OpenAI
o4-mini
Released Apr 16, 2025 · 88B tokens this week · 2 providers
Overview
A compact reasoning model that spends extra tokens thinking before it answers. It punches far above its size on mathematics, competitive programming and structured logic. A good value pick when correctness matters more than response speed.
Providers
Reference data — not yet measured from live traffic
| PROVIDER | MAX OUT | OUTPUT /M | QUANT | |||||
|---|---|---|---|---|---|---|---|---|
OpenAICheapest | 200K | 100K | $1.10 | $4.40 | 208ms | 96 | 99.90% | Full |
Azure AI Foundry | 200K | 100K | $1.17 | $4.66 | 800ms | 78 | 99.71% | Full |
Latency p50 reflects a provider’s API endpoint responsiveness — the round-trip to its API, not per-token inference time. These figures, with throughput and uptime, are reference data until the gateway aggregates its own traffic.
Price comparison
Blended $ per 1M tokens
Blended rate per 1M tokens, weighted one part prompt to three parts completion — roughly the shape of a chat workload. Your mix will move the number.
Call it
OpenAI-compatible — swap the base URL and go
curl https://model.cards/api/v1/chat/completions \
-H "Authorization: Bearer $MODELCARDS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/o4-mini",
"messages": [
{ "role": "user", "content": "Summarize the tradeoffs of speculative decoding." }
]
}'