Model comparison
Claude Haiku 4.5 vs Qwen3 Max
Qwen3 Max is the stronger model overall, scoring 43.7 to 39.5 on the Noometry Index.
Last verified . 28 shared benchmarks.
Summary
- They share 28 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 3 categories and Qwen3 Max in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3 Max leads 48.1 to 37.7.
- The biggest single-benchmark swing is SimpleQA Verified: 13.2% for Claude Haiku 4.5 and 48.7% for Qwen3 Max.
- Claude Haiku 4.5 is cheaper at $1 / $5 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
- Qwen3 Max accepts more context: 262K tokens versus 200K.
Side by side
| Claude Haiku 4.5 | Qwen3 Max | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 39.5 | 43.7 |
| Released | 2025-10-15 | 2025-09-23 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 262K |
| Max output | 64K | 66K |
| Input $ / M tokens | $1 | $1.20 |
| Output $ / M tokens | $5 | $6 |
| Results tracked | 53 | 33 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Qwen3 Max: 43.0 (#93)
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| LMArena Coding | 1453 | 1456 |
| ALE-Bench | 653.48 | 370.45 |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.6 (#52), Qwen3 Max: —
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| Vending-Bench 2 | 458.89 | 71.56 |
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
Reasoning Qwen3 Max leads
Claude Haiku 4.5: 15.1 (#320), Qwen3 Max: 22.6 (#190)
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| NYT Connections (extended) | 14.3% | 30.1% |
| Chess Puzzles | 8% | 4% |
| LMArena Hard Prompts | 1420 | 1448 |
| DTBench | 73.6% | 82.1% |
| LMCA | 30.9% | 28.3% |
| Epoch Capabilities Index | 142.41 | 142.38 |
| ARC-AGI-2 | 4% | — |
| Kagi LLM Benchmark | — | 72.5% |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Mystery Game Puzzles | — | 5% |
| ForecastBench | 61.4 | — |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.9 (#78), Qwen3 Max: 38.7 (#131)
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 73.3% |
| LMArena Math | 1396 | 1446 |
| MATH Level 5 | 96.4% | 97.1% |
| FrontierMath (Tiers 1-3) | — | 18.9% |
| Omni-MATH | 56.1% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Qwen3 Max leads
Claude Haiku 4.5: 37.7 (#153), Qwen3 Max: 48.1 (#78)
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| GPQA Diamond | 71.2% | 72.6% |
| SimpleQA Verified | 13.2% | 48.7% |
| LMArena Expert | 1442 | 1455 |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Qwen3 Max: —
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Qwen3 Max leads
Claude Haiku 4.5: 49.9 (#129), Qwen3 Max: 53.7 (#62)
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| LMArena Non-English | 1377 | 1429 |
| LMArena Chinese | 1417 | 1478 |
| LMArena French | 1408 | 1449 |
| LMArena German | 1375 | 1463 |
| LMArena Japanese | 1339 | 1397 |
| LMArena Korean | 1347 | 1399 |
| LMArena Russian | 1381 | 1428 |
| LMArena Spanish | 1420 | 1462 |
Instruction Following Qwen3 Max leads
Claude Haiku 4.5: 71.4 (#149), Qwen3 Max: 74.8 (#87)
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| LMArena Instruction Following | 1414 | 1419 |
| IFEval | 80.1% | — |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Qwen3 Max: 41.6 (#134)
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| LMArena Longer Query | 1427 | 1438 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 14.5% |
Writing & Preference Qwen3 Max leads
Claude Haiku 4.5: 57.9 (#123), Qwen3 Max: 62.4 (#76)
| Benchmark | Claude Haiku 4.5 | Qwen3 Max |
|---|---|---|
| LMArena Text | 1396 | 1439 |
| LMArena Creative Writing | 1372 | 1402 |
| LMArena Multi-Turn | 1409 | 1446 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Qwen3 Max?
Qwen3 Max is the stronger model overall, scoring 43.7 to 39.5 on the Noometry Index.
Which is cheaper, Claude Haiku 4.5 or Qwen3 Max?
Claude Haiku 4.5 is cheaper. It lists at $1 per million input tokens and $5 per million output tokens; Qwen3 Max lists at $1.20 and $6.
Is Claude Haiku 4.5 or Qwen3 Max better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 43.0 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Max does, with 262K tokens against 200K.
How many benchmarks do Claude Haiku 4.5 and Qwen3 Max share?
28 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Qwen3 Max has 33.