NewPoint any agent at UberLLM — one key, every model, list price or less.

Llama 3.3 70B Instruct vs GPT-OSS 20B

meta-llama/llama-3.3-70b-instruct · openai/gpt-oss-20b

As of October 31, 2026, GPT-OSS 20B is the cheaper API on UberLLM: $0.0000 per million input tokens and $0.0001 per million output, versus $0.0479 / $0.1533 for Llama 3.3 70B Instruct, about 100% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose GPT-OSS 20B to cut cost; choose Llama 3.3 70B Instruct when its capabilities fit your task better.

Llama 3.3 70B Instruct vs GPT-OSS 20B, side by side

SpecLlama 3.3 70B InstructGPT-OSS 20B
Price · input / 1M$0.0479$0.0000
Price · output / 1M$0.1533$0.0001
Context length128,000128,000
Max output tokens4,09616,000
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
% off list52% off99.9% off

Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Llama 3.3 70B Instruct vs GPT-OSS 20B — FAQ

Is Llama 3.3 70B Instruct or GPT-OSS 20B cheaper?

GPT-OSS 20B is cheaper on a blended token mix, by about 100%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between Llama 3.3 70B Instruct and GPT-OSS 20B?

Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. GPT-OSS 20B: $0.0000 in / $0.0001 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Llama 3.3 70B Instruct and GPT-OSS 20B with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

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