OpenAI: Gpt oss 20b

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.

Model specifications

Input
text, image
Output
text
Context
131,072 tokens
Max output
131,072 tokens
Input price
$0.075 / 1M tokens
Output price
$0.3 / 1M tokens
Released
2026-02-11

Capabilities

  • Streaming
  • Function calling
  • Vision
  • Playground

Provider pricing, discounts and data privacy

Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.

Standard service tier

2 available providers · tier input average $0.0525 / 1M tokens · tier output average $0.22 / 1M tokens

DeepInfra

Tier: Standard · Region: US

Pricing
Input
$0.03 / 1M tokens
Output
$0.14 / 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
US
Zero data retention
Yes
Data retention
Zero retention
Used for training
No
Data collection
Moderated
No
GDPR compliant
Yes
HIPAA compliant
No
SOC 2 certified
Yes
BYOK supported
Yes

Groq

Tier: Standard · Region: US

Pricing
Input
$0.075 / 1M tokens
Output
$0.3 / 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
US
Zero data retention
No
Data retention
30-day retention
Used for training
No
Data collection
Moderated
No
GDPR compliant
No
HIPAA compliant
No
SOC 2 certified
No
BYOK supported
No

Frequently asked questions

What is 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.
How much does OpenAI: Gpt oss 20b cost?
Input costs start at $0.075 / 1M tokens and output costs start at $0.3 / 1M tokens. Provider-level prices vary by service tier.
What is the context length of OpenAI: Gpt oss 20b?
OpenAI: Gpt oss 20b supports a 131,072 token context window and up to 131,072 output tokens.
What capabilities does OpenAI: Gpt oss 20b support?
OpenAI: Gpt oss 20b supports Streaming, Function calling, Vision, Playground.
Which providers offer OpenAI: Gpt oss 20b?
OpenAI: Gpt oss 20b is available from DeepInfra, Groq.
How do providers handle data privacy for OpenAI: Gpt oss 20b?
2 of 2 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.

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