Gemini 3.1 Pro vs gpt-oss-120b
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 Gemini 3.1 Pro and gpt-oss-120b.
Gemini 3.1 Pro
Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.
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...
Technical Specifications
| Specification | Gemini 3.1 Pro | gpt-oss-120b |
|---|---|---|
| Provider | OpenAI | |
| Context Window | 2,000,000 tokens | 131,072 tokens |
| Agent Suitability | 93/100 | N/A |
| Time to First Token (TTFT) | 420 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2025-08-05 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro
$2.00
gpt-oss-120b
$0.03
Output Price per Million Tokens
Gemini 3.1 Pro
$12.00
gpt-oss-120b
$0.15
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 3.1 Pro Quirks & Gotchas
- ▸Best model for massive context — 2M token window is class-leading
- ▸Tool calling requires explicit schema definition in Google AI Studio
gpt-oss-120b Quirks & Gotchas
No developer gotchas reported.