Intelligence
5.0
Media Cap quality axis
ActiveModel portfolio
Claude Instant
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Anthropic · Released 2023-03-14 · v2023-03-14 · Closed · Context 200K tokens
Cadle Score
120.2
#100 in index
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
MODEL MATRIX · TRUTH CENTER CELLS
Overall
45.0
Intelligence
45.0
Coding
10.9
Reasoning
—
Language
—
Knowledge
—
Agentic
—
MMLU
—
GPQA
—
Math
56.5
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
33.1
Pillar Coverage:3 / 7 Core Pillars (43%)
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
7.8
Media Cap quality axis
Math
26.4
Media Cap quality axis
Knowledge
40.2
Media Cap quality axis
Matrix overall
45.0
AVG 33.1 across matrix cells
Benchmark avg
120.2
1 tracked scores
Strongest signal
epoch-eci
Score 120.2
Blended $/1M
Unlisted
No published list price
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Cadle Score
- 120.2
- Overall (Matrix)
- 45.0
- Cap Intelligence
- 4.5
- Cadle Intelligence
- 45.0
- Cap Coding
- 3.6
- Matrix Coding
- 10.9
DESCRIPTION + DETAILS
PROVIDER
Anthropic
RELEASE
2023-03-14
CONTEXT
200K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
Community Reviews & Field Notes
Verified EngineersReal operator evaluations, prompt robustness observations, and deployment notes for Claude Instant.
4.5(2)
Leave a Field Observation
Rating:5 - Frontier benchmark
Role:
Tag topic:
Reviews are publicly visible to the engineering community.
Inference OperatorProduction Deployer Verified
Oct 31, 2026
Tested Claude Instant on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Autonomous Agent LeadEval Maintainer Verified
Oct 27, 2026
Evaluated Claude Instant 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 | 2023-03-14 |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | 200K tokens |
| Cadle Cap | 120 |
| Cap board | Cadle Language Cap 120 |
| epoch-eci | 120.2 |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- Supabase models
- Cadle public observations
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Overall45
AA IQ45
Coding10.9
Math56.5