Llama 3.3 70B Instruct vs Kimi K2.5
meta-llama/llama-3.3-70b-instruct · moonshotai/kimi-k2.5
As of November 1, 2026, Kimi K2.5 is the cheaper API on UberLLM: $0.0041 per million input tokens and $0.0205 per million output, versus $0.0145 / $0.0465 for Llama 3.3 70B Instruct, about 57% 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 K2.5 to cut cost; choose Llama 3.3 70B Instruct when its capabilities fit your task better.
Llama 3.3 70B Instruct vs Kimi K2.5, side by side
| Spec | Llama 3.3 70B Instruct | Kimi K2.5 |
|---|---|---|
| Price · input / 1M | $0.0145 | $0.0041 |
| Price · output / 1M | $0.0465 | $0.0205 |
| Context length | 128,000 | 256,000 |
| Max output tokens | 4,096 | 65,536 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | — | Yes |
| % off list | 85.5% off | 99.2% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 1, 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 K2.5 — FAQ
Is Llama 3.3 70B Instruct or Kimi K2.5 cheaper?
Kimi K2.5 is cheaper on a blended token mix, by about 57%. 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 K2.5?
Llama 3.3 70B Instruct: $0.0145 in / $0.0465 out per 1M tokens. Kimi K2.5: $0.0041 in / $0.0205 out per 1M tokens. That's roughly a 57% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Llama 3.3 70B Instruct and Kimi K2.5 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.