gpt-oss-120b
by OpenAIopenai/gpt-oss-120b
LLMCompare cannot run gpt-oss-120b yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
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- Context length
- 131,072 tokens
- Maximum output
- 65,536 tokens
- Accepts
- Text
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt caching
- Reasoning effort levels
highmediumlowReasoning is always on for this model.- Released
- 5 Aug 2025
- Knowledge cutoff
- 30 June 2024
Model facts synced from the OpenRouter model list on 21 Oct 2026.
gpt-oss-120b pricing by route
A route is the service LLMCompare calls to reach the model. gpt-oss-120b has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.15 | $0.60 | $0.075 | openrouter.ai/openai/gpt-oss-120b |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to gpt-oss-120b costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
Billed in addition to the output tokens.
- Cost per call
- $0.00045
- 1 credits
- Cost of 100 calls
- $0.045
- 100 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 65,536 | Provider default |
reasoning_effort | One of | highmediumlow | medium |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
Description as published for this model. LLMCompare has not edited it.
Models to compare with gpt-oss-120b
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
GPT-4o-miniOpenAIopenai/gpt-4o-mini | 128k | 16.4k | $0.15 | $0.60 | JSONToolsCacheVision | No route yet | ||
GPT-4o-mini (2024-07-18)OpenAIopenai/gpt-4o-mini-2024-07-18 | 128k | 16.4k | $0.15 | $0.60 | JSONToolsCacheVision | No route yet | ||
GPT-6 Luna ProOpenAIopenai/gpt-6-luna-pro | 1.05M | 128k | $0.10 | $0.50 | ReasoningJSONToolsCacheVision | No route yet | ||
DeepSeek V4.1 Flash 1017DeepSeekdeepseek/deepseek-v4.1-flash-1017 | 1.05M | 393k | $0.15 | $0.60 | ReasoningJSONToolsCacheVision | No route yet | ||
LFM2.5-24B-A2BLiquidAIliquid/lfm-2.5-24b-a2b | 128k | 8.2k | $0.05 | $0.70 | JSONToolsCache | No route yet | ||
Solar Pro 4Upstageupstage/solar-pro4 | 524k | 131k | $0.15 | $0.60 | ReasoningJSONToolsCache | No route yet |
Questions about gpt-oss-120b
- How much does gpt-oss-120b cost?
- On the OpenRouter route, gpt-oss-120b costs $0.15 per 1 million input tokens and $0.60 per 1 million output tokens, in US dollars. Input tokens that gpt-oss-120b reads from the prompt cache cost $0.075 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of gpt-oss-120b?
- gpt-oss-120b has a context length of 131,072 tokens and returns up to 65,536 output tokens in one call.
- What inputs does gpt-oss-120b accept?
- gpt-oss-120b accepts these inputs: Text. gpt-oss-120b returns: Text.
- Which reasoning effort levels does gpt-oss-120b support?
- gpt-oss-120b supports these reasoning effort levels: high, medium, low. Reasoning is always on for gpt-oss-120b and cannot be turned off.
- Can I test gpt-oss-120b on my own data?
- Not yet. LLMCompare lists the prices and parameters of gpt-oss-120b, but no route to gpt-oss-120b is configured on LLMCompare, so it cannot be selected for an evaluation.