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Llama 3.3 70B Instruct vs Hermes 3 Llama 3.1 405b

meta-llama/llama-3.3-70b-instruct · nousresearch/hermes-3-llama-3.1-405b

As of October 31, 2026, Llama 3.3 70B Instruct is the cheaper API on UberLLM: $0.0479 per million input tokens and $0.1533 per million output, versus $0.5888 / $0.5888 for Hermes 3 Llama 3.1 405b, about 78% 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 Llama 3.3 70B Instruct to cut cost; choose Hermes 3 Llama 3.1 405b when its capabilities fit your task better.

Llama 3.3 70B Instruct vs Hermes 3 Llama 3.1 405b, side by side

SpecLlama 3.3 70B InstructHermes 3 Llama 3.1 405b
Price · input / 1M$0.0479$0.5888
Price · output / 1M$0.1533$0.5888
Context length128,000128,000
Max output tokens4,09616,384
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYes—
% off list52% off41% 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.

Llama 3.3 70B Instruct vs Hermes 3 Llama 3.1 405b — FAQ

Is Llama 3.3 70B Instruct or Hermes 3 Llama 3.1 405b cheaper?

Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 78%. 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 Hermes 3 Llama 3.1 405b?

Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. Hermes 3 Llama 3.1 405b: $0.5888 in / $0.5888 out per 1M tokens. That's roughly a 78% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Llama 3.3 70B Instruct and Hermes 3 Llama 3.1 405b 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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