Gemini Deep Research vs Kimi K2.6
At a Glance
| Compare |  Gemini Deep ResearchGoogle DeepMind |  Kimi K2.6Moonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #32 of 4650.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.6–67.0 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #21 of 44$0.095 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #24 of 3850.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.7–58.4 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.75Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $3.50Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Gemini Deep Research | Kimi-K2.6 |
|---|---|---|
| Developer | Google DeepMind | Moonshot AI |
| Family | Gemini Agents | Kimi K2 6 |
| Model | Gemini Deep Research | Kimi-K2.6 |
| Version | Gemini Deep Research | Kimi-K2.6 |
| Lifecycle | preview | active |
| Released | Unknown | 2026-04-20 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image |
| Output modalities | Text, Image | 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) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | generation, reasoning, research, tools | chat, generation, reasoning, tools |
Gemini Deep Research Capabilities
Kimi K2.6 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini Deep Research vs Kimi K2.6 FAQs
Is Gemini Deep Research or Kimi K2.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research and Kimi K2.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini Deep Research or Kimi K2.6?+
Only Kimi K2.6 has a directly sourced input price: $0.75 per million tokens. Only Kimi K2.6 has a directly sourced output price: $3.50 per million tokens.
Which has a larger context window, Gemini Deep Research or Kimi K2.6?+
Gemini Deep Research has the larger sourced context window. Gemini Deep Research supports 1,049K and Kimi K2.6 supports 262K.
Which performs better in benchmarks, Gemini Deep Research or Kimi K2.6?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini Deep Research or Kimi K2.6 be self-hosted?+
Kimi K2.6 is the only model in this pair currently marked as self-hostable. Gemini Deep Research is not marked open weight; Kimi K2.6 is open weight.
Can Gemini Deep Research and Kimi K2.6 understand images?+
Gemini Deep Research is documented with image input; Kimi K2.6 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini Deep Research or Kimi K2.6?+
Neither has a larger sourced maximum output. Gemini Deep Research is 66K and Kimi K2.6 is —.
Do Gemini Deep Research and Kimi K2.6 support reasoning and tool use?+
Gemini Deep Research: reasoning, tool calling, and image input. Kimi K2.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini Deep Research or Kimi K2.6?+
Gemini Deep Research has 2 sourced provider routes; Kimi K2.6 has 5, so Kimi K2.6 has broader tracked availability.
Which offers better value, Gemini Deep Research or Kimi K2.6?+
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.