gpt-oss-120b
Pricing & Specs
OpenAI · $0.15 input / $0.6 output per 1M tokens · 131.072K context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on gpt-oss-120b costs about $0.0004 — roughly $0.45 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
gpt-oss-120b API Pricing
| Tokens | Price |
|---|---|
| Input | $0.15 / 1M tokens |
| Output | $0.6 / 1M tokens |
Batch API pricing is available via Together at 50%; cache pricing is not published.
What that means in practice
gpt-oss-120b Specs
| Spec | Value |
|---|---|
| Context window | 131.072K tokens |
| Input modalities | text |
| Output modalities | text |
| Latency (measured by OpenMark) | ~493ms median response |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | No |
| Batch API | Yes |
Capabilities
FAQ
How much does gpt-oss-120b cost?
gpt-oss-120b costs $0.15 per 1M input tokens and $0.6 per 1M output tokens.
What is gpt-oss-120b's context window?
gpt-oss-120b has a 131.072K-token context window.
Can I test gpt-oss-120b on my own task?
Yes. OpenMark lets you benchmark gpt-oss-120b against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is gpt-oss-120b the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.