OpenAI: gpt-oss-20b

Public pricingIntelligence 79/100Medium memoryDeep thinkingTool use

OpenAI: gpt-oss-20b is a text model for general chat, analysis, and production use. It combines steady general-purpose performance with a 131K tokens context window and a low-cost profile. Use it for general chat, analysis, and production workloads when quality, speed, and cost matters. It is a practical choice for teams that need reliable output, flexible deployment, and room to scale.

Input

$0.03/1M

Output

$0.14/1M

Cached

$0.00/1M

Batch

$0.02/1M

Calculate your gpt-oss-20b bill.

Set your workload — see cost at your exact volume.

What would gpt-oss-20b cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

gpt-oss-20b at a glance.

Memory

131,072

tokens

Max reply

131,072

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

tiktoken-o200k

Released

Aug 2025

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    22

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick gpt-oss-20b

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

gpt-oss-20b — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, gpt-oss-20b costs roughly $8 per month. Input is $0.03 /1M tokens and output is $0.14 /1M tokens.
gpt-oss-20b has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, gpt-oss-20b supports deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
gpt-oss-20b was released in August 2025, with training data cut off around October 2024.
Models in a similar class include gpt-oss-120b, GPT-5 Nano, gpt-oss-safeguard-20b. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare gpt-oss-20b against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard