Gemini 3 Pro vs Kimi K2 Thinking
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Google · Nov 2025
Google's November 2025 frontier breakout — 91.9% GPQA Diamond and 37.5% HLE made it the reasoning leader of its generation.
Moonshot AI · Nov 2025
A trillion-parameter open reasoning agent that can chain 200–300 tool calls — the open-weights agentic standout of late 2025.
The verdict
Gemini 3 Pro wins 5 of the 5 benchmarks these models share, against 0 for Kimi K2 Thinking. On price the gap is dramatic: Kimi K2 Thinking works out roughly 4.2x cheaper per blended million tokens. Gemini 3 Pro also takes 1M of context versus 262K for Kimi K2 Thinking. And Kimi K2 Thinking is open-weights (Modified MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Benchmark head-to-head 5–0
Specs & pricing
| Gemini 3 Pro | Kimi K2 Thinking | |
|---|---|---|
| modhub Index | 73.6 | 67.6 |
| Input price / 1M | $2 | $0.6 |
| Output price / 1M | $12 | $2.5 |
| Context window | 1M | 262K |
| Max output | 66K | — |
| Open weights | no | yes (Modified MIT) |
| Reasoning model | yes | yes |
| Multimodal input | text, image, audio, video | text |
| Knowledge cutoff | Jan 2025 | Apr 2025 |
| Released | Nov 2025 | Nov 2025 |
| Example monthly cost* | $38.00 | $9.75 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, Gemini 3 Pro or Kimi K2 Thinking?
- Gemini 3 Pro wins 5 of the 5 benchmarks these models share, against 0 for Kimi K2 Thinking. On price the gap is dramatic: Kimi K2 Thinking works out roughly 4.2x cheaper per blended million tokens. Gemini 3 Pro also takes 1M of context versus 262K for Kimi K2 Thinking. And Kimi K2 Thinking is open-weights (Modified MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
- Which is cheaper, Gemini 3 Pro or Kimi K2 Thinking?
- Gemini 3 Pro costs $2/$12 per million input/output tokens, while Kimi K2 Thinking costs $0.6/$2.5. For a typical workload of 10M input and 1.5M output tokens per month, that's $38.00 versus $9.75.
- Which model is better for coding, Gemini 3 Pro or Kimi K2 Thinking?
- On SWE-bench Verified — the standard agentic-coding benchmark — Gemini 3 Pro scores 76.2% versus 71.3% for Kimi K2 Thinking, making Gemini 3 Pro the stronger pick for coding agents.