Model comparison
Claude Haiku 5.5 vs Qwen3-Coder 480B-A35B Instruct
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 38.1 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Claude Haiku 5.5 scores higher in 4 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 37.6.
- Claude Haiku 5.5 is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Claude Haiku 5.5 accepts more context: 1M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 49.5 | 38.1 |
| Released | 2026-10-07 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.10 | $1.50 |
| Output $ / M tokens | $0.50 | $7.50 |
| Results tracked | 9 | 25 |
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Category by category
Coding Claude Haiku 5.5 leads
Claude Haiku 5.5: 49.2 (#50), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1587 | 1275 |
| SWE-bench Verified (bash only) | — | 55.4% |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| LMArena Coding | — | 1412 |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
Claude Haiku 5.5: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning Claude Haiku 5.5 leads
Claude Haiku 5.5: 35.2 (#69), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 65.7% | — |
| LMArena Hard Prompts | — | 1372 |
| Mystery Game Puzzles | 30% | — |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 75.1% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| LMArena Math | — | 1365 |
Knowledge Claude Haiku 5.5 leads
Claude Haiku 5.5: 50.8 (#70), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| GPQA Diamond | 89.6% | — |
| SimpleQA Verified | 23.8% | — |
| LMArena Expert | — | 1338 |
Multimodal Not comparable
Claude Haiku 5.5: 43.7 (#21), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Furniture Assembly | 47.5% | — |
Multilingual Not comparable
Claude Haiku 5.5: —, Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | — | 1346 |
| LMArena Chinese | — | 1357 |
| LMArena French | — | 1398 |
| LMArena German | — | 1325 |
| LMArena Japanese | — | 1310 |
| LMArena Korean | — | 1305 |
| LMArena Russian | — | 1366 |
| LMArena Spanish | — | 1360 |
Instruction Following Not comparable
Claude Haiku 5.5: —, Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1355 |
Long Context Not comparable
Claude Haiku 5.5: —, Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1378 |
Writing & Preference Not comparable
Claude Haiku 5.5: —, Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Claude Haiku 5.5 | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | — | 1357 |
| LMArena Creative Writing | — | 1333 |
| LMArena Multi-Turn | — | 1365 |
Frequently asked questions
Is Claude Haiku 5.5 better than Qwen3-Coder 480B-A35B Instruct?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 38.1 on the Noometry Index.
Which is cheaper, Claude Haiku 5.5 or Qwen3-Coder 480B-A35B Instruct?
Claude Haiku 5.5 is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Claude Haiku 5.5 or Qwen3-Coder 480B-A35B Instruct better for coding?
Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Claude Haiku 5.5 does, with 1M tokens against 262K.
How many benchmarks do Claude Haiku 5.5 and Qwen3-Coder 480B-A35B Instruct share?
1 benchmark has published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.