Alibaba · Open weightsQwen3 235B A22b Instruct 2507 Fp8
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Model portfolio
Qwen3 235B A22b Instruct 2507 Fp8
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Alibaba · Open · Context 262K tokens
ACTIVEText
Language Cap
45
Cadle Language Cap 45 · 82%
Benchmark average
56.9
Not enough benchmark results yet
Pricing
$0.20
$0.60 / 1M out · 60.5 pts/$
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
12.0
Coding
4.7
Agentic
42.7
MMLU
82.8
GPQA
75.3
Math
98.0
LiveCodeBench
52.4
HumanEval
No data yet
Reason
46.0
ARC-AGI
No data yet
Coverage AVG
56.9
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.