z-ai
gpt-oss-120b vs GLM 5.3 Flash
71.6 overall · $0.237 / 1M
// openai
gpt-oss-120b
openai/gpt-oss-120b
reasoningtool callingprompt caching
gpt-oss-120b costs $0.150 per 1M input tokens and $0.600 per 1M output tokens with a 131K-token context window.
A reasoning, tool-calling model from openai, released Aug 5, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.150
- Output / 1M
- $0.600
- Context
- 131K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.150 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.600 |
| Blended price 3:1 input:output — #93 cheapest of 343 listed models | $0.262 |
| Cached input read Blank means not priced separately — not free | $0.075 |
| Cache write | — |
| Context window | 131,072 tokens |
| Max output | 65,536 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | 2024-06-30 |
| Listed | Aug 5, 2025 |
What gpt-oss-120b costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $78.60/mo |
| RAG assistant 8K in / 600 out × 100K requests | $126.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $126.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $191.25/mo |
| Bulk classification 500 in / 20 out × 5M requests | $397.50/mo |
Compare gpt-oss-120b with
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gpt-oss-120b vs DeepSeek V4 Flash 0731
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gpt-oss-120b vs GPT-5.6 Luna
73.6 overall · $0.450 / 1M
gpt-oss-120b FAQ
How much does gpt-oss-120b cost?
gpt-oss-120b lists at $0.150 per 1M input tokens and $0.600 per 1M output tokens, with cached input reads at $0.075 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $126.00 at list price.
What is the context window of gpt-oss-120b?
gpt-oss-120b accepts up to 131,072 tokens of context and can return up to 65,536 output tokens per response.
Does gpt-oss-120b support tool calling?
Yes — gpt-oss-120b supports tool (function) calling and exposes extended reasoning. It accepts text input.
How does gpt-oss-120b score on benchmarks?
LiveBench has not published a run for gpt-oss-120b yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for gpt-oss-120b?
On OpenRouter the model ID is "openai/gpt-oss-120b". It was listed on Aug 5, 2025.
More from openai
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.