |
| LMArena Vision: creative writing | Not measured | 1286 | Only GPT-6 Astra 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-6 Astra | 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-6 Astra |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | October 15, 2025 | September 4, 2026 |
| Context window | 200K | 1.05M |
| Input $/Mtok | $1.00 | $10.00 |
| Output $/Mtok | $5.00 | $50.00 |
| Coding index | 49.8 | 88.7 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $0.56 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than GPT-6 Astra for coding?
Pick GPT-6 Astra for coding: it scores 88.7 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 2 benchmarks against 3. Pick Claude Haiku 4.5 when output tokens cost 10.0x less.
Which is cheaper, Claude Haiku 4.5 or GPT-6 Astra?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; GPT-6 Astra costs $10.00 and $50.00. Cost per solved task is known for Claude Haiku 4.5 only.
Which has the bigger context window, Claude Haiku 4.5 or GPT-6 Astra?
GPT-6 Astra, with 1.05M tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs GPT-6 Astra 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-6 Astra's on 2. Where only one model has a result, the page says so instead of naming a winner.