Matrix overall
100.0
AVG 40.9 across matrix cells
ActiveModel portfolio
o3
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OpenAI · Released 2025-04-16 · v2025-04-16 · Closed · Context 200K tokens
Cadle Score
146.7
#62 in index
Benchmark average
—
Not enough benchmark results yet
Pricing
$2.00
$8.00 / 1M out · 10.0 pts/$
MODEL MATRIX · TRUTH CENTER CELLS
Overall
100.0
Intelligence
100.0
Coding
40.9
Reasoning
—
Language
—
Knowledge
—
Agentic
—
MMLU
—
GPQA
—
Math
—
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
40.9
Pillar Coverage:2 / 7 Core Pillars (29%)
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.
CADLE INSIGHTS
Only measured signals
Benchmark avg
93.8
2 tracked scores
Strongest signal
epoch-eci
Score 146.7
Blended $/1M
$10.00
In $2.00 · Out $8.00
Value index
10.0
Quality ÷ blended $/1M (higher is better)
Context
200K
Provider context window (not max output)
Coding (matrix)
40.9
Model Matrix coding cell
Intel index
100.0
Matrix AA IQ cell
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Cadle Score
- 146.7
- Overall (Matrix)
- 100.0
- Cadle Intelligence
- 100.0
- Matrix Coding
- 40.9
- Input $/1M
- $2.00
- Output $/1M
- $8.00
- Value pts/$
- 10.00
DESCRIPTION + DETAILS
PROVIDER
OpenAI
RELEASE
2025-04-16
CONTEXT
200K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
Community Reviews & Field Notes
Verified EngineersReal operator evaluations, prompt robustness observations, and deployment notes for o3.
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 o3 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 o3 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 | OpenAI |
| Release | 2025-04-16 |
| Input / 1M | $2.00 |
| Output / 1M | $8.00 |
| Context | 200K tokens |
| Cadle Cap | 147 |
| Cap board | Cadle Language Cap 147 |
| aider-polyglot | 40.9 |
| epoch-eci | 146.7 |
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
OpenAI listing
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Overall100
AA IQ100
Coding40.9