INTELLIGENCE
16.6
Media Cap quality axis
Anthropic · Proprietaryanthropic/claude-4-opus
Active
Model portfolio
anthropic/claude-4-opus
Tap a star to rate
Anthropic · Released 2025-05-22 · v2025-05-22 · Closed · Context 200K tokens
Language Cap
53
Cadle Language Cap 53 · 69%
Benchmark average
66.2
Not enough benchmark results yet
Pricing
$16.50
$82.50 / 1M out · 0.6 pts/$
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
16.6
Coding
72.5
Agentic
No data yet
MMLU
86.7
GPQA
72.5
Math
64.0
LiveCodeBench
54.2
HumanEval
No data yet
Reason
47.0
ARC-AGI
No data yet
Coverage AVG
66.2
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.
CADLE INSIGHTS
Only measured signals
CODING
72.5
Media Cap quality axis
MATH
64.0
Media Cap quality axis
KNOWLEDGE
77.4
Media Cap quality axis
STRONGEST SIGNAL
Intelligence
Cap axis 16.6
BLENDED $/1M
$99.00
In $16.50 · Out $82.50
VALUE INDEX
0.7
Quality ÷ blended $/1M (higher is better)
CONTEXT
200K
Provider context window (not max output)
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Cap Intelligence
- 61.7
- Cadle Intelligence
- 16.6
- Cap Coding
- 71.9
- Matrix Coding
- 72.5
- Input $/1M
- $16.50
- Output $/1M
- $82.50
- Value pts/$
- 0.62
DESCRIPTION + DETAILS
PROVIDER
Anthropic
RELEASE
2025-05-22
CONTEXT
200K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
4.5
2 notes indexed
SUBMIT OPERATOR NOTE
Tap a star to rate
Topic:
5 - Frontier benchmark
Stored locally · synced to your profile
I
Inference Operator
VerifiedOct 23, 2026
Tested anthropic/claude-4-opus on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
A
Autonomous Agent Lead
VerifiedOct 19, 2026
Evaluated anthropic/claude-4-opus on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Anthropic |
| Release | 2025-05-22 |
| Input / 1M | $16.50 |
| Output / 1M | $82.50 |
| Context | 200K tokens |
| Cadle Cap | 53 |
| Cap board | Cadle Language Cap 53 |
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 IQ16.6
Coding72.5
MMLU86.7
GPQA72.5
Math64
LiveCodeBench54.2