Antigravity Agent vs Gemini 2.5 Pro

At a Glance

Compare
Antigravity AgentGoogle DeepMind
Gemini 2.5 ProGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$1.25Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$10.00Google AI · Aug 29, 2026
Context windowMaximum documented tokens1,049K1,049K
Model facts checkedAug 29, 2026View model evidence →Aug 29, 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 AgentGemini 2.5 Pro
DeveloperGoogle DeepMindGoogle DeepMind
FamilyGemini AgentsGemini 2 5
ModelAntigravity AgentGemini 2.5 Pro
VersionAntigravity AgentGemini 2.5 Pro
Lifecyclepreviewactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2025-01-01
Input modalitiesText, ImageText, Image, Video, Audio, Document
Output modalitiesTextText
Context window1,049K1,049K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitiesgeneration, reasoning, toolschat, generation, reasoning, tools

Antigravity Agent Capabilities

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

Gemini 2.5 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

Primary Evidence

Sources and Freshness

Questions

Antigravity Agent vs Gemini 2.5 Pro FAQs

Is Antigravity Agent or Gemini 2.5 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Antigravity Agent and Gemini 2.5 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Antigravity Agent or Gemini 2.5 Pro?+

Only Gemini 2.5 Pro has a directly sourced input price: $1.25 per million tokens. Only Gemini 2.5 Pro has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, Antigravity Agent or Gemini 2.5 Pro?+

Neither model has a larger sourced context window in this comparison. Antigravity Agent is 1,049K and Gemini 2.5 Pro is 1,049K.

Which performs better in benchmarks, Antigravity Agent or Gemini 2.5 Pro?+

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

Can Antigravity Agent or Gemini 2.5 Pro be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Antigravity Agent is not marked open weight; Gemini 2.5 Pro is not marked open weight.

Can Antigravity Agent and Gemini 2.5 Pro understand images?+

Antigravity Agent is documented with image input; Gemini 2.5 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Antigravity Agent or Gemini 2.5 Pro?+

Neither has a larger sourced maximum output. Antigravity Agent is 66K and Gemini 2.5 Pro is 66K.

Do Antigravity Agent and Gemini 2.5 Pro support reasoning and tool use?+

Antigravity Agent: reasoning, tool calling, and image input. Gemini 2.5 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Antigravity Agent or Gemini 2.5 Pro?+

Antigravity Agent has 2 sourced provider routes; Gemini 2.5 Pro has 2, a tie.

Which offers better value, Antigravity Agent or Gemini 2.5 Pro?+

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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