INTELLIGENCE
15.3
Media Cap quality axis
Anthropic · ProprietaryClaude 3.7 Sonnet
Active
Model portfolio
Claude 3.7 Sonnet
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Anthropic · Released 2025-02-24 · v2025-02-24 · Closed · Context 200K tokens
Language Cap
54
Cadle Language Cap 54 · 83%
Benchmark average
68.6
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
15.3
Coding
61.6
Agentic
50.0
MMLU
81.8
GPQA
68.0
Math
85.0
LiveCodeBench
39.4
HumanEval
No data yet
Reason
83.3
ARC-AGI
90.0
Coverage AVG
68.6
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.
CADLE INSIGHTS
Only measured signals
CODING
61.6
Media Cap quality axis
AGENTIC
50.0
Media Cap quality axis
MATH
85.0
Media Cap quality axis
STRONGEST SIGNAL
Intelligence
Cap axis 15.3
CONTEXT
200K
Provider context window (not max output)
CODING (MATRIX)
61.6
Model Matrix coding cell
AGENTIC
50.0
Tool-use / agentic matrix cell
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Cap Intelligence
- 58.9
- AA / Intel index
- 15.3
- Cap Coding
- 52.6
- Matrix Coding
- 61.6
DESCRIPTION + DETAILS
PROVIDER
Anthropic
RELEASE
2025-02-24
CONTEXT
200K tokens
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 Claude 3.7 Sonnet.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Anthropic |
| Release | 2025-02-24 |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | 200K tokens |
| Cadle Cap | 54 |
| Cap board | Cadle Language Cap 54 |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- Supabase models
- Cadle public observations
SOURCE TRACKING
Evidence linked to this model — listing, hub, benchmarks, or live gateway prices.
API
Anthropic listing
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
AA IQ15.3
Coding61.6
Agentic50
MMLU81.8
GPQA68
Math85
LiveCodeBench39.4
ARC-AGI90