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 measured across providers over the last 30 minutes of live traffic. Atlas’s router weighs these per call (with the eval-gate signal) when picking a variant for Standard and Batch tiers.
| 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 routes OpenAI: o4 Mini
- Realtime tier — direct passthrough at the upstream’s native precision. Best for hard latency / quality guarantees.
- Standard tier — Atlas picks the cheapest provider variant whose quantization has stayed green on your operation’s eval gates. For OpenAI: o4 Mini that’s currently OpenAI at $1.10/1M.
- Batch tier — async, biggest discount. Roadmapped to use provider batch APIs (OpenAI / Anthropic) where available and queued spot capacity for open-weight workloads.