Antigravity Agent vs Kimi K2 Thinking

At a Glance

Compare
Antigravity AgentGoogle DeepMind
Kimi K2 ThinkingMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.60Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$2.50Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,049K262K
Model facts checkedAug 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

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

FieldAntigravity AgentKimi-K2-Thinking
DeveloperGoogle DeepMindMoonshot AI
FamilyGemini AgentsKimi K2 Thinking
ModelAntigravity AgentKimi-K2-Thinking
VersionAntigravity AgentKimi-K2-Thinking
Lifecyclepreviewactive
ReleasedUnknown2025-11-06
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,049K262K
Total parametersUnknown1T
Active parametersUnknown32B
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitiesgeneration, reasoning, toolschat, generation, reasoning, tools

Antigravity Agent Capabilities

generationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/antigravity-preview-05-2026

Kimi K2 Thinking Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Thinking

Primary Evidence

Sources and Freshness

Questions

Antigravity Agent vs Kimi K2 Thinking FAQs

Is Antigravity Agent or Kimi K2 Thinking better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Antigravity Agent and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Antigravity Agent or Kimi K2 Thinking?+

Only Kimi K2 Thinking has a directly sourced input price: $0.60 per million tokens. Only Kimi K2 Thinking has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, Antigravity Agent or Kimi K2 Thinking?+

Antigravity Agent has the larger sourced context window. Antigravity Agent supports 1,049K and Kimi K2 Thinking supports 262K.

Which performs better in benchmarks, Antigravity Agent or Kimi K2 Thinking?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Antigravity Agent or Kimi K2 Thinking be self-hosted?+

Kimi K2 Thinking is the only model in this pair currently marked as self-hostable. Antigravity Agent is not marked open weight; Kimi K2 Thinking is open weight.

Can Antigravity Agent and Kimi K2 Thinking understand images?+

Antigravity Agent is documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Antigravity Agent or Kimi K2 Thinking?+

Kimi K2 Thinking has the larger sourced maximum output: Antigravity Agent supports 66K and Kimi K2 Thinking supports 131K output tokens.

Do Antigravity Agent and Kimi K2 Thinking support reasoning and tool use?+

Antigravity Agent: reasoning, tool calling, and image input. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Antigravity Agent or Kimi K2 Thinking?+

Antigravity Agent has 2 sourced provider routes; Kimi K2 Thinking has 2, a tie.

Which offers better value, Antigravity Agent or Kimi K2 Thinking?+

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.

Send Feedback