Gemini 3.1 Pro vs Kimi K2 Thinking
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Gemini 3.1 Pro | Kimi-K2-Thinking |
|---|---|---|
| CostLower is better · Published-token output estimate | #22 of 36$0.161 per LiveBench case | UnrankedNot in the 36-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Gemini 3.1 Pro | Kimi-K2-Thinking |
|---|---|---|
| Developer | Google DeepMind | Moonshot AI |
| Family | Gemini 3 | Kimi K2 Thinking |
| Model | Gemini 3.1 Pro | Kimi-K2-Thinking |
| Version | Gemini 3.1 Pro | Kimi-K2-Thinking |
| Lifecycle | preview | active |
| Released | Unknown | 2025-11-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | Unknown | 1T |
| Active parameters | Unknown | 32B |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemini 3.1 Pro Capabilities
Kimi K2 Thinking Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Gemini 2.5 ProGoogle DeepMind | vs | Gemini 3.1 ProGoogle DeepMind | family variantstext |
Gemini 3.1 ProGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
 DeepSeek-V4-ProDeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs Kimi K2 Thinking FAQs
Is Gemini 3.1 Pro or Kimi K2 Thinking better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Pro or Kimi K2 Thinking?+
Gemini 3.1 Pro is $2.00 and Kimi K2 Thinking is $0.60 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Gemini 3.1 Pro is $12.00 and Kimi K2 Thinking is $2.50 per million tokens, so Kimi K2 Thinking is cheaper on this metric.
Which has a larger context window, Gemini 3.1 Pro or Kimi K2 Thinking?+
Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,049K and Kimi K2 Thinking supports 262K.
Which performs better in benchmarks, Gemini 3.1 Pro or Kimi K2 Thinking?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.1 Pro or Kimi K2 Thinking be self-hosted?+
Kimi K2 Thinking is the only model in this pair currently marked as self-hostable. Gemini 3.1 Pro is not marked open weight; Kimi K2 Thinking is open weight.
Can Gemini 3.1 Pro and Kimi K2 Thinking understand images?+
Gemini 3.1 Pro is documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Pro or Kimi K2 Thinking?+
Kimi K2 Thinking has the larger sourced maximum output: Gemini 3.1 Pro supports 66K and Kimi K2 Thinking supports 131K output tokens.
Do Gemini 3.1 Pro and Kimi K2 Thinking support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Pro or Kimi K2 Thinking?+
Gemini 3.1 Pro has 2 sourced provider routes; Kimi K2 Thinking has 2, a tie.
Which offers better value, Gemini 3.1 Pro or Kimi K2 Thinking?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.