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 estimateUnrankedNot in the 44-model eligible cohort#9 of 44$0.042 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.68Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokensNot reported$3.21Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,049K262K
Model facts checkedAug 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGemini Deep ResearchKimi K2.7 Code
DeveloperGoogle DeepMindMoonshot AI
FamilyGemini AgentsKimi K2 7
ModelGemini Deep ResearchKimi K2.7 Code
VersionGemini Deep ResearchKimi K2.7 Code
Lifecyclepreviewactive
ReleasedUnknown2026-06-11
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Video
Output modalitiesText, ImageText
Context window1,049K262K
Total parametersUnknown1T
Active parametersUnknown32B
LicenseUnknownmodified-mit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitiesgeneration, reasoning, research, toolsagents, chat, coding, reasoning, tools, vision

Gemini Deep Research Capabilities

generationreasoningresearchtools
Serving providers2
Canonical IDgoogle-deepmind/deep-research-preview-04-2026

Kimi K2.7 Code Capabilities

agentschatcodingreasoningtoolsvision
Serving providers4
Canonical IDmoonshotai/Kimi-K2.7-Code

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.

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