Gemma 4 E2B vs Kimi K3
google/gemma-4-e2b · moonshotai/kimi-k3
As of November 2, 2026, Gemma 4 E2B is the cheaper API on UberLLM: $0.0020 per million input tokens and $0.0040 per million output, versus $0.0169 / $0.6629 for Kimi K3, about 99% 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 when context size wins. Kimi K3 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, side by side
| Spec | Gemma 4 E2B | Kimi K3 |
|---|---|---|
| Price · input / 1M | $0.0020 | $0.0169 |
| Price · output / 1M | $0.0040 | $0.6629 |
| Context length | 128,000 | 1,000,000 |
| Max output tokens | 128,000 | 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 | 95.1% off | 94.1% off |
| First token, median (7 days) | — | 3.3 s (1,158 requests) |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 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 — FAQ
Is Gemma 4 E2B or Kimi K3 cheaper?
Gemma 4 E2B 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 4 E2B and Kimi K3?
Gemma 4 E2B: $0.0020 in / $0.0040 out per 1M tokens. Kimi K3: $0.0169 in / $0.6629 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemma 4 E2B and Kimi K3 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.