Claude Haiku 4.5 vs Qwen3.5-Flash
Updated October 21, 2026. 52 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 6.2 for Qwen3.5-Flash.
Pick Qwen3.5-Flash when output tokens cost 19.2x less, or when a solved task costs $0.40 against $0.56.
- Shared results
- 52
- Claude Haiku 4.5 only
- 42
- Qwen3.5-Flash only
- 3
- Like-for-like categories
- 6 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 6.2.
3 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only Claude Haiku 4.5 has a AA Intelligence Index result, 16.9.
Directional only
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
Qwen3.5-Flash
Qwen3.5-Flash leads, 82.8% against 72.2%.
Same board, both measured
Math
AIME
Qwen3.5-Flash
Qwen3.5-Flash leads, 92.5% against 82.7%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.5-Flash
Qwen3.5-Flash leads, 84.1% against 78.7%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Claude Haiku 4.5 has a Design Arena: websites result, 1122.
Directional only
Long documents
Listed context window
Qwen3.5-Flash
Qwen3.5-Flash takes 1M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-Flash
Claude Haiku 4.5 $0.0035, Qwen3.5-Flash $0.0002 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Qwen3.5-Flash
Claude Haiku 4.5 $0.56, Qwen3.5-Flash $0.40.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Haiku 4.5 49.8 from 3 benchmarks, Qwen3.5-Flash 6.2 from 1 benchmark.
- Widest category
- Coding, 12.6 points apart on average over 7 shared benchmarks.
- Widest single gap
- LiveCodeBench (Vals AI): Claude Haiku 4.5 41.2% against Qwen3.5-Flash 83.3%, 42.1 points apart on a 0 to 100 scale.
- Output price
- Claude Haiku 4.5 $5.00 against Qwen3.5-Flash $0.26 per million output tokens, 19.2x apart.
- Context window
- Claude Haiku 4.5 takes 200K tokens, Qwen3.5-Flash 1M.
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 | Qwen3.5-Flash | Ties |
|---|---|---|---|---|
| Coding | 6 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 3 | 4 | ||
| Math | 1 | 3 | ||
| Knowledge | 3 | 9 | ||
| General | 13 | 8 | ||
| All shared boards | 26 | 26 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index61
| Benchmark | Claude Haiku 4.5 | Qwen3.5-Flash | 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% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena WebDev | 1330 | 1244 | Claude Haiku 4.5 |
| AA Coding Index | 43.9 | Not measured | Only Claude Haiku 4.5 measured |
| LiveCodeBench (Vals AI) | 41.2% | 83.3% | Qwen3.5-Flash |
| SWE-bench Verified (Vals AI) | 66.6% | 64.4% | Claude Haiku 4.5 |
| 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 |
| Terminal-Bench | 35.5% | Not measured | Only Claude Haiku 4.5 measured |
| WeirdML | 45.4% | Not measured | Only Claude Haiku 4.5 measured |
| ALE-Bench | Not measured | 265.9 | Only Qwen3.5-Flash measured |
| LMArena Text: coding | 1454 | 1412 | Claude Haiku 4.5 |
| LMArena Text: software and IT | 1439 | 1416 | Claude Haiku 4.5 |
| LMArena WebDev: React | 1326 | 1229 | Claude Haiku 4.5 |
| LMArena WebDev: HTML | 1318 | 1291 | Claude Haiku 4.5 |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Haiku 4.5 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.9 | Not measured | Only Claude Haiku 4.5 measured |
| Epoch Capabilities Index | 142.2 | 143.5 | Qwen3.5-Flash |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Claude Haiku 4.5 | Qwen3.5-Flash | 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 |
| 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 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Claude Haiku 4.5 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 72.2% | 82.8% | Qwen3.5-Flash |
| LiveBench reasoning | 61.7% | Not measured | Only Claude Haiku 4.5 measured |
| MMMU Pro (Vals AI) | 46.1% | 81.9% | Qwen3.5-Flash |
| GPQA Diamond (Epoch AI run) | 71.2% | 82.3% | Qwen3.5-Flash |
| ARC-AGI | 47.7% | Not measured | Only Claude Haiku 4.5 measured |
| ARC-AGI-2 | 4.0% | Not measured | Only Claude Haiku 4.5 measured |
| Chess puzzles | 8.0% | 14.0% | Qwen3.5-Flash |
| Mystery game puzzles | Not measured | 20.0% | Only Qwen3.5-Flash measured |
| LMArena Text: hard prompts | 1421 | 1403 | Claude Haiku 4.5 |
| LMArena Text: expert | 1443 | 1407 | Claude Haiku 4.5 |
| LMArena Text: hard prompts in English | 1435 | 1409 | Claude Haiku 4.5 |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Claude Haiku 4.5 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| AIME | 82.7% | 92.5% | Qwen3.5-Flash |
| MGSM (Vals AI) | 92.2% | Not measured | Only Claude Haiku 4.5 measured |
| OTIS Mock AIME | 66.7% | 84.4% | Qwen3.5-Flash |
| FrontierMath, tiers 1 to 3 | Not measured | 18.2% | Only Qwen3.5-Flash measured |
| MATH level 5 | 96.4% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text: math | 1398 | 1407 | Qwen3.5-Flash |
| LMArena Text: mathematical work | 1430 | 1413 | Claude Haiku 4.5 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index39
| Benchmark | Claude Haiku 4.5 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| MMLU Pro | 78.7% | 84.1% | Qwen3.5-Flash |
| LegalBench (Vals AI) | 81.2% | 84.3% | Qwen3.5-Flash |
| CaseLaw (Vals AI) | 56.5% | 56.0% | Claude Haiku 4.5 |
| CorpFin (Vals AI) | 60.6% | 63.6% | Qwen3.5-Flash |
| TaxEval (Vals AI) | 67.5% | 72.2% | Qwen3.5-Flash |
| MortgageTax (Vals AI) | 62.2% | 67.4% | Qwen3.5-Flash |
| MedQA (Vals AI) | 79.6% | Not measured | Only Claude Haiku 4.5 measured |
| MedCode (Vals AI) | 32.7% | 33.0% | Qwen3.5-Flash |
| SimpleQA Verified | 13.2% | 20.3% | Qwen3.5-Flash |
| LMArena Text: science | 1406 | 1415 | Qwen3.5-Flash |
| LMArena Text: medicine and healthcare | 1394 | 1407 | Qwen3.5-Flash |
| LMArena Text: legal and government | 1400 | 1398 | Claude Haiku 4.5 |
| LMArena Text: business and finance | 1400 | 1394 | Claude Haiku 4.5 |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Claude Haiku 4.5 | Qwen3.5-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1122 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: UI components | 1100 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: game dev | 1097 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: data viz | 1124 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: 3D | 1072 | Not measured | Only Claude Haiku 4.5 measured |
| Design Arena: all code categories | 1115 | Not measured | Only Claude Haiku 4.5 measured |
| 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 index138
| Benchmark | Claude Haiku 4.5 | Qwen3.5-Flash | 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% | 42.5% | Qwen3.5-Flash |
| MedScribe (Vals AI) | 85.2% | 70.6% | Claude Haiku 4.5 |
| Vals Multimodal Index | 42.9% | Not measured | Only Claude Haiku 4.5 measured |
| DTBench | 73.6% | 82.9% | Qwen3.5-Flash |
| LMCA | 30.9% | 29.1% | Claude Haiku 4.5 |
| ExploitBench | 13.7% | Not measured | Only Claude Haiku 4.5 measured |
| LMArena Text | 1397 | 1397 | Claude Haiku 4.5 |
| LMArena Text: instruction following | 1414 | 1374 | Claude Haiku 4.5 |
| LMArena Text: creative writing | 1371 | 1343 | Claude Haiku 4.5 |
| LMArena Text: English | 1414 | 1404 | Claude Haiku 4.5 |
| LMArena Text: non-English | 1377 | 1385 | Qwen3.5-Flash |
| LMArena Text: Chinese | 1418 | 1445 | Qwen3.5-Flash |
| LMArena Text: German | 1374 | 1390 | Qwen3.5-Flash |
| LMArena Text: Japanese | 1338 | 1369 | Qwen3.5-Flash |
| LMArena Text: Korean | 1346 | 1344 | Claude Haiku 4.5 |
| LMArena Text: French | 1411 | 1413 | Qwen3.5-Flash |
| LMArena Text: Spanish | 1421 | 1400 | Claude Haiku 4.5 |
| LMArena Text: Russian | 1381 | 1380 | Claude Haiku 4.5 |
| LMArena Text: Polish | 1343 | 1376 | Qwen3.5-Flash |
| LMArena Text: multi-turn | 1409 | 1393 | Claude Haiku 4.5 |
| LMArena Text: longer queries | 1427 | 1392 | Claude Haiku 4.5 |
| LMArena Text: writing and language | 1386 | 1369 | Claude Haiku 4.5 |
| LMArena Text: entertainment and media | 1369 | 1347 | Claude Haiku 4.5 |
| LMArena Document | 1420 | Not measured | Only Claude Haiku 4.5 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Haiku 4.5 | Qwen3.5-Flash | 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
Qwen3.5-Flash costs less
Repository review
50K input + 3K output tokens
Qwen3.5-Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-Flash 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 | Qwen3.5-Flash |
|---|---|---|
| Maker | Anthropic | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | October 15, 2025 | February 25, 2026 |
| Context window | 200K | 1M |
| Input $/Mtok | $1.00 | $0.065 |
| Output $/Mtok | $5.00 | $0.26 |
| Coding index | 49.8 | 6.2 |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $0.56 | $0.40 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 4.5 better than Qwen3.5-Flash for coding?
Pick Claude Haiku 4.5 for coding: it scores 49.8 on the Vibe Coding Index against 6.2 for Qwen3.5-Flash. Pick Qwen3.5-Flash when output tokens cost 19.2x less, or when a solved task costs $0.40 against $0.56.
Which is cheaper, Claude Haiku 4.5 or Qwen3.5-Flash?
Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and Qwen3.5-Flash $0.40.
Which has the bigger context window, Claude Haiku 4.5 or Qwen3.5-Flash?
Qwen3.5-Flash, with 1M tokens against 200K.
How many benchmarks is the Claude Haiku 4.5 vs Qwen3.5-Flash comparison based on?
52 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 Qwen3.5-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.