MMMU
63.2
Media Cap quality axis
Shanghai AI Lab · ProprietaryInternVL2.5-38B
Active
Model portfolio
InternVL2.5-38B
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Shanghai AI Lab · Closed
Vision Cap
87
Cadle Vision Cap 87 · 96%
Benchmark average
No data yet
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.
CADLE INSIGHTS
Only measured signals
MATHVISTA
72.4
Media Cap quality axis
OCRBENCH
84.1
Media Cap quality axis
AI2D
87.6
Media Cap quality axis
STRONGEST SIGNAL
MMMU
Cap axis 63.2
DESCRIPTION + DETAILS
PROVIDER
Shanghai AI Lab
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — not marketing copy.
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First review sets the tone for how teams evaluate InternVL2.5-38B.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Shanghai AI Lab |
| Release | |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | No data yet |
| Cadle Cap | 87 |
| Cap board | Cadle Vision Cap 87 |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- Supabase models
- Cadle public observations