Model comparison
Claude Haiku 4.5 vs Qwen3.6 27B
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 39.5 on the Noometry Index.
Last verified . 9 shared benchmarks.
Summary
- They share 9 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 2 categories and Qwen3.6 27B in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 37.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 66.7% for Claude Haiku 4.5 and 91.1% for Qwen3.6 27B.
- Qwen3.6 27B is cheaper at $0.60 / $3.60 per million input/output tokens, against $1 / $5 for Claude Haiku 4.5.
- Qwen3.6 27B accepts more context: 262K tokens versus 200K.
- Qwen3.6 27B has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Qwen3.6 27B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.5 | 42.2 |
| Released | 2025-10-15 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 64K | 66K |
| Input $ / M tokens | $1 | $0.60 |
| Output $ / M tokens | $5 | $3.60 |
| Results tracked | 53 | 11 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Qwen3.6 27B: 39.1 (#163)
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| SciCode | 43.3% | 37.3% |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| WeirdML | 45.4% | — |
| LMArena Coding | 1453 | — |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.6 (#52), Qwen3.6 27B: —
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Qwen3.6 27B leads
Claude Haiku 4.5: 15.1 (#320), Qwen3.6 27B: 25.0 (#153)
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| CritPt | 0% | 0.9% |
| Chess Puzzles | 8% | 22% |
| DTBench | 73.6% | 78.1% |
| LMCA | 30.9% | 34.5% |
| Epoch Capabilities Index | 142.41 | 146.5 |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| LMArena Hard Prompts | 1420 | — |
| Mystery Game Puzzles | — | 7% |
| ForecastBench | 61.4 | — |
Math Qwen3.6 27B leads
Claude Haiku 4.5: 44.9 (#78), Qwen3.6 27B: 48.5 (#62)
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 91.1% |
| FrontierMath (Tiers 1-3) | — | 35.1% |
| Omni-MATH | 56.1% | — |
| LMArena Math | 1396 | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Qwen3.6 27B leads
Claude Haiku 4.5: 37.7 (#153), Qwen3.6 27B: 52.4 (#63)
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| GPQA Diamond | 71.2% | 85.9% |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
| LMArena Expert | 1442 | — |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Qwen3.6 27B: —
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Not comparable
Claude Haiku 4.5: 49.9 (#129), Qwen3.6 27B: —
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| LMArena Non-English | 1377 | — |
| LMArena Chinese | 1417 | — |
| LMArena French | 1408 | — |
| LMArena German | 1375 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
| LMArena Russian | 1381 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Not comparable
Claude Haiku 4.5: 71.4 (#149), Qwen3.6 27B: —
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| IFEval | 80.1% | — |
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
Claude Haiku 4.5: 43.6 (#92), Qwen3.6 27B: —
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| LMArena Longer Query | 1427 | — |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Qwen3.6 27B: 50.3 (#181)
| Benchmark | Claude Haiku 4.5 | Qwen3.6 27B |
|---|---|---|
| EQ-Bench 4 | 1064 | 1026 |
| LMArena Text | 1396 | — |
| LMArena Creative Writing | 1372 | — |
| WildBench | 83.9% | — |
| LMArena Multi-Turn | 1409 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Qwen3.6 27B?
Qwen3.6 27B is the stronger model overall, scoring 42.2 to 39.5 on the Noometry Index.
Which is cheaper, Claude Haiku 4.5 or Qwen3.6 27B?
Qwen3.6 27B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Claude Haiku 4.5 lists at $1 and $5.
Is Claude Haiku 4.5 or Qwen3.6 27B better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 39.1 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 27B does, with 262K tokens against 200K.
How many benchmarks do Claude Haiku 4.5 and Qwen3.6 27B share?
9 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Qwen3.6 27B has 11.