OpenAI: gpt-oss-120b
Analysis Summary
OpenAI gpt-oss-120b is a text-to-text model with a 131K context window, tool use, and function calling. The supplied results show strong mathematical and live coding performance, but lower general intelligence, coding index, and agentic measurements. Pricing is exceptionally low at $0.037 per million input tokens and $0.17 per million output tokens.
That profile suits bulk code transformations, structured data work, SEO automation, and tool calls backed by validation. It is not a strong choice for autonomous agents, nuanced editorial strategy, or unreviewed client communication. Deploy it as an economical specialist for measurable tasks, keeping a stronger model available for reasoning-heavy escalation.
Assessed August 9, 2026
Editorial notes
The paid gpt-oss-120b combines very low pricing with strong mathematics and live coding results, plus tool use, function calling, and 131K context. Its general intelligence and agentic reliability are limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
The paid gpt-oss-120b combines very low pricing with strong mathematics and live coding results, plus tool use, function calling, and 131K context. Its general intelligence and agentic reliability are limited.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.9 Intelligence Index·21.2 Coding Index·1 Agentic Index·93.4 Math Index
How OpenAI: gpt-oss-120b compares
OpenAI: gpt-oss-120b ranks #222 of 434 AI models we track for overall intelligence, #143 of 207 for coding, #180 of 189 for agentic tasks. Its 131K-token context window is larger than 49% of the models we list. At $0.04 per million input tokens it is cheaper than 77% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.04 | $0.000037 |
| Output | $0.17 | $0.000170 |
What would OpenAI: gpt-oss-120b cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 751 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: gpt-oss-120b for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: 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..
Frequently asked questions about OpenAI: gpt-oss-120b
How much does OpenAI: gpt-oss-120b cost?
OpenAI: gpt-oss-120b costs $0.04 per million input tokens and $0.17 per million output tokens.
What is the context window of OpenAI: gpt-oss-120b?
OpenAI: gpt-oss-120b has a context window of 131,072 tokens (131K).
Is OpenAI: gpt-oss-120b good for coding?
On our coding benchmark index, OpenAI: gpt-oss-120b ranks #143 of 207 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: gpt-oss-120b do?
OpenAI: gpt-oss-120b supports tool use and function calling.
Who created OpenAI: gpt-oss-120b?
OpenAI: gpt-oss-120b is developed by OpenAI and was released on August 5, 2025.