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Llama 3.3 70B Instruct vs Mistral Large

meta-llama/llama-3.3-70b-instruct · mistralai/mistral-large

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 $0.1000 / $0.3000 for Mistral Large, about 49% 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 Mistral Large when its capabilities fit your task better.

Llama 3.3 70B Instruct vs Mistral Large, side by side

SpecLlama 3.3 70B InstructMistral Large
Price · input / 1M$0.0479$0.1000
Price · output / 1M$0.1533$0.3000
Context length128,000128,000
Max output tokens4,0964,096
Input modalitiestexttext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)—Yes
% off list52% off95% 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 Mistral Large — FAQ

Is Llama 3.3 70B Instruct or Mistral Large cheaper?

Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 49%. 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 Mistral Large?

Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. Mistral Large: $0.1000 in / $0.3000 out per 1M tokens. That's roughly a 49% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Llama 3.3 70B Instruct and Mistral Large 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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