CADLE CAP
96
Cadle #9/385 · 86% confidence
Anthropic · ProprietaryAnthropic: Claude Opus 4.8
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Anthropic: Claude Opus 4.8
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Anthropic · Released 2026-05-27 · Closed · Context 1M tokens
Anthropic: Claude Opus 4.8 is a closed model from Anthropic (released 2026-05-27). Context window ~1M tokens with capabilities: Vision, Reasoning, Text. List pricing ≈ $5.00 / $25.00 per 1M input/output tokens. Top tracked signals: ARC · livebench 100.0, MATH · epoch 98.3, MATH 97.1. Cadle merges provider listings, unified leaderboard medians, and public pricing where available.
Language Cap
96
Cadle Language #9/385 · 86%
Benchmark average
85.0
#31 on the benchmark matrix
Pricing
$5.00
$25.00 / 1M out · 3.1 pts/$
CROSS-BOARD RANKS
Cadle Language LLM #9/385Matrix #31/443BenchLM #17/224AA #58/698
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
69.7
AA IQ
41.8
Coding
80.3
Agentic
94.4
MMLU
89.6
GPQA
92.0
Math
97.1
LiveCodeBench
71.1
HumanEval
—
Reason
92.5
ARC-AGI
72.1
Coverage AVG
85.0
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
INTELLIGENCE
51.8
Media Cap quality axis
CODING
80.3
Media Cap quality axis
AGENTIC
94.4
Media Cap quality axis
MATH
97.1
Media Cap quality axis
MATRIX OVERALL
69.7
AVG 85.0 across matrix cells
BENCHMARK AVG
80.4
31 tracked scores
STRONGEST SIGNAL
ARC · livebench
Score 100.0
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Overall (Matrix)
- 69.7
- Cap Intelligence
- 91.9
- AA / Intel index
- 41.8
- Cap Coding
- 93.3
- Matrix Coding
- 80.3
- Speed tok/s
- 0
- Latency
- —
- Input $/1M
- $5.00
- Output $/1M
- $25.00
- Value pts/$
- 3.06
DESCRIPTION + DETAILS
Anthropic: Claude Opus 4.8 is a closed model from Anthropic (released 2026-05-27). Context window ~1M tokens with capabilities: Vision, Reasoning, Text. List pricing ≈ $5.00 / $25.00 per 1M input/output tokens. Top tracked signals: ARC · livebench 100.0, MATH · epoch 98.3, MATH 97.1. Cadle merges provider listings, unified leaderboard medians, and public pricing where available.
PROVIDER
Anthropic
RELEASE
2026-05-27
CONTEXT
1M tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — not marketing copy.
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MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Anthropic |
| Release | 2026-05-27 |
| Input / 1M | $5.00 |
| Output / 1M | $25.00 |
| Context | 1M tokens |
| Cadle Cap | 96 |
| Cap board | Cadle Language #9/385 |
| ARC · livebench | 100.0 |
| MATH · epoch | 98.3 |
| MATH | 97.1 |
| MATH · livebench | 97.1 |
| MATH · benchlm | 96.7 |
| AGENTIC · artificial-analysis | 94.4 |
| AGENTIC | 94.4 |
| AGENTIC · benchlm | 94.4 |
| GPQA · benchlm | 93.6 |
| ARC | 92.5 |
| ARC · benchlm | 92.5 |
| GPQA | 92.0 |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- OpenRouter / provider APIs (pricing & context)
- Hugging Face Hub (downloads & cards)
- Papers With Code (task benchmarks)
- BenchLM.ai (category rollups + atomic benches)
- Epoch AI Benchmarking Hub (ECI + ZIP CSVs)
- LiveCodeBench (generation / execution / repair / test-output)
- Artificial Analysis (intelligence / indexes)
- LLM Stats (leaderboard + rankings)
- Cadle unified median (equal-weight multi-source)
- Artificial Analysis — throughput, latency, and $/M token snapshots
- Cadle unified matrix — importance-weighted multi-source category scores
- Epoch AI Benchmarking Hub — capability CSV exports (when synced)
SOURCE TRACKING
Evidence linked to this model — listing, hub, benchmarks, or live gateway prices.
API
Artificial Analysis
API
OpenRouter
COMMUNITY
Papers with Code
COMMUNITY
BenchLM
COMMUNITY
unified-median
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Overall69.7
AA IQ41.8
Coding80.3
Agentic94.4
MMLU89.6
GPQA92
Math97.1
LiveCodeBench71.1
ARC-AGI72.1
AA Index41.8