Meta · Open weightsLlama 3.2 Instruct 11B (Vision)
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Llama 3.2 Instruct 11B (Vision)
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Meta · Released 2024-09-25 · v2024-09-25 · Open
ACTIVETextCodeReasoning
Language Cap
21
Cadle Language Cap 21 · 59%
Benchmark average
38.5
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
5.4
Coding
No data yet
Agentic
76.0
MMLU
46.4
GPQA
22.1
Math
51.6
LiveCodeBench
11.0
HumanEval
No data yet
Reason
30.4
ARC-AGI
No data yet
Coverage AVG
38.5
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.