Qwen3.6-27BvsHaiku 4.5
Across 12 shared benchmarks, Qwen3.6-27B leads overall: Qwen3.6-27B wins 10, Haiku 4.5 wins 2, with 0 ties and an average score difference of +15.29.
Qwen3.6-27B
阿里巴巴 · 2026-04-22 · Reasoning model
Haiku 4.5
Anthropic · 2025-10-15 · Multimodal model
Qwen3.6-27B10 wins(83%)(17%)2 winsHaiku 4.5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 12 shared benchmarks.
Agent Level Benchmark
Even 2/2| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| τ²-Bench - Telecom | 93.6046 / 264Normal (With Tools) | 32.50204 / 264Normal (With Tools) | +61.10 |
| Terminal Bench Hard | 21.20145 / 244Normal (With Tools) | 27.30120 / 244Normal (With Tools) | -6.10 |
Multimodal Understanding
Qwen3.6-27B 2/2| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| MMMU-Pro | 71.70118 / 227Normal (No Tools) | 55.10188 / 227Normal (No Tools) | +16.60 |
| GDP.pdf | 1176 / 118Thinking (No Tools) | 3.8099 / 118Thinking (No Tools) | +7.20 |
Claw-style Agent Evaluation
Haiku 4.5 1/1| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| Claw Bench | 72.4027 / 29Thinking (With Tools) | 89.4011 / 29Thinking (With Tools) | -17 |
Coding and Software Engineer
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| SciCode | 42.8096 / 130Thinking (No Tools) | 42.2098 / 130Thinking (No Tools) | +0.60 |
General Evaluation
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| GPQA Diamond | 84.85159 / 462Normal (No Tools) | 60.50375 / 462Normal (No Tools) | +24.35 |
General Knowledge
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| LiveBench | 64.0354 / 117Normal (No Tools) | 45.33105 / 117Normal (No Tools) | +18.70 |
Instruction Following
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| IF Bench | 45.70177 / 282Normal (No Tools) | 42202 / 282Normal (No Tools) | +3.70 |
Long Context
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| AA-LCR | 66.70118 / 170Normal (No Tools) | 49.70139 / 170Normal (No Tools) | +17 |
Productivity Knowledge
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| Harvey Lab-AA | 82.3027 / 43Thinking (With Tools) | 61.0536 / 43Thinking (With Tools) | +21.25 |
Text Embedding
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Haiku 4.5 | Diff |
|---|---|---|---|
| Context Arena | 53.7882 / 126Normal (No Tools) | 17.68124 / 126Normal (No Tools) | +36.10 |
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 | 27B | Not available |
| Context length | 128K | 200K |
| Max output | 16K | 64K |
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 / 1M tokens |
| Text output | Not public | $5 / 1M tokens |
| Cache read | Not public | $0.1 / 1M tokens |
| Cache write | Not public | $1.25 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- Qwen3.6-27Bleads in:Multimodal Understanding (2/2), Coding and Software Engineer (1/1), General Evaluation (1/1), General Knowledge (1/1), Instruction Following (1/1), Long Context (1/1), Productivity Knowledge (1/1), Text Embedding (1/1)
- Haiku 4.5leads in:Claw-style Agent Evaluation (1/1)
- Tied in:Agent Level Benchmark
On average across the 12 shared benchmarks, Qwen3.6-27B scores 15.29 higher.
Largest single-benchmark gap: τ²-Bench - Telecom — Qwen3.6-27B 93.60 vs Haiku 4.5 32.50 (+61.10).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.