Qwen3.6-27BvsHaiku 4.5
Across 7 shared benchmarks, Qwen3.6-27B leads overall: Qwen3.6-27B wins 6, Haiku 4.5 wins 1, with 0 ties and an average score difference of +14.82.
Qwen3.6-27B
阿里巴巴 · 2026-04-22 · Reasoning model
Haiku 4.5
Anthropic · 2025-10-15 · Multimodal model
Qwen3.6-27B6 wins(86%)(14%)1 winHaiku 4.5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 7 shared benchmarks.
Coding and Software Engineer
Qwen3.6-27B 3/3| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| LiveCodeBench | 83.9017 / 118Thinking (No Tools) | 5189 / 118Normal (No Tools) | +32.90 |
| SWE-bench Verified | 77.2020 / 103Thinking (With Tools) | 60.6071 / 103Normal (With Tools) | +16.60 |
| SWE-Bench Pro - Public | 53.5018 / 36Thinking (With Tools) |
Specs
| Field | Qwen3.6-27B | Haiku 4.5 |
|---|---|---|
| Publisher | 阿里巴巴 | Anthropic |
| Release date | 2026-04-22 | 2025-10-15 |
| Model type | Reasoning model | Multimodal model |
| Architecture | Dense | Dense |
| Parameters | 270.0 | 0.0 |
| Context length | 128K | 200K |
| Max output | 16384 | 65536 |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Qwen3.6-27B | Haiku 4.5 |
|---|---|---|
| Text input | Not public | 1 美元 / 100万 tokens |
| Text output | Not public | 5 美元 / 100万 tokens |
| Cache read | Not public | 1.25 美元 / 100万 tokens |
| Cache write | Not public | 0.10 美元 / 100万 tokens |
One or both models have incomplete public pricing.
Summary
- Qwen3.6-27Bleads in:Coding and Software Engineer (3/3), General Knowledge (3/3)
- Haiku 4.5leads in:Claw-style Agent Evaluation (1/1)
On average across the 7 shared benchmarks, Qwen3.6-27B scores 14.82 higher.
Largest single-benchmark gap: LiveCodeBench — Qwen3.6-27B 83.90 vs Haiku 4.5 51 (+32.90).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.