Gemini 3.1 Pro vs Kimi K2 Thinking
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Google · Mar 2026
Google's flagship with the industry's largest context window — 2M tokens — and frontier multimodal reasoning at $2/$12.
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 3.1 Pro wins 1 of the 1 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 3.1 Pro also takes 2M 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 1–0
Specs & pricing
| Gemini 3.1 Pro | Kimi K2 Thinking | |
|---|---|---|
| modhub Index | — | 67.6 |
| Input price / 1M | $2 | $0.6 |
| Output price / 1M | $12 | $2.5 |
| Context window | 2M | 262K |
| Max output | 66K | — |
| Open weights | no | yes (Modified MIT) |
| Reasoning model | yes | yes |
| Multimodal input | text, image, audio, video | text |
| Knowledge cutoff | Nov 2025 | Apr 2025 |
| Released | Mar 2026 | 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 3.1 Pro or Kimi K2 Thinking?
- Gemini 3.1 Pro wins 1 of the 1 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 3.1 Pro also takes 2M 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 3.1 Pro or Kimi K2 Thinking?
- Gemini 3.1 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 3.1 Pro or Kimi K2 Thinking?
- On SWE-bench Verified — the standard agentic-coding benchmark — Gemini 3.1 Pro scores ~78% versus 71.3% for Kimi K2 Thinking, making Gemini 3.1 Pro the stronger pick for coding agents.