MiniMax-M3 vs Antigravity Agent
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | MiniMax-M3 | Antigravity Agent |
|---|---|---|
| Developer | MiniMax | Google DeepMind |
| Family | Minimax M3 | Gemini Agents |
| Model | MiniMax-M3 | Antigravity Agent |
| Version | MiniMax-M3 | Antigravity Agent |
| Lifecycle | active | preview |
| Released | 2026-06-01 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,048,576 | 1,048,576 |
| Total parameters | 427,040,140,160 | Unknown |
| Active parameters | 23,000,000,000 | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Openrouter (Standard) | Google AI (Standard) |
| Capabilities | chat, generation, reasoning, tools | generation, reasoning, tools |
13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
MiniMax-M3 Capabilities
Antigravity Agent Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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MiniMax-M3MiniMax | vs |  Mistral-Small-4-119B-2603Mistral AI | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs | cross-developer peersimage, text | |
MiniMax-M3MiniMax | vs | cross-developer peersimage, text | |
MiniMax-M3MiniMax | vs | Claude Fable 5Anthropic | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs | Claude Opus 4.8Anthropic | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs | Claude Opus 5Anthropic | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs | Claude Sonnet 5Anthropic | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs | cross-developer peersimage, text | |
MiniMax-M2.7MiniMax | vs | MiniMax-M3MiniMax | family variantstext |
MiniMax-M2.5MiniMax | vs | MiniMax-M3MiniMax | family variantstext |
 ERNIE 5.1Baidu | vs | Antigravity AgentGoogle DeepMind | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
MiniMax-M3 vs Antigravity Agent FAQs
Is MiniMax-M3 or Antigravity Agent better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax-M3 and Antigravity Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MiniMax-M3 or Antigravity Agent?+
Only MiniMax-M3 has a directly sourced input price: $0.28 per million tokens. Only MiniMax-M3 has a directly sourced output price: $1.10 per million tokens.
Which has a larger context window, MiniMax-M3 or Antigravity Agent?+
Neither model has a larger sourced context window in this comparison. MiniMax-M3 is 1,048,576 and Antigravity Agent is 1,048,576.
Which performs better in benchmarks, MiniMax-M3 or Antigravity Agent?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MiniMax-M3 or Antigravity Agent be self-hosted?+
MiniMax-M3 is the only model in this pair currently marked as self-hostable. MiniMax-M3 is open weight; Antigravity Agent is not marked open weight.
Can MiniMax-M3 and Antigravity Agent understand images?+
MiniMax-M3 is documented with image input; Antigravity Agent is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MiniMax-M3 or Antigravity Agent?+
Neither has a larger sourced maximum output. MiniMax-M3 is — and Antigravity Agent is 65,536.
Do MiniMax-M3 and Antigravity Agent support reasoning and tool use?+
MiniMax-M3: reasoning, tool calling, and image input. Antigravity Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, MiniMax-M3 or Antigravity Agent?+
MiniMax-M3 has 2 sourced provider routes; Antigravity Agent has 1, so MiniMax-M3 has broader tracked availability.
Which offers better value, MiniMax-M3 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.