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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 lower-latency inference and deployability on consumer or single-GPU hardware. The model is trained in OpenAI’s Harmony response format and supports reasoning level configuration, fine-tuning, and agentic capabilities including function calling, tool use, and structured outputs.
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Capabilitiesjust now | 50 | 30% | +15.0 |
| Recencyjust now | 91 | 15% | +13.7 |
| Output Capacityjust now | 85 | 15% | +12.8 |
| Context Windowjust now | 81 | 15% | +12.2 |
| Pricingjust now | 30 | 25% | +7.5 |
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