Which is better, Claude Opus 4.5 or Qwen3.6 35B A3B?

Across 50 shared benchmarks tracked on Vector Wire, Claude Opus 4.5 leads on 36 and Qwen3.6 35B A3B leads on 14 — Claude Opus 4.5 leads on more. Strengths differ by axis; the table below shows every head-to-head number with provenance.

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Claude Opus 4.5 vs Qwen3.6 35B A3B

AnthropicvsAlibaba50 shared benchmarks36–14 head-to-head

Benchmark	Claude Opus 4.5	Qwen3.6 35B A3B
AA Agentic Index	59.6	21.6
AA Intelligence	41.9	32.1
AA-LCR	76	66.7
AA-Omniscience	14	-22.2
aime_2026	95.1	92.7
Artificial Analysis Coding Index	47.8	41.9
browsecomp	37	48.7
C-Eval	92.2	90
CC-OCR	76.9	81.9
charxiv_rq	68.5	78
Claw Eval (pass@3)	59.6	50
Claw-Eval Avg	76.6	68.7
critpt	4.6	0.3
gdpval	47.3	27.8
GPQA Diamond	87	86
HLE	30.8	22.2
hmmt_feb_2025	92.9	90.7
hmmt_feb_2026	85.3	83.6
hmmt_nov_2025	93.3	89.1
IFBench	58	64.4
imo_answer_bench	84	78.9
LiveCodeBench v6	84.8	80.4
MathVista	80.2	86.4
MCP Atlas	69.8	62.8
MLVU	81.7	86.2
mmlu_redux	95.6	93.3
MMLU-Pro	90	85.6
MMMU	80.7	81.7
MMMU-Pro	74	75.3
MV-Bench	67.2	74.6
nl2repo	43.2	29.4
OmniDocBench 1.5	87.7	89.9
OmniScience Accuracy	46.6	18.8
OmniScience Non-Hallucination	39	49.5
QwenClawBench	52.3	52.6
QwenWebBench	1536	1397
RealWorldQA	77	85.3
scicode	50	35.8
SimpleVQA	69.7	58.9
SkillsBench Avg5	45.3	28.7
supergpqa	70.6	64.7
SWE-bench Multilingual	77.5	67.2
SWE-bench Pro	57.1	49.5
SWE-bench Verified	81.5	73.4
Terminal-Bench 2.0	59.3	51.5
Terminal-Bench Hard	47	34.8
tool_decathlon	43.5	26.9
toolathlon	43.5	26.9
VideoMMMU	84.4	83.7
τ²-Bench Telecom (AA run)	89.5	95.3

Best tracked score per model per benchmark (default configuration; source-attributed). ↓ marks lower-is-better metrics. Open either model for its full surface, provenance and pricing.