DeepSeek V3.2 vs Llama 3.3 70B Instruct
deepseek/deepseek-v3.2 · meta-llama/llama-3.3-70b-instruct
As of October 31, 2026, DeepSeek V3.2 is the cheaper API on UberLLM: $0.0026 per million input tokens and $0.0038 per million output, versus $0.0479 / $0.1533 for Llama 3.3 70B Instruct, about 97% 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 DeepSeek V3.2 to cut cost; choose Llama 3.3 70B Instruct when its capabilities fit your task better.
DeepSeek V3.2 vs Llama 3.3 70B Instruct, side by side
| Spec | DeepSeek V3.2 | Llama 3.3 70B Instruct |
|---|---|---|
| Price · input / 1M | $0.0026 | $0.0479 |
| Price · output / 1M | $0.0038 | $0.1533 |
| Context length | 160,000 | 128,000 |
| Max output tokens | 32,768 | 4,096 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | — |
| % off list | 99% off | 52% 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?
DeepSeek V3.2 vs Llama 3.3 70B Instruct — FAQ
Is DeepSeek V3.2 or Llama 3.3 70B Instruct cheaper?
DeepSeek V3.2 is cheaper on a blended token mix, by about 97%. 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 V3.2 and Llama 3.3 70B Instruct?
DeepSeek V3.2: $0.0026 in / $0.0038 out per 1M tokens. Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. That's roughly a 97% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V3.2 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.