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OpenAI: gpt-oss-20b

by OpenAI

7.6
Quality score / 10

Overview

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...

Our take

Unlike many contemporary models that prioritise expansive context windows or multimodal capabilities, gpt-oss-20b distinguishes itself through its specific focus on cost-efficiency and structured output. For developers building agent-style workflows that require reliable, parsable responses, its ability to return structured JSON output and support tool/function calling is a key advantage. This makes it suitable for applications such as automating data extraction from lengthy documents or orchestrating complex multi-step reasoning tasks. While its 131,072-token context window is smaller than some alternatives, and it lacks image input, its low API price of $0.03 per 1M input tokens undercuts roughly 75% of comparable models, making it an economical choice. Ideal for developers and researchers who need a cost-effective model for text-based reasoning and structured data processing, particularly when working within budget constraints and without a need for image input or a free tier.

How OpenAI: gpt-oss-20b stacks up

Among the 373 chatbots & llms tools in our directory, it ranks #219 of 362 on quality (7.6/10), 5% below the 362-tool average of 8.0, and its $0.03/1M input-token rate is in the budget end — 98% cheaper than the 352-model average of $1.52/1M.

Weighing quality against cost, OpenAI: gpt-oss-20b's cost-per-quality-point of $0.00 places it in the top 3% for value among chatbots & llms tools.

OpenAI: gpt-oss-20b in depth

OpenAI: gpt-oss-20b, built by OpenAI, sits in the chatbots & llms space and is a paid tool starting at $0.03/1M tokens. Our editors rate it 7.6 out of 10 based on capability, ecosystem and value. It handles a context window of 131,072 tokens.

On the feature side, OpenAI: gpt-oss-20b brings 131,072-token context window, reasoning / chain-of-thought, tool / function calling and structured (json) outputs. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is low api price — $0.03 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

OpenAI: gpt-oss-20b is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
131,072 tokens
Free tier
No
Updated
2026-08-22

Key features

  • 131,072-token context window
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs
  • Knowledge cutoff 2024-06-30

Pricing

$0.03/1M tokens
Pay per token
Paid$0.03/1M tokens
API input
$0.03 / 1M tokens
API output
$0.13 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.03 per 1M input tokens, cheaper than roughly 75% of comparable models
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Supports tool / function calling for agent-style workflows
  • +Can return structured JSON output for reliable parsing

Cons

  • No free tier — usage is billed per token
  • Context window of 131,072 tokens is smaller than most current models
  • Text-only: does not accept image input

Who should use OpenAI: gpt-oss-20b

  • Anyone looking for a chatbots & llms tool from OpenAI.
  • Teams and individuals focused on research and writing.
  • People who value low api price — $0.03 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • Workflows that need a 131,072 tokens context window.

Who should look elsewhere

  • Anyone who needs a free tier — this tool is paid only.
  • Those for whom no free tier — usage is billed per token is a dealbreaker.
  • Users who can't accept that context window of 131,072 tokens is smaller than most current models.

Best for

10 Best OpenAI: gpt-oss-20b Alternatives in 2026

OpenAI: gpt-oss-20b is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to OpenAI: gpt-oss-20b, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4

Meta

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Meta: Muse Spark 1.2 Contributor review →
5

DeepSeek

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full DeepSeek: DeepSeek V4 Flash Vision Exp review →
6
Ox AlphaFree tierFree

Stealth

Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads.

+ Completely free to use via the OpenRouter API+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Ox Alpha review →
7
Qwen: Qwen3.8 27BPaid$0.45/1M tokens

Qwen

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 27B review →
8

Google

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.7 Flash (batch) review →
9
Meta: Muse Spark 1.2Paid$1.25/1M tokens

Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.2 review →
10
Qwen: Qwen3.8 MaxPaid$2.00/1M tokens

Qwen

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 Max review →

OpenAI: gpt-oss-20b vs top alternatives

A side-by-side look at how OpenAI: gpt-oss-20b stacks up against its closest rivals.

FeatureOpenAI: gpt-oss-20bOpenAIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score7.6 / 109.6 / 109.5 / 109.2 / 10
Starting price$0.03/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$0.03 / 1M tokens$10 / 1M tokens$0.1 / 1M tokens$0.1875 / 1M tokens
API output price$0.13 / 1M tokens$50 / 1M tokens$0.6 / 1M tokens$0.9375 / 1M tokens
SpeedFastFastFast
Context window131,072 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 131,072-token context window
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Low API price — $0.03 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Supports tool / function calling for agent-style workflows
  • + Can return structured JSON output for reliable parsing
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • No free tier — usage is billed per token
  • Context window of 131,072 tokens is smaller than most current models
  • Text-only: does not accept image input
  • No native image generation
  • Fewer consumer integrations than ChatGPT
  • Usage caps on the most capable models
  • Can be verbose and overly cautious
  • Quality can be inconsistent on edge cases
  • Privacy concerns for some users

Frequently asked questions

Q. Is OpenAI: gpt-oss-20b free?

No — OpenAI: gpt-oss-20b is a paid tool, starting at $0.03/1M tokens.

Q. How much does OpenAI: gpt-oss-20b cost?

OpenAI: gpt-oss-20b starts at $0.03/1M tokens. API usage is around $0.03 per 1M input tokens and $0.13 per 1M output tokens.

Q. What is OpenAI: gpt-oss-20b best for?

OpenAI: gpt-oss-20b is best suited to research and writing, within the chatbots & llms category.

Q. What are the best OpenAI: gpt-oss-20b alternatives?

Popular alternatives to OpenAI: gpt-oss-20b include Claude, ChatGPT, Gemini and Meta: Muse Spark 1.2 Contributor. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to OpenAI: gpt-oss-20b?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from OpenAI: gpt-oss-20b?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; Context window of 131,072 tokens is smaller than most current models; Text-only: does not accept image input), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

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