Claude Haiku 4.5 vs o3
o3 leads Claude Haiku 4.5 on the Artificial Analysis Intelligence Index, 20.2 to 16.9, and Claude Haiku 4.5 costs 1.6x less per output token ($5.00 vs $8.00 per million). Updated October 21, 2026; 62 benchmarks have a result for both.
Claude Haiku 4.5 or o3: which to pick
Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding.
Pick o3 for work measured by LiveCodeBench (Vals AI) or WeirdML, where it leads.
- Shared results
- 62
- Claude Haiku 4.5 only
- 33
- o3 only
- 40
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
No call
Only Claude Haiku 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
o3
o3 leads, 20.2 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
o3
o3 leads, 84.1% against 72.2%.
Same board, both measured
Math
AIME
o3
o3 leads, 85.3% against 82.7%.
Same board, both measured
Knowledge
MMLU Pro
o3
o3 leads, 85.6% against 78.7%.
Same board, both measured
Web design
Design Arena: websites
Claude Haiku 4.5
Claude Haiku 4.5 leads, 1122 against 1036.
Same board, both measured
Long documents
Listed context window
No call
Both take 200K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Claude Haiku 4.5
Claude Haiku 4.5 $0.0035, o3 $0.0060 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Claude Haiku 4.5
Claude Haiku 4.5 $0.56, o3 $0.571.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Haiku 4.5 35.6 from 4 benchmarks, o3 not benchmarked.
- Widest category
- Coding, 13.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- LiveCodeBench (Vals AI): Claude Haiku 4.5 41.2% against o3 83.9%, 42.7 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against o3 $8.00 per million output tokens, 1.6x apart.
- Context window
- Both take 200K tokens.
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 | o3 | Ties |
|---|---|---|---|---|
| Coding | 3 | 2 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 3 | 6 | ||
| Math | 2 | 4 | ||
| Knowledge | 2 | 10 | ||
| Web design | 4 | 1 | ||
| General | 7 | 14 | ||
| All shared boards | 23 | 39 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
| Benchmark | Claude Haiku 4.5 | o3 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 81.3% | Only o3 measured |
| SWE-bench Verified | 66.6% | 58.4% | Claude Haiku 4.5 |
| SWE-bench Multimodal | Not measured | 36.0% | Only o3 measured |
| 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% | 83.9% | o3 |
| 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 | 80.8% | Only o3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 37.1% | Only o3 measured |
| Terminal-Bench | 35.5% | Not measured | Only Claude Haiku 4.5 measured |
| GSO-Bench | Not measured | 8.8% | Only o3 measured |
| WeirdML | 45.4% | 52.4% | o3 |
| ALE-Bench | Not measured | 933.5 | Only o3 measured |
| LMArena Text: coding | 1454 | 1407 | Claude Haiku 4.5 |
| LMArena Text: software and IT | 1439 | 1415 | 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 |
| SciCode | Not measured | 9.2% | Only o3 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Haiku 4.5 | o3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | 20.2 | o3 |
| Epoch Capabilities Index | 142.2 | 146.7 | o3 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Haiku 4.5 | o3 | 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 | 80.7% | Only o3 measured |
| METR time horizons | Not measured | 65.4% | Only o3 measured |
| GDPval | Not measured | 30.8% | Only o3 measured |
| BALROG | 31.2% | Not measured | Only Claude Haiku 4.5 measured |
| DeepResearch Bench | 45.5% | 45.2% | Claude Haiku 4.5 |
| OSWorld | Not measured | 23.0% | Only o3 measured |
| Vending-Bench 2 | $459 | Not measured | Only Claude Haiku 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 68.7% | 63.0% | Claude Haiku 4.5 |
| BrowseComp-Plus | Not measured | 65.9% | Only o3 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 | o3 | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | 84.1% | o3 |
| LiveBench reasoning | 61.7% | Not measured | Only Claude Haiku 4.5 measured |
| MMMU Pro (Vals AI) | 46.1% | 80.4% | o3 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 82.7% | Only o3 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 20.1% | Only o3 measured |
| GPQA Diamond (Epoch AI run) | 71.2% | 81.8% | o3 |
| ARC-AGI | 47.7% | 60.8% | o3 |
| ARC-AGI-2 | 4.0% | 6.5% | o3 |
| SimpleBench | Not measured | 53.1% | Only o3 measured |
| Chess puzzles | 8.0% | 37.0% | o3 |
| Mystery game puzzles | Not measured | 29.0% | Only o3 measured |
| VPCT | Not measured | 52.0% | Only o3 measured |
| LMArena Text: hard prompts | 1421 | 1402 | Claude Haiku 4.5 |
| LMArena Text: expert | 1443 | 1402 | Claude Haiku 4.5 |
| LMArena Text: hard prompts in English | 1435 | 1411 | Claude Haiku 4.5 |
| LMArena Vision: diagrams | Not measured | 1220 | Only o3 measured |
| LMArena Vision: homework | Not measured | 1234 | Only o3 measured |
| Kagi LLM Benchmark | Not measured | 67.6% | Only o3 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Claude Haiku 4.5 | o3 | Leader |
|---|---|---|---|
| AIME | 82.7% | 85.3% | o3 |
| MATH 500 (Vals AI) | Not measured | 94.6% | Only o3 measured |
| MGSM (Vals AI) | 92.2% | 91.8% | Claude Haiku 4.5 |
| AA Math Index | Not measured | 88.3 | Only o3 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 88.3% | Only o3 measured |
| OTIS Mock AIME | 66.7% | 84.4% | o3 |
| FrontierMath, tiers 1 to 3 | Not measured | 33.3% | Only o3 measured |
| MATH level 5 | 96.4% | 97.8% | o3 |
| LMArena Text: math | 1398 | 1426 | o3 |
| LMArena Text: mathematical work | 1430 | 1423 | Claude Haiku 4.5 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index210
| Benchmark | Claude Haiku 4.5 | o3 | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | 85.6% | o3 |
| LegalBench (Vals AI) | 81.2% | 83.8% | o3 |
| CaseLaw (Vals AI) | 56.5% | Not measured | Only Claude Haiku 4.5 measured |
| CorpFin (Vals AI) | 60.6% | 59.7% | Claude Haiku 4.5 |
| TaxEval (Vals AI) | 67.5% | 74.6% | o3 |
| MortgageTax (Vals AI) | 62.2% | 65.7% | o3 |
| MedQA (Vals AI) | 79.6% | 96.1% | o3 |
| MedCode (Vals AI) | 32.7% | 47.3% | o3 |
| MMLU Pro (Artificial Analysis run) | Not measured | 85.3% | Only o3 measured |
| SimpleQA Verified | 13.2% | 49.4% | o3 |
| GeoBench | Not measured | 74.0% | Only o3 measured |
| LMArena Text: science | 1406 | 1429 | o3 |
| LMArena Text: medicine and healthcare | 1394 | 1448 | o3 |
| LMArena Text: legal and government | 1400 | 1428 | o3 |
| LMArena Text: business and finance | 1400 | 1393 | Claude Haiku 4.5 |
| FACTS Benchmark Suite | Not measured | 44.4% | Only o3 measured |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Claude Haiku 4.5 | o3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | 1036 | Claude Haiku 4.5 |
| Design Arena: UI components | 1100 | 1017 | Claude Haiku 4.5 |
| Design Arena: game dev | 1097 | 1034 | Claude Haiku 4.5 |
| Design Arena: data viz | 1124 | 1200 | o3 |
| Design Arena: 3D | 1072 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: all code categories | 1115 | 1020 | Claude Haiku 4.5 |
| Design Arena: SVG | 1026 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: ASCII art | 1140 | 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 index714
| Benchmark | Claude Haiku 4.5 | o3 | 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% | 41.8% | o3 |
| MedScribe (Vals AI) | 85.2% | 76.7% | Claude Haiku 4.5 |
| Vals Multimodal Index | 42.9% | Not measured | Only Claude Haiku 4.5 measured |
| IFBench | Not measured | 71.4% | Only o3 measured |
| Long context reasoning (AA-LCR) | Not measured | 74.7% | Only o3 measured |
| DTBench | 73.6% | 84.8% | o3 |
| LMCA | 30.9% | 39.7% | o3 |
| Fiction.LiveBench | Not measured | 88.9% | Only o3 measured |
| Creative writing (Lech Mazur) | Not measured | 83.9% | Only o3 measured |
| CL-bench | Not measured | 17.8% | Only o3 measured |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1410 | o3 |
| LMArena Text: instruction following | 1414 | 1368 | Claude Haiku 4.5 |
| LMArena Text: creative writing | 1371 | 1359 | Claude Haiku 4.5 |
| LMArena Vision | Not measured | 1214 | Only o3 measured |
| LMArena Text: English | 1414 | 1417 | o3 |
| LMArena Text: non-English | 1377 | 1401 | o3 |
| LMArena Text: Chinese | 1418 | 1437 | o3 |
| LMArena Text: German | 1374 | 1420 | o3 |
| LMArena Text: Japanese | 1338 | 1403 | o3 |
| LMArena Text: Korean | 1346 | 1370 | o3 |
| LMArena Text: French | 1411 | 1430 | o3 |
| LMArena Text: Spanish | 1421 | 1395 | Claude Haiku 4.5 |
| LMArena Text: Russian | 1381 | 1406 | o3 |
| LMArena Text: Polish | 1343 | 1438 | o3 |
| LMArena Text: multi-turn | 1409 | 1405 | Claude Haiku 4.5 |
| LMArena Text: longer queries | 1427 | 1372 | Claude Haiku 4.5 |
| LMArena Text: writing and language | 1386 | 1372 | Claude Haiku 4.5 |
| LMArena Text: entertainment and media | 1369 | 1373 | o3 |
| LMArena Vision: English | Not measured | 1221 | Only o3 measured |
| LMArena Vision: Chinese | Not measured | 1237 | Only o3 measured |
| LMArena Vision: reading text | Not measured | 1218 | Only o3 measured |
| LMArena Vision: humor | Not measured | 1222 | Only o3 measured |
| LMArena Vision: captioning | Not measured | 1210 | Only o3 measured |
| LMArena Vision: recognizing things | Not measured | 1234 | Only o3 measured |
| LMArena Vision: creative writing | Not measured | 1201 | Only o3 measured |
| LMArena Document | 1420 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 7 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | o3 | 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 o3 |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | October 15, 2025 | April 16, 2025 |
| Context window | 200K | 200K |
| Input $/Mtok | $1.00 | $2.00 |
| Output $/Mtok | $5.00 | $8.00 |
| Coding index | 35.6 | Not benchmarked |
| Independent measurements behind it | 4 | 0 |
| Cost per solved task | $0.56 | $0.571 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than o3 for coding?
Only Claude Haiku 4.5 has a coding score, 35.6 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding. Pick o3 for work measured by LiveCodeBench (Vals AI) or WeirdML, where it leads.
Which is cheaper, Claude Haiku 4.5 or o3?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; o3 costs $2.00 and $8.00. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and o3 $0.571.
Which has the bigger context window, Claude Haiku 4.5 or o3?
Neither: both take 200K tokens.
How many benchmarks is the Claude Haiku 4.5 vs o3 comparison based on?
62 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 4.5's coding index rests on 4 independent benchmarks and o3's on 0. Where only one model has a result, the page says so instead of naming a winner.