Qwen3.5 397B A17B vs Antigravity Agent

At a Glance

Compare
Antigravity AgentGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.45Deepinfra · Sep 23, 2026Not reported
Output priceFrom · USD / 1M tokens$3.00Deepinfra · Sep 23, 2026Not reported
Context windowMaximum documented tokens262K1,049K
Model facts checkedAug 28, 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

FieldQwen3.5-397B-A17BAntigravity Agent
DeveloperQwenGoogle DeepMind
FamilyQwen3 5 397b A17bGemini Agents
ModelQwen3.5-397B-A17BAntigravity Agent
VersionQwen3.5-397B-A17BAntigravity Agent
Lifecycleactivepreview
Released2026-02-15Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K1,049K
Total parameters403.4BUnknown
Active parameters17BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoning, toolsgeneration, reasoning, tools

Qwen3.5 397B A17B Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDQwen/Qwen3.5-397B-A17B

Antigravity Agent Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 397B A17B vs Antigravity Agent FAQs

Is Qwen3.5 397B A17B or Antigravity Agent better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Antigravity Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 397B A17B or Antigravity Agent?+

Only Qwen3.5 397B A17B has a directly sourced input price: $0.45 per million tokens. Only Qwen3.5 397B A17B has a directly sourced output price: $3.00 per million tokens.

Which has a larger context window, Qwen3.5 397B A17B or Antigravity Agent?+

Antigravity Agent has the larger sourced context window. Qwen3.5 397B A17B supports 262K and Antigravity Agent supports 1,049K.

Which performs better in benchmarks, Qwen3.5 397B A17B or Antigravity Agent?+

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

Can Qwen3.5 397B A17B or Antigravity Agent be self-hosted?+

Qwen3.5 397B A17B is the only model in this pair currently marked as self-hostable. Qwen3.5 397B A17B is open weight; Antigravity Agent is not marked open weight.

Can Qwen3.5 397B A17B and Antigravity Agent understand images?+

Qwen3.5 397B A17B 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, Qwen3.5 397B A17B or Antigravity Agent?+

Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and Antigravity Agent is 66K.

Do Qwen3.5 397B A17B and Antigravity Agent support reasoning and tool use?+

Qwen3.5 397B A17B: 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, Qwen3.5 397B A17B or Antigravity Agent?+

Qwen3.5 397B A17B has 4 sourced provider routes; Antigravity Agent has 2, so Qwen3.5 397B A17B has broader tracked availability.

Which offers better value, Qwen3.5 397B A17B 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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