Gemma 4 31B vs Qwen3 32B
google/gemma-4-31b · 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 $0.0010 / $0.0029 for Gemma 4 31B, about 5% 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 Gemma 4 31B when context size wins. Gemma 4 31B carries the larger context window (256,000 vs 32,000 tokens), which can matter for long-document work.
Gemma 4 31B vs Qwen3 32B, side by side
| Spec | Gemma 4 31B | Qwen3 32B |
|---|---|---|
| Price · input / 1M | $0.0010 | $0.0008 |
| Price · output / 1M | $0.0029 | $0.0028 |
| Context length | 256,000 | 32,000 |
| Max output tokens | 131,072 | 8,000 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| % off list | 99% 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?
Gemma 4 31B vs Qwen3 32B — FAQ
Is Gemma 4 31B or Qwen3 32B cheaper?
Qwen3 32B is cheaper on a blended token mix, by about 5%. 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 Gemma 4 31B and Qwen3 32B?
Gemma 4 31B: $0.0010 in / $0.0029 out per 1M tokens. Qwen3 32B: $0.0008 in / $0.0028 out per 1M tokens. That's roughly a 5% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemma 4 31B 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.