INTELLIGENCE
15.4
Media Cap quality axis
Model portfolio
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Anthropic · Released 2025-10-15 · v2025-10-15 · Closed · Context 200K tokens
Language Cap
47
Cadle Language Cap 47 · 99%
Benchmark average
No data yet
Not enough benchmark results yet
Pricing
$1.00
$5.00 / 1M out · 9.9 pts/$
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
50.6
Coding
51.1
Agentic
No data yet
MMLU
No data yet
GPQA
No data yet
Math
39.0
LiveCodeBench
No data yet
HumanEval
No data yet
Reason
No data yet
ARC-AGI
No data yet
Coverage AVG
45.2
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
INTELLIGENCE
15.4
Media Cap quality axis
CODING
51.1
Media Cap quality axis
AGENTIC
32.5
Media Cap quality axis
MATH
39.0
Media Cap quality axis
STRONGEST SIGNAL
Intelligence
Cap axis 15.4
BLENDED $/1M
$6.00
In $1.00 · Out $5.00
VALUE INDEX
7.5
Quality ÷ blended $/1M (higher is better)
CONTEXT
200K
Provider context window (not max output)
Measured matrix and verified gateway observations only.
PROVIDER
Anthropic
RELEASE
2025-10-15
CONTEXT
200K tokens
STATUS
ACTIVE
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
2 notes indexed
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Stored locally · synced to your profile
Inference Operator
VerifiedOct 24, 2026
Tested Claude 4.5 Haiku (Non-reasoning) on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Autonomous Agent Lead
VerifiedOct 20, 2026
Evaluated Claude 4.5 Haiku (Non-reasoning) 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 | 2025-10-15 |
| Input / 1M | $1.00 |
| Output / 1M | $5.00 |
| Context | 200K tokens |
| Cadle Cap | 47 |
| Cap board | Cadle Language Cap 47 |
Scores may use different scales — check the Benchmarks tab for source links.
Evidence linked to this model — listing, hub, benchmarks, or live gateway prices.
API
Anthropic listing
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.