Gemini 3.1 Pro vs Kimi K3
Market Position
LiveBench Quality Versus Estimated Output Cost
This current-market view appears only when both compared models are reviewed current models with publisher-reported LiveBench token accounting and current sourced USD output rates.
Benchmark Performance
Available Benchmarks
| Benchmark | Gemini 3.1 Pro | Kimi-K3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,480.10100% of row best · rating · gemini-3.1-pro-preview; 95% CI [1476.89767236, 1483.30025658]; votes 102763; rank 11 | 1,476.31100% of row best · rating · kimi-k3-max; 95% CI [1470.86166728, 1481.76254962]; votes 17895; rank 16 |
| LiveBench2026-06-25 · overall · leader | 81.66100% of row best · percent · gemini-3.1-pro-preview-high · 13,380 output tokens / case | 81.0299% of row best · percent · kimi-k3 · 13,647 output tokens / case |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 79.8991% of row best · points · Gemini 3.1 Pro (high thinking) · 10,009 output tokens / case | 88.19100% of row best · points · Kimi K3 · 15,023 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark winTied overall | 1 benchmark winTied overall |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Gemini 3.1 Pro | Kimi-K3 |
|---|---|---|
| Developer | Google DeepMind | Moonshot AI |
| Family | Gemini 3 | Kimi K3 |
| Model | Gemini 3.1 Pro | Kimi-K3 |
| Version | Gemini 3.1 Pro | Kimi-K3 |
| Lifecycle | preview | active |
| Released | Unknown | 2026-07-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | Unknown | 2.8T |
| Active parameters | Unknown | 104B |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemini 3.1 Pro Capabilities
Kimi K3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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Gemini 3.1 ProGoogle DeepMind | vs | Kimi-K2.6Moonshot AI | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | GPT-5.6 SolOpenAI | 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 |
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Gemini 3.1 ProGoogle DeepMind | vs | Qwen3.8-MaxQwen | 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 K3 FAQs
Is Gemini 3.1 Pro or Kimi K3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Kimi K3, 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 K3?+
Gemini 3.1 Pro is $2.00 and Kimi K3 is $2.85 per million tokens, so Gemini 3.1 Pro is cheaper on this metric. Gemini 3.1 Pro is $12.00 and Kimi K3 is $14.25 per million tokens, so Gemini 3.1 Pro is cheaper on this metric.
Which has a larger context window, Gemini 3.1 Pro or Kimi K3?+
Neither model has a larger sourced context window in this comparison. Gemini 3.1 Pro is 1,049K and Kimi K3 is 1,049K.
Which performs better in benchmarks, Gemini 3.1 Pro or Kimi K3?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can Gemini 3.1 Pro or Kimi K3 be self-hosted?+
Kimi K3 is the only model in this pair currently marked as self-hostable. Gemini 3.1 Pro is not marked open weight; Kimi K3 is open weight.
Can Gemini 3.1 Pro and Kimi K3 understand images?+
Gemini 3.1 Pro is documented with image input; Kimi K3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Pro or Kimi K3?+
Neither has a larger sourced maximum output. Gemini 3.1 Pro is 66K and Kimi K3 is —.
Do Gemini 3.1 Pro and Kimi K3 support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. Kimi K3: reasoning and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Pro or Kimi K3?+
Gemini 3.1 Pro has 2 sourced provider routes; Kimi K3 has 5, so Kimi K3 has broader tracked availability.
Which offers better value, Gemini 3.1 Pro or Kimi K3?+
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.

