Model comparison
Claude Opus 4.5 Thinking vs Qwen2.5-VL-32B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.5 Thinking #69 (Estimated); Qwen2.5-VL-32B #175 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.5 Thinking and Qwen2.5-VL-32B share 0 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to Claude Opus 4.5 Thinking; 0 to Qwen2.5-VL-32B.
Updated July 23, 2026- Shared results
- 0
- Claude Opus 4.5 Thinking only
- 16
- Qwen2.5-VL-32B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.5 Thinking and Qwen2.5-VL-32B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Qwen2.5-VL-32B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Claude Opus 4.5 Thinking has the larger context window at 200K, compared with 32K for Qwen2.5-VL-32B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.5 Thinking | Qwen2.5-VL-32B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.5 ThinkingNot available | Qwen2.5-VL-32B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.5 ThinkingNot available | Qwen2.5-VL-32BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.5 ThinkingNot available | Qwen2.5-VL-32BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.5 Thinking200K | Qwen2.5-VL-32B32K | Claude Opus 4.5 Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Qwen2.5-VL-32B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 89.5% | — | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Qwen2.5-VL-32B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.8% | — | Not comparable |
| AA-GPQA DiamondSource | 86.6% | — | Not comparable |
| AA-HLESource | 28.4% | — | Not comparable |
| AA-Omniscience IndexSource | 13.3% | — | Not comparable |
| AA-Omniscience AccuracySource | 45.7% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 59.8% | — | Not comparable |
| AA MMLU-ProSource | 89.5% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Qwen2.5-VL-32B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 91.3% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Qwen2.5-VL-32B | Result |
|---|---|---|---|
| AA-IFBenchSource | 58.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.5 Thinking and Qwen2.5-VL-32B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Opus 4.5 Thinking and Qwen2.5-VL-32B today?
Qwen2.5-VL-32B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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