INTELLIGENCE
13.8
Media Cap quality axis
OpenAI · ProprietaryOpenAI: GPT-4o-mini
Active
Model portfolio
OpenAI: GPT-4o-mini
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OpenAI · Released 2024-07-18 · v2024-07-18 · Closed · Context 128K tokens
Language Cap
18
Cadle Language Cap 18 · 84%
Benchmark average
41.0
Not enough benchmark results yet
Pricing
$0.15
$0.60 / 1M out · 16.4 pts/$
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
26.6
Intelligence
6.7
Coding
11.4
Agentic
5.6
MMLU
75.7
GPQA
42.6
Math
76.4
LiveCodeBench
23.4
HumanEval
87.2
Reason
32.8
ARC-AGI
No data yet
Coverage AVG
41.0
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
CODING
11.4
Media Cap quality axis
AGENTIC
5.6
Media Cap quality axis
MATH
76.4
Media Cap quality axis
MATRIX OVERALL
26.6
AVG 41.0 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 13.8
BLENDED $/1M
$0.75
In $0.15 · Out $0.60
VALUE INDEX
35.5
Quality ÷ blended $/1M (higher is better)
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Overall (Matrix)
- 26.6
- Cap Intelligence
- 12.3
- Cadle Intelligence
- 6.7
- Cap Coding
- 6.3
- Matrix Coding
- 11.4
- Input $/1M
- $0.15
- Output $/1M
- $0.60
- Value pts/$
- 16.36
DESCRIPTION + DETAILS
PROVIDER
OpenAI
RELEASE
2024-07-18
CONTEXT
128K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
4.5
2 notes indexed
SUBMIT OPERATOR NOTE
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Topic:
5 - Frontier benchmark
Stored locally · synced to your profile
I
Inference Operator
VerifiedOct 23, 2026
Tested OpenAI: GPT-4o-mini 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 OpenAI: GPT-4o-mini 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 | 2024-07-18 |
| Input / 1M | $0.15 |
| Output / 1M | $0.60 |
| Context | 128K tokens |
| Cadle Cap | 18 |
| Cap board | Cadle Language Cap 18 |
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.
Overall26.6
AA IQ6.7
Coding11.4
Agentic5.6
MMLU75.7
GPQA42.6
Math76.4
LiveCodeBench23.4
HumanEval87.2