Gemini Deep Research Max vs Kimi K2.6
At a Glance
| Compare |  Gemini Deep Research MaxGoogle 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 Max | Kimi-K2.6 |
|---|---|---|
| Developer | Google DeepMind | Moonshot AI |
| Family | Gemini Agents | Kimi K2 6 |
| Model | Gemini Deep Research Max | Kimi-K2.6 |
| Version | Gemini Deep Research Max | 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 Max Capabilities
Kimi K2.6 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini Deep Research Max vs Kimi K2.6 FAQs
Is Gemini Deep Research Max or Kimi K2.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research Max 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 Max 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 Max or Kimi K2.6?+
Gemini Deep Research Max has the larger sourced context window. Gemini Deep Research Max supports 1,049K and Kimi K2.6 supports 262K.
Which performs better in benchmarks, Gemini Deep Research Max 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 Max 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 Max is not marked open weight; Kimi K2.6 is open weight.
Can Gemini Deep Research Max and Kimi K2.6 understand images?+
Gemini Deep Research Max 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 Max or Kimi K2.6?+
Neither has a larger sourced maximum output. Gemini Deep Research Max is 66K and Kimi K2.6 is —.
Do Gemini Deep Research Max and Kimi K2.6 support reasoning and tool use?+
Gemini Deep Research Max: 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 Max or Kimi K2.6?+
Gemini Deep Research Max 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 Max 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.