INTELLIGENCE
21.7
Media Cap quality axis
OpenAI · ProprietaryOpenAI: GPT-5 Nano
Active
Model portfolio
OpenAI: GPT-5 Nano
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OpenAI · Released 2025-08-07 · v2025-08-07 · Closed · Context 400K tokens
Language Cap
35
Cadle Language Cap 35 · 89%
Benchmark average
50.8
Not enough benchmark results yet
Pricing
$0.050
$0.40 / 1M out · 96.5 pts/$
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
37.2
Intelligence
13.0
Coding
21.2
Agentic
36.5
MMLU
78.0
GPQA
64.7
Math
89.5
LiveCodeBench
78.9
HumanEval
No data yet
Reason
56.0
ARC-AGI
2.6
Coverage AVG
50.8
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
21.2
Media Cap quality axis
AGENTIC
36.5
Media Cap quality axis
MATH
89.5
Media Cap quality axis
MATRIX OVERALL
37.2
AVG 50.8 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 21.7
BLENDED $/1M
$0.45
In $0.050 · Out $0.40
VALUE INDEX
82.7
Quality ÷ blended $/1M (higher is better)
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Overall (Matrix)
- 37.2
- Cap Intelligence
- 43.4
- AA / Intel index
- 13.0
- Cap Coding
- 14.2
- Matrix Coding
- 21.2
- Input $/1M
- $0.050
- Output $/1M
- $0.40
- Value pts/$
- 96.47
DESCRIPTION + DETAILS
PROVIDER
OpenAI
RELEASE
2025-08-07
CONTEXT
400K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — not marketing copy.
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First review sets the tone for how teams evaluate OpenAI: GPT-5 Nano.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | OpenAI |
| Release | 2025-08-07 |
| Input / 1M | $0.05 |
| Output / 1M | $0.40 |
| Context | 400K tokens |
| Cadle Cap | 35 |
| Cap board | Cadle Language Cap 35 |
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.
Overall37.2
AA IQ13
Coding21.2
Agentic36.5
MMLU78
GPQA64.7
Math89.5
LiveCodeBench78.9
ARC-AGI2.6