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gpt-oss-120b vs o4 Mini Deep Research

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 o4 Mini Deep Research.

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

o4 Mini Deep Research

o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.

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Technical Specifications

Specificationgpt-oss-120bo4 Mini Deep Research
ProviderOpenAIOpenAI
Context Window131,072 tokens200,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-052025-10-10

API Pricing Comparison

Input Price per Million Tokens

gpt-oss-120b

$0.03

o4 Mini Deep Research

$2.00

Output Price per Million Tokens

gpt-oss-120b

$0.15

o4 Mini Deep Research

$8.00

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.

o4 Mini Deep Research Quirks & Gotchas

No developer gotchas reported.