o3-mini (high)
AI model by OpenAI. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. o3-mini (high) is positioned in the mid-tier at $4.40/M output tokens. The benchmark profile is balanced — strongest on Coding Index (16.3) — making it a default choice for teams that need general-purpose reasoning without paying frontier-model prices.
Latency. On latency, o3-mini (high) reports 220 tok/s output speed and 20910ms time-to-first-token. Output speed is in the normal range — most chat and completion applications will be token-bound, not streaming-bound.
Cost model. For a workload of 1M input tokens + 100K output tokens, o3-mini (high) costs $1.54 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
o3-mini (high)Current | $1.10 | $4.40 | 220 tok/s |
| GLM-5.1 (Reasoning) | $1.39 | $4.40 | 79 tok/s |
| GLM-5.1 (Non-reasoning) | $1.39 | $4.40 | 60 tok/s |
| GLM-5.3 (max) | $1.40 | $4.40 | 85 tok/s |
| GLM-5.2 (Non-reasoning) | $1.40 | $4.40 | 140 tok/s |
| GLM-5.2 (max) | $1.40 | $4.40 | 113 tok/s |