gpt-oss-20b (high)
AI model by OpenAI. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. gpt-oss-20b (high) is a budget-tier option from OpenAI at $0.19/M output tokens. Despite the low price, it scores competitively on Coding Index (20.7) and Intelligence Index (9.0) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, gpt-oss-20b (high) reports 231 tok/s output speed and 760ms 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, gpt-oss-20b (high) costs $0.08 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 2026-10-08.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
gpt-oss-20b (high)Current | $0.06 | $0.19 | 231 tok/s |
| NVIDIA Nemotron 3 Nano 30B A3B (Non-reasoning) | $0.05 | $0.20 | 177 tok/s |
| Nemotron 3.5 Lightning | $0.06 | $0.20 | 302 tok/s |
| Qwen3.5 9B (Reasoning) | $0.14 | $0.20 | 90 tok/s |
| NVIDIA Nemotron Nano 9B V2 (Non-reasoning) | $0.05 | $0.20 | 160 tok/s |
| Qwen2.5 Turbo | $0.05 | $0.20 | 106 tok/s |