Command A vs Antigravity Agent

At a Glance

Compare
Command ACohere
Antigravity AgentGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#43 of 570.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 0.0–66.7UnrankedNot in the 57-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.50Cohere ↗ · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$10.00Cohere ↗ · Aug 29, 2026Not reported
Context windowMaximum documented tokens256K1,049K
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

FieldCommand AAntigravity Agent
DeveloperCohereGoogle DeepMind
FamilyCommand AGemini Agents
ModelCommand AAntigravity Agent
VersionCommand AAntigravity Agent
Lifecycleactivepreview
ReleasedUnknownUnknown
Knowledge cutoff2024-06-01Unknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window256K1,049K
Total parameters111BUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessCohere (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitiesagents, chat, citations, multilingual, rag, structured_outputs, toolsgeneration, reasoning, tools

Command A Capabilities

agentschatcitationsmultilingualragstructured outputstools
Serving providers1
Canonical IDcoherelabs/command-a-03-2025

Antigravity Agent Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Command A vs Antigravity Agent FAQs

Is Command A or Antigravity Agent better for coding?+

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

Which is cheaper, Command A or Antigravity Agent?+

Only Command A has a directly sourced input price: $2.50 per million tokens. Only Command A has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, Command A or Antigravity Agent?+

Antigravity Agent has the larger sourced context window. Command A supports 256,000 tokens and Antigravity Agent supports 1,048,576 tokens.

Which performs better in benchmarks, Command A or Antigravity Agent?+

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

Can Command A or Antigravity Agent be self-hosted?+

Both models have the same sourced self-hosting status: unsupported. Command A is not marked open weight; Antigravity Agent is not marked open weight.

Can Command A and Antigravity Agent understand images?+

Command A is not documented with image input; Antigravity Agent is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Command A or Antigravity Agent?+

Antigravity Agent has the larger sourced maximum output. Command A supports 8,000 tokens and Antigravity Agent supports 65,536 tokens.

Do Command A and Antigravity Agent support reasoning and tool use?+

Command A: tool calling. Antigravity Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Command A or Antigravity Agent?+

Command A has 1 sourced provider route; Antigravity Agent has 2, so Antigravity Agent has broader tracked availability.

Which offers better value, Command A or Antigravity Agent?+

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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