Alibaba · Open weightsQwen3-VL-235B-A22B-Instruct-FP8
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Model portfolio
Qwen3-VL-235B-A22B-Instruct-FP8
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Alibaba · Open · Context 262K tokens
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Language Cap
33
Cadle Language Cap 33 · 65%
Benchmark average
54.7
Not enough benchmark results yet
Pricing
Unlisted
no list price
CADLE CAP vs MODEL MATRIX
Cadle Cap ranks models on every published score we have for them — harder benchmarks weigh more. Missing tests are skipped, not zeroed. It answers who is stronger than whom in today's pool.
Model Matrix is the datasheet: Overall, Intelligence, Coding, Agentic, MMLU, GPQA, Math, LiveCodeBench, HumanEval, Reason, ARC-AGI. A dash means unmeasured. AVG is an importance-weighted mean of that model's filled cells only.
MODEL MATRIX · TRUTH CENTER CELLS
Overall
No data yet
Intelligence
9.9
Coding
23.2
Agentic
35.1
MMLU
82.3
GPQA
71.2
Math
70.7
LiveCodeBench
59.4
HumanEval
No data yet
Reason
42.6
ARC-AGI
No data yet
Coverage AVG
54.7
Cadle Cap ranks models with within-benchmark percentiles so ARC-AGI ~40 and MMLU ~90 never compete raw. Coverage AVG is an importance-weighted mean of filled expert cells only — blanks are skipped, not zeroed.
ANALYSIS · TRUTH CENTER
Hard benches (GPQA · ARC-AGI · LCB · Agentic) sit left — a mid-40 on ARC-AGI can still be frontier. Broader benches on the right are easier and often higher.