As of August 23, 2026, GPT OSS 120B High API pricing is $0.10 per million input tokens and $0.50 per million output tokens. A typical 100K-in / 20K-out request costs $0.02. Source: https://developers.openai.com/api/docs/pricing
Source: OpenAI API pricing (https://developers.openai.com/api/docs/pricing)
Input $/M
$0.10
Output $/M
$0.50
Blended / 1M
$0.60
100K / 20K request
$0.02
| Context Window | 131.1K |
|---|---|
| Max Output | 131.1K tokens |
| Release Date | 2025-08-05 |
| Knowledge Cutoff | N/A |
| License | Open Source |
| Throughput | 100 tok/s |
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As of August 23, 2026, GPT OSS 120B High OpenAI API pricing is $0.10 per million input tokens and $0.50 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://developers.openai.com/api/docs/pricing
On this page the blended GPT OSS 120B High API cost is $0.60 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $0.80.
A typical GPT OSS 120B High API request with 100K input tokens and 20K output tokens costs about $0.02 at current rates as of August 23, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from OpenAI can bring the real invoice lower than the public list rate at https://developers.openai.com/api/docs/pricing.
GPT OSS 120B High supports a 131K token context window and can generate up to 131K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. GPT OSS 120B High is an open-weight model by OpenAI. You can download the weights and self-host, or pay OpenAI's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
GPT OSS 120B High currently reports GPQA 80.9%, GPQA Diamond 75.8%, LiveCodeBench v6 81.9%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated GPT OSS 120B High vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut GPT OSS 120B High. Open-weight models can be cheaper still if you self-host, but that is not the same as OpenAI API pricing on this page.
GPT OSS 120B High is called through OpenAI's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for OpenAI and 5+ other providers with auth, payments, and deployment already configured.
This GPT OSS 120B High page tracks the latest published OpenAI API pricing from OpenAI, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://developers.openai.com/api/docs/pricing. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
GPT OSS 120B High has a measured throughput of about 100 tokens per second (tok/s). Throughput is how fast completions stream once the model starts generating; time-to-first-token can still lag under load. Faster APIs matter when you are building chat or agents, even if the per-million-token price is the same.
GPT OSS 120B High is a open-source model from OpenAI. Current API pricing is $0.10 per million input tokens and $0.50 per million output tokens, with a 131.1K token context window. A blended 1M-in / 1M-out workload costs $0.60.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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