Gemma 4 E2B vs Kimi K3 Fast
google/gemma-4-e2b · moonshotai/kimi-k3-fast-api
As of November 5, 2026, Gemma 4 E2B is the cheaper API on UberLLM: $0.0016 per million input tokens and $0.0032 per million output, versus $2.31 / $11.54 for Kimi K3 Fast, about 100% 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 Gemma 4 E2B to cut cost; choose Kimi K3 Fast when context size wins. Kimi K3 Fast carries the larger context window (1,000,000 vs 128,000 tokens), which can matter for long-document work.
Gemma 4 E2B vs Kimi K3 Fast, side by side
| Spec | Gemma 4 E2B | Kimi K3 Fast |
|---|---|---|
| Price · input / 1M | $0.0016 | $2.31 |
| Price · output / 1M | $0.0032 | $11.54 |
| Context length | 128,000 | 1,000,000 |
| Max output tokens | 64,000 | 131,072 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 96% off | 48.7% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Gemma 4 E2B vs Kimi K3 Fast — FAQ
Is Gemma 4 E2B or Kimi K3 Fast cheaper?
Gemma 4 E2B is cheaper on a blended token mix, by about 100%. 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 E2B and Kimi K3 Fast?
Gemma 4 E2B: $0.0016 in / $0.0032 out per 1M tokens. Kimi K3 Fast: $2.31 in / $11.54 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemma 4 E2B and Kimi K3 Fast 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.