Gemma 3 27B vs Kimi K2 Thinking
google/gemma-3-27b-it · moonshotai/kimi-k2-thinking
As of October 27, 2026, Gemma 3 27B is the cheaper API on UberLLM: $0.0008 per million input tokens and $0.0020 per million output, versus $0.0300 / $0.1250 for Kimi K2 Thinking — about 98% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with no UberLLM fee added, so the price you see is the price you pay. Choose Gemma 3 27B to cut cost; choose Kimi K2 Thinking when context size wins — Kimi K2 Thinking carries the larger context window (262,144 vs 40,000 tokens), which can matter for long-document work.
Gemma 3 27B vs Kimi K2 Thinking, side by side
| Spec | Gemma 3 27B | Kimi K2 Thinking |
|---|---|---|
| Price · input / 1M | $0.0008 | $0.0300 |
| Price · output / 1M | $0.0020 | $0.1250 |
| Context length | 40,000 | 262,144 |
| Max output tokens | 4,096 | 32,768 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | — | Yes |
| Cheapest seller | UberLLM | UberLLM |
| % off list | 99% off | 95% off |
Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 27, 2026.
Gemma 3 27B vs Kimi K2 Thinking — FAQ
Is Gemma 3 27B or Kimi K2 Thinking cheaper?
Gemma 3 27B is cheaper on a blended token mix, by about 98%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.
What's the price difference between Gemma 3 27B and Kimi K2 Thinking?
Gemma 3 27B: $0.0008 in / $0.0020 out per 1M tokens. Kimi K2 Thinking: $0.0300 in / $0.1250 out per 1M tokens. That's roughly a 98% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemma 3 27B and Kimi K2 Thinking 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.