Gemma 3 4B IT vs MiniMax M3.1 Flash
google/gemma-3-4b-it · minimax/minimax-m3-1-flash
As of October 31, 2026, Gemma 3 4B IT is the cheaper API on UberLLM: $0.0005 per million input tokens and $0.0009 per million output, versus $0.0362 / $0.1449 for MiniMax M3.1 Flash, about 99% 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 Gemma 3 4B IT to cut cost; choose MiniMax M3.1 Flash when context size wins. MiniMax M3.1 Flash carries the larger context window (1,000,000 vs 128,000 tokens), which can matter for long-document work.
Gemma 3 4B IT vs MiniMax M3.1 Flash, side by side
| Spec | Gemma 3 4B IT | MiniMax M3.1 Flash |
|---|---|---|
| Price · input / 1M | $0.0005 | $0.0362 |
| Price · output / 1M | $0.0009 | $0.1449 |
| Context length | 128,000 | 1,000,000 |
| Max output tokens | 8,000 | 131,072 |
| Input modalities | text, image | text, image, video |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 99% off | 76% 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 3 4B IT vs MiniMax M3.1 Flash — FAQ
Is Gemma 3 4B IT or MiniMax M3.1 Flash cheaper?
Gemma 3 4B IT is cheaper on a blended token mix, by about 99%. 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 3 4B IT and MiniMax M3.1 Flash?
Gemma 3 4B IT: $0.0005 in / $0.0009 out per 1M tokens. MiniMax M3.1 Flash: $0.0362 in / $0.1449 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemma 3 4B IT and MiniMax M3.1 Flash 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.