Gemini Deep Research vs Kimi K2.7 Code
At a Glance
| Compare | Gemini Deep ResearchGoogle DeepMind | Kimi K2.7 CodeMoonshot AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #9 of 44$0.042 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.68Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $3.21Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 3, 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 K2.7 Code |
|---|---|---|
| Developer | Google DeepMind | Moonshot AI |
| Family | Gemini Agents | Kimi K2 7 |
| Model | Gemini Deep Research | Kimi K2.7 Code |
| Version | Gemini Deep Research | Kimi K2.7 Code |
| Lifecycle | preview | active |
| Released | Unknown | 2026-06-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Video |
| Output modalities | Text, Image | Text |
| Context window | 1,049K | 262K |
| Total parameters | Unknown | 1T |
| Active parameters | Unknown | 32B |
| License | Unknown | modified-mit |
| 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), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | generation, reasoning, research, tools | agents, chat, coding, reasoning, tools, vision |
Gemini Deep Research Capabilities
Kimi K2.7 Code Capabilities
Primary Evidence
Sources and Freshness
Questions
Gemini Deep Research vs Kimi K2.7 Code FAQs
Is Gemini Deep Research or Kimi K2.7 Code better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research and Kimi K2.7 Code, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini Deep Research or Kimi K2.7 Code?+
Only Kimi K2.7 Code has a directly sourced input price: $0.68 per million tokens. Only Kimi K2.7 Code has a directly sourced output price: $3.21 per million tokens.
Which has a larger context window, Gemini Deep Research or Kimi K2.7 Code?+
Gemini Deep Research has the larger sourced context window. Gemini Deep Research supports 1,049K and Kimi K2.7 Code supports 262K.
Which performs better in benchmarks, Gemini Deep Research or Kimi K2.7 Code?+
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 K2.7 Code be self-hosted?+
Kimi K2.7 Code is the only model in this pair currently marked as self-hostable. Gemini Deep Research is not marked open weight; Kimi K2.7 Code is open weight.
Can Gemini Deep Research and Kimi K2.7 Code understand images?+
Gemini Deep Research is documented with image input; Kimi K2.7 Code is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini Deep Research or Kimi K2.7 Code?+
Neither has a larger sourced maximum output. Gemini Deep Research is 66K and Kimi K2.7 Code is —.
Do Gemini Deep Research and Kimi K2.7 Code support reasoning and tool use?+
Gemini Deep Research: reasoning, tool calling, and image input. Kimi K2.7 Code: 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 K2.7 Code?+
Gemini Deep Research has 2 sourced provider routes; Kimi K2.7 Code has 4, so Kimi K2.7 Code has broader tracked availability.
Which offers better value, Gemini Deep Research or Kimi K2.7 Code?+
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.