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DeepSeek V4 Pro vs Llama 3.3 70B Instruct

deepseek/deepseek-v4-pro · meta-llama/llama-3.3-70b-instruct

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 $0.3016 / $0.6032 for DeepSeek V4 Pro, about 76% 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 DeepSeek V4 Pro when context size wins. DeepSeek V4 Pro carries the larger context window (1,000,000 vs 128,000 tokens), which can matter for long-document work.

DeepSeek V4 Pro vs Llama 3.3 70B Instruct, side by side

SpecDeepSeek V4 ProLlama 3.3 70B Instruct
Price · input / 1M$0.3016$0.0479
Price · output / 1M$0.6032$0.1533
Context length1,000,000128,000
Max output tokens128,0004,096
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
ReasoningYes—
% off list81% off52% off
First token, median (7 days)5.4 s (200 requests)—

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?

DeepSeek V4 Pro vs Llama 3.3 70B Instruct — FAQ

Is DeepSeek V4 Pro or Llama 3.3 70B Instruct cheaper?

Llama 3.3 70B Instruct is cheaper on a blended token mix, by about 76%. 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 DeepSeek V4 Pro and Llama 3.3 70B Instruct?

DeepSeek V4 Pro: $0.3016 in / $0.6032 out per 1M tokens. Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. That's roughly a 76% blended difference. Prices are live; UberLLM adds no fee.

Can I use both DeepSeek V4 Pro and Llama 3.3 70B Instruct 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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