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gpt-oss-120b vs gpt-oss-20b

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for gpt-oss-120b and gpt-oss-20b.

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...

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OpenAI

gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

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Technical Specifications

Specificationgpt-oss-120bgpt-oss-20b
ProviderOpenAIOpenAI
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-052025-08-05

API Pricing Comparison

Input Price per Million Tokens

gpt-oss-120b

$0.03

gpt-oss-20b

$0.03

Output Price per Million Tokens

gpt-oss-120b

$0.15

gpt-oss-20b

$0.14

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

gpt-oss-120b Quirks & Gotchas

No developer gotchas reported.

gpt-oss-20b Quirks & Gotchas

No developer gotchas reported.