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Llama 3.3 70B Instruct vs Kimi K2.7 Code

meta-llama/llama-3.3-70b-instruct · moonshotai/kimi-k2.7-code

As of November 6, 2026, Kimi K2.7 Code is the cheaper API on UberLLM: $0.0053 per million input tokens and $0.0308 per million output, versus $0.0145 / $0.0465 for Llama 3.3 70B Instruct, about 37% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Kimi K2.7 Code to cut cost; choose Llama 3.3 70B Instruct when its capabilities fit your task better.

Llama 3.3 70B Instruct vs Kimi K2.7 Code, side by side

SpecLlama 3.3 70B InstructKimi K2.7 Code
Price · input / 1M$0.0145$0.0053
Price · output / 1M$0.0465$0.0308
Context length128,000262,144
Max output tokens4,096131,072
Input modalitiestexttext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)—Yes
Reasoning—Yes
% off list92.7% off99.1% off
First token, median (7 days)—4.8 s (283 requests)

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 6, 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 Kimi K2.7 Code — FAQ

Is Llama 3.3 70B Instruct or Kimi K2.7 Code cheaper?

Kimi K2.7 Code is cheaper on a blended token mix, by about 37%. 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 Kimi K2.7 Code?

Llama 3.3 70B Instruct: $0.0145 in / $0.0465 out per 1M tokens. Kimi K2.7 Code: $0.0053 in / $0.0308 out per 1M tokens. That's roughly a 37% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Llama 3.3 70B Instruct and Kimi K2.7 Code 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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