Llama 3.3 70B Instruct vs Qwen3 32B
meta-llama/llama-3.3-70b-instruct · qwen/qwen3-32b
As of October 31, 2026, Qwen3 32B is the cheaper API on UberLLM: $0.0008 per million input tokens and $0.0028 per million output, versus $0.0479 / $0.1533 for Llama 3.3 70B Instruct, about 98% 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 Qwen3 32B to cut cost; choose Llama 3.3 70B Instruct when context size wins. Llama 3.3 70B Instruct carries the larger context window (128,000 vs 32,000 tokens), which can matter for long-document work.
Llama 3.3 70B Instruct vs Qwen3 32B, side by side
| Spec | Llama 3.3 70B Instruct | Qwen3 32B |
|---|---|---|
| Price · input / 1M | $0.0479 | $0.0008 |
| Price · output / 1M | $0.1533 | $0.0028 |
| Context length | 128,000 | 32,000 |
| Max output tokens | 4,096 | 8,000 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| % off list | 52% off | 99% 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 Qwen3 32B — FAQ
Is Llama 3.3 70B Instruct or Qwen3 32B cheaper?
Qwen3 32B is cheaper on a blended token mix, by about 98%. 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 Qwen3 32B?
Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. Qwen3 32B: $0.0008 in / $0.0028 out per 1M tokens. That's roughly a 98% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Llama 3.3 70B Instruct and Qwen3 32B 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.