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 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.

Description

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.

ArchitectureАрхитектура

Modality:
text->text
InputModalities:
text
OutputModalities:
text
Tokenizer:
GPT

ContextAndLimits

ContextLength:
131072 Tokens
MaxResponseTokens:
0 Tokens
Moderation:
Disabled

PricingRUB

Request:
Image:
WebSearch:
InternalReasoning:
Prompt1KTokens:
Completion1KTokens:

DefaultParameters

Temperature:
0
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