Model comparison
Claude Opus 4.5 vs Qwen3.5-9B
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 33.3 on the Noometry Index. Qwen3.5-9B costs 89× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Last verified . 7 shared benchmarks.
Alibaba (Qwen)Summary
- They share 7 benchmarks with published results for both. Claude Opus 4.5 scores higher in 5 categories and Qwen3.5-9B in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Claude Opus 4.5 leads 47.2 to 14.4.
- The biggest single-benchmark swing is Terminal-Bench: 63.1% for Claude Opus 4.5 and 9.2% for Qwen3.5-9B.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
- Qwen3.5-9B accepts more context: 262K tokens versus 200K.
- Qwen3.5-9B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.5 | Qwen3.5-9B | |
|---|---|---|
| Provider | Anthropic | Alibaba (Qwen) |
| Noometry Index | 50.5 | 33.3 |
| Released | 2025-11-01 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 64K | 66K |
| Input $ / M tokens | $5 | $0.10 |
| Output $ / M tokens | $25 | $0.15 |
| Results tracked | 69 | 10 |
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Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 55.4 (#21), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| LMArena WebDev | 1493 | — |
| SWE-bench Multilingual | 70.7% | — |
| SciCode | — | 27.5% |
| GSO | 26.5% | — |
| WeirdML | 63.7% | — |
| LMArena Coding | 1504 | — |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |
Agentic & Tool Use Claude Opus 4.5 leads
Claude Opus 4.5: 47.2 (#11), Qwen3.5-9B: 14.4 (#143)
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | 63.1% | 9.2% |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| BALROG | 43.5% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
| Vending-Bench 2 | 4,967 | — |
Reasoning Claude Opus 4.5 leads
Claude Opus 4.5: 42.5 (#43), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| Chess Puzzles | 12% | 12% |
| DTBench | 89.9% | 71.2% |
| LMCA | 44.5% | 24.5% |
| Epoch Capabilities Index | 150.1 | 139.45 |
| ARC-AGI-2 | 37.6% | — |
| SimpleBench | 62% | — |
| Kagi LLM Benchmark | 80.2% | — |
| NYT Connections (extended) | 52.5% | — |
| ARC-AGI-1 | 80% | — |
| CritPt | — | 0.3% |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
| LMArena Hard Prompts | 1476 | — |
| Mystery Game Puzzles | 22% | — |
| ForecastBench | 60.7 | — |
Math Claude Opus 4.5 leads
Claude Opus 4.5: 38.5 (#85), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 86.1% | 61.7% |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| FrontierMath Tier 4 | 4.9% | — |
| MathArena Final-Answer Competitions | — | 48.5% |
| ProofBench | 36% | — |
| LMArena Math | 1463 | — |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4.5 leads
Claude Opus 4.5: 56.4 (#38), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 86% | 79% |
| Humanity's Last Exam | 25.2% | — |
| SimpleQA Verified | 45.7% | — |
| Vectara Hallucination Rate | 10.9% | — |
| LMArena Expert | 1488 | — |
Multimodal Not comparable
Claude Opus 4.5: 31.1 (#99), Qwen3.5-9B: —
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
Multilingual Not comparable
Claude Opus 4.5: 54.5 (#45), Qwen3.5-9B: —
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1470 | — |
| LMArena French | 1471 | — |
| LMArena German | 1449 | — |
| LMArena Japanese | 1415 | — |
| LMArena Korean | 1424 | — |
| LMArena Russian | 1448 | — |
| LMArena Spanish | 1455 | — |
Instruction Following Not comparable
Claude Opus 4.5: 77.7 (#20), Qwen3.5-9B: —
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1478 | — |
Long Context Not comparable
Claude Opus 4.5: 46.4 (#21), Qwen3.5-9B: —
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| CL-bench | 21.1% | — |
| LMArena Longer Query | 1480 | — |
Writing & Preference Not comparable
Claude Opus 4.5: 68.2 (#28), Qwen3.5-9B: —
| Benchmark | Claude Opus 4.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1451 | — |
| LMArena Creative Writing | 1445 | — |
| EQ-Bench Creative Writing | 1687 | — |
| LMArena Multi-Turn | 1466 | — |
Frequently asked questions
Is Claude Opus 4.5 better than Qwen3.5-9B?
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 33.3 on the Noometry Index. Qwen3.5-9B costs 89× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.5 or Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Claude Opus 4.5 lists at $5 and $25.
Is Claude Opus 4.5 or Qwen3.5-9B better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 55.4 versus 35.3 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 200K.
How many benchmarks do Claude Opus 4.5 and Qwen3.5-9B share?
7 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Qwen3.5-9B has 10.