gpt-oss-20b vs MiniMax M3
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-20b and MiniMax M3.
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...
MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Technical Specifications
| Specification | gpt-oss-20b | MiniMax M3 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Context Window | 131,072 tokens | 1,048,576 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | beta |
| API Available | Yes | Yes |
| Released Date | 2025-08-05 | 2026-05-31 |
API Pricing Comparison
Input Price per Million Tokens
gpt-oss-20b
$0.03
MiniMax M3
$0.30
Output Price per Million Tokens
gpt-oss-20b
$0.14
MiniMax M3
$1.20
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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.
gpt-oss-20b Quirks & Gotchas
No developer gotchas reported.
MiniMax M3 Quirks & Gotchas
No developer gotchas reported.