Command A vs Antigravity Agent
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Command A | Antigravity Agent |
|---|---|---|
| Developer | Cohere | Google DeepMind |
| Family | Command A | Gemini Agents |
| Model | Command A | Antigravity Agent |
| Version | Command A | Antigravity Agent |
| Lifecycle | active | preview |
| Released | Unknown | Unknown |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 256,000 | 1,048,576 |
| Total parameters | 111,000,000,000 | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Cohere (Standard) | Google AI (Standard) |
| Capabilities | agents, chat, citations, multilingual, rag, structured_outputs, tools | generation, reasoning, tools |
13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Command A Capabilities
Antigravity Agent Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Command ACohere | vs | Command A VisionCohere | family variantstext |
| vs | Command ACohere | family variantstext | |
ERNIE 5.1Baidu | vs | Command ACohere | cross-developer peerstext |
ERNIE X1.1Baidu | vs | Command ACohere | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Antigravity AgentGoogle DeepMind | cross-developer peerstext |
ERNIE X1.1Baidu | vs | Antigravity AgentGoogle DeepMind | cross-developer peerstext |
Antigravity AgentGoogle DeepMind | vs | cross-developer peerstext | |
MiniMax-M3MiniMax | vs | Antigravity AgentGoogle DeepMind | cross-developer peerstext |
Command ACohere | vs | cross-developer peerstext | |
Command ACohere | vs | Devstral-2-123B-Instruct-2512Mistral AI | cross-developer peerstext |
| vs | Command ACohere | cross-developer peerstext | |
Command ACohere | vs | GLM-5.3Z.ai | cross-developer peerstext |
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 and Antigravity Agent supports 1,048,576.
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 recorded 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 and Antigravity Agent supports 65,536 output 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 1, a tie.
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.