Antigravity Agent vs GPT-5.4
At a Glance
| Compare |  Antigravity AgentGoogle DeepMind |  GPT-5.4OpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #14 of 4672.8 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #36 of 44$0.274 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #25 of 3850.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $2.50Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $15.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,050K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 3, 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
Side-by-Side Facts
| Field | Antigravity Agent | GPT-5.4 |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemini Agents | Gpt 5 4 |
| Model | Antigravity Agent | GPT-5.4 |
| Version | Antigravity Agent | GPT-5.4 |
| Lifecycle | preview | active |
| Released | Unknown | 2026-03-05 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,050K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Antigravity Agent Capabilities
GPT-5.4 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Antigravity Agent vs GPT-5.4 FAQs
Is Antigravity Agent or GPT-5.4 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Antigravity Agent and GPT-5.4, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Antigravity Agent or GPT-5.4?+
Only GPT-5.4 has a directly sourced input price: $2.50 per million tokens. Only GPT-5.4 has a directly sourced output price: $15.00 per million tokens.
Which has a larger context window, Antigravity Agent or GPT-5.4?+
GPT-5.4 has the larger sourced context window. Antigravity Agent supports 1,049K and GPT-5.4 supports 1,050K.
Which performs better in benchmarks, Antigravity Agent or GPT-5.4?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Antigravity Agent or GPT-5.4 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Antigravity Agent is not marked open weight; GPT-5.4 is not marked open weight.
Can Antigravity Agent and GPT-5.4 understand images?+
Antigravity Agent is documented with image input; GPT-5.4 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Antigravity Agent or GPT-5.4?+
GPT-5.4 has the larger sourced maximum output: Antigravity Agent supports 66K and GPT-5.4 supports 128K output tokens.
Do Antigravity Agent and GPT-5.4 support reasoning and tool use?+
Antigravity Agent: reasoning, tool calling, and image input. GPT-5.4: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Antigravity Agent or GPT-5.4?+
Antigravity Agent has 2 sourced provider routes; GPT-5.4 has 2, a tie.
Which offers better value, Antigravity Agent or GPT-5.4?+
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.