OpenAI: o4 Mini
openai/o4-mini
Cheapest provider
$1.10 / 1M
OpenAI
Fastest provider (p95)
—
No throughput data yet — populated as traffic accumulates
Intelligence (composite)
82.0
MMLU-Pro · HumanEval · math · GPQA
Per-provider performance
Latency / throughput / uptime / price measured across providers over the last 30 minutes of live traffic. This is what proves “sourced cheapest” — Atlas mode draws on these per call to serve the cheapest path that holds quality.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| OpenAI | full· unknown | $1.1000 | $4.4000 | — | — | 100.00% | — |
“—” means live telemetry hasn’t accumulated enough recent traffic for that endpoint. “undisclosed” means the provider serves the model but doesn’t expose the quantization label (typically running fp8 / int8 internally).
Intelligence breakdown
Composite score is a weighted average of public benchmarks (30% MMLU-Pro, 25% code pass@1, 25% math, 20% GPQA). Numbers come from model cards and the Artificial Analysis intelligence harness; missing components are renormalised over what’s present.
MMLU-Pro
81.9
broad reasoning
Code
71.8
pass@1 (HumanEval / LiveCodeBench)
AIME 2025
92.7
math accuracy
GPQA Diamond
81.4
hard reasoning
Source: OpenAI o4-mini (MMLU-Pro 81.9, GPQA 81.4, LiveCodeBench v6 71.8, AIME25 92.7); Qwen3-235B-A22B-Thinking-2507 comparison table
How Atlas mode sources OpenAI: o4 Mini
- Strict mode — pin OpenAI: o4 Mini exactly and we pass it straight through, sourced from the cheapest provider above. The same model, no substitutions — currently OpenAI at $1.10/1M.
- Atlas mode — the default. Each call is auto-optimized for the cheapest path that holds quality, at least 5% off going direct from call one and climbing as it ramps. You always see which model served the call and exactly what you saved — thumbs-down anything you don’t like for a full refund.