GPT OSS 20B vs Llama 4 Scout

Comparison

As of August 20, 2026, GPT OSS 20B is 34% cheaper per million tokens than Llama 4 Scout. GPT OSS 20B is $0.05 / $0.20 per million input/output tokens versus Llama 4 Scout at $0.08 / $0.30. Sources: https://developers.openai.com/api/docs/pricing and https://llama.meta.com/

Sources: OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Meta pricing (https://llama.meta.com/)

Better value

GPT OSS 20B

OpenAI

$0.25blended / 1M

Input

$0.05

Output

$0.20

131.1K ctx|Open Source

34%

cheaper

Llama 4 Scout

GPT OSS 20B vs Llama 4 Scout comparison

Token pricing, specs, and benchmarks side by side

Metric

GPT OSS 20B

Llama 4 Scout

Provider

OpenAI

GPT OSS 20B vs Llama 4 Scout: the bottom line

GPT OSS 20B offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.

View GPT OSS 20B details View Llama 4 Scout details

GPT OSS 20B vs Llama 4 Scout FAQ

Which is cheaper, GPT OSS 20B or Llama 4 Scout?

As of August 20, 2026, GPT OSS 20B is 34% cheaper on blended LLM API pricing. GPT OSS 20B costs $0.05 per million input tokens and $0.20 per million output tokens ($0.25 blended 1M-in + 1M-out). Llama 4 Scout costs $0.08 / $0.30 per million tokens ($0.38 blended). Sources: https://developers.openai.com/api/docs/pricing and https://llama.meta.com/. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does GPT OSS 20B vs Llama 4 Scout cost per million tokens?

GPT OSS 20B OpenAI API pricing is $0.05 input and $0.20 output per million tokens via OpenAI. Llama 4 Scout Meta API pricing is $0.08 input and $0.30 output per million tokens via Meta. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

Which is better for coding, GPT OSS 20B or Llama 4 Scout?

GPT OSS 20B leads on LiveCodeBench: GPT OSS 20B at 80.4% vs Llama 4 Scout at 32.8%. SWE-bench measures real GitHub fixes; LiveCodeBench measures contest programming.

What is the context window for GPT OSS 20B vs Llama 4 Scout?

GPT OSS 20B supports a 131K token context window, while Llama 4 Scout supports 10M tokens. Llama 4 Scout offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.

Which model performs better on benchmarks, GPT OSS 20B or Llama 4 Scout?

GPT OSS 20B leads on 4 of 6 shared benchmarks versus Llama 4 Scout's 2 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.

Is GPT OSS 20B or Llama 4 Scout better for production use?

Both GPT OSS 20B and Llama 4 Scout are production API models. For cost-sensitive production traffic, GPT OSS 20B has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.

Can I switch between GPT OSS 20B and Llama 4 Scout in my app?

Yes. Call GPT OSS 20B through OpenAI and Llama 4 Scout through Meta with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.

How accurate is this GPT OSS 20B vs Llama 4 Scout pricing data?

List rates are the latest published OpenAI API pricing and Meta API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/pricing and https://llama.meta.com/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.

What is the output token limit for GPT OSS 20B and Llama 4 Scout?

GPT OSS 20B supports up to 33K output tokens per request, while Llama 4 Scout supports up to 10M output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.

Which model has better throughput, GPT OSS 20B or Llama 4 Scout?

GPT OSS 20B runs at approximately 1000 tokens/second while Llama 4 Scout runs at 76.1 tokens/second. GPT OSS 20B is faster in raw throughput. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.

How do I switch the models in this GPT OSS 20B vs Llama 4 Scout comparison?

Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT OSS 20B or Llama 4 Scout from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

GPT OSS 20B vs Llama 4 Scout pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. GPT OSS 20B costs $0.05/M input and $0.20/M output. Llama 4 Scout costs $0.08/M input and $0.30/M output.

Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.