LLM Reference

Antigravity Agent vs RWKV-7 Goose 1.5B

Antigravity Agent (2026) and RWKV-7 Goose 1.5B (2025) are frontier reasoning models from Google DeepMind and RWKV Project. Antigravity Agent ships a 1.05m-token context window, while RWKV-7 Goose 1.5B ships a Infinite-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

Antigravity Agent is safer overall; choose RWKV-7 Goose 1.5B when provider fit matters.

Decision scorecard

Local evidence first
SignalAntigravity AgentRWKV-7 Goose 1.5B
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsgeneral production evaluation
Decision fitCoding, RAG, and AgentsLong context
Context window1.05mInfinite
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Antigravity Agent when...
  • Antigravity Agent has broader tracked provider coverage for fallback and procurement flexibility.
  • Antigravity Agent uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Antigravity Agent for Coding, RAG, and Agents.
Choose RWKV-7 Goose 1.5B when...
  • RWKV-7 Goose 1.5B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Local decision data tags RWKV-7 Goose 1.5B for Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Antigravity Agent

Unavailable

No complete token price in local provider data

RWKV-7 Goose 1.5B

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Antigravity Agent -> RWKV-7 Goose 1.5B
  • No overlapping tracked provider route is sourced for Antigravity Agent and RWKV-7 Goose 1.5B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
RWKV-7 Goose 1.5B -> Antigravity Agent
  • No overlapping tracked provider route is sourced for RWKV-7 Goose 1.5B and Antigravity Agent; plan for SDK, billing, or endpoint changes.
  • Antigravity Agent adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2026-05-192025-03-18
Context window1.05mInfinite
Parameters1.5B
Architecture-decoder only
LicenseProprietaryApache 2.0
Knowledge cutoff2025-01-

Pricing and availability

Pricing attributeAntigravity AgentRWKV-7 Goose 1.5B
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityAntigravity AgentRWKV-7 Goose 1.5B
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingNoNo
Tool useYesNo
Structured outputsNoNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Antigravity Agent, multimodal input: Antigravity Agent, reasoning mode: Antigravity Agent, tool use: Antigravity Agent, and code execution: Antigravity Agent. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Antigravity Agent has no token price sourced yet and RWKV-7 Goose 1.5B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Antigravity Agent when coding workflow support and broader provider choice are central to the workload. Choose RWKV-7 Goose 1.5B when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Is Antigravity Agent or RWKV-7 Goose 1.5B open source?

Antigravity Agent is listed under Proprietary. RWKV-7 Goose 1.5B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Antigravity Agent or RWKV-7 Goose 1.5B?

Antigravity Agent has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Antigravity Agent or RWKV-7 Goose 1.5B?

Antigravity Agent has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, Antigravity Agent or RWKV-7 Goose 1.5B?

Antigravity Agent has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, Antigravity Agent or RWKV-7 Goose 1.5B?

Antigravity Agent has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Antigravity Agent and RWKV-7 Goose 1.5B?

Antigravity Agent is available on Google AI Studio. RWKV-7 Goose 1.5B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.