Benchmark avg
47.1
5 tracked scores
ActiveModel portfolio
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Anthropic · Closed · Context 200K tokens
Cadle Score
143.2
#103 in index
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
MODEL MATRIX · TRUTH CENTER CELLS
Overall
—
Intelligence
—
Coding
—
Reasoning
22.9
Language
81.4
Knowledge
—
Agentic
62.0
MMLU
—
GPQA
—
Math
—
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
22.9
Coverage AVG
40.4
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.
Only measured signals
Benchmark avg
47.1
5 tracked scores
Strongest signal
lech-mazur-writing
Score 81.4
Blended $/1M
Unlisted
No published list price
Context
200K
Provider context window (not max output)
Agentic
62.0
Tool-use / agentic matrix cell
Measured matrix and verified gateway observations only.
PROVIDER
Anthropic
CONTEXT
200K tokens
STATUS
ACTIVE
Real operator evaluations, prompt robustness observations, and deployment notes for claude-sonnet-4-20250514_16K.
Tested claude-sonnet-4-20250514_16K on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Evaluated claude-sonnet-4-20250514_16K on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
| Metric | |
|---|---|
| Provider | Anthropic |
| Release | |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | 200K tokens |
| Cadle Cap | 143 |
| Cap board | Cadle Language Cap 143 |
| arc-agi-2 | 5.9 |
| arc-agi | 40.0 |
| lech-mazur-writing | 81.4 |
| metr-time-horizons | 62.0 |
| weirdml | 46.1 |
Scores may use different scales — check the Benchmarks tab for source links.
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Source: Epoch AI (CC BY 4.0) · LMArena (CC BY 4.0) · as of 2026-11-03 · All credits