Qwen3.8 2.4T A95B vs Antigravity Agent

At a Glance

Compare
Antigravity AgentGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Deepinfra · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$6.00Deepinfra · Sep 22, 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

FieldQwen3.8-2.4T-A95BAntigravity Agent
DeveloperQwenGoogle DeepMind
FamilyQwen3 8 2 4t A95bGemini Agents
ModelQwen3.8-2.4T-A95BAntigravity Agent
VersionQwen3.8-2.4T-A95BAntigravity Agent
Lifecycleactivepreview
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window262K1,049K
Total parameters2.4TUnknown
Active parameters95BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoning, toolsgeneration, reasoning, tools

Qwen3.8 2.4T A95B Capabilities

chatgenerationreasoningtools
Serving providers5
Canonical IDQwen/Qwen3.8-2.4T-A95B

Antigravity Agent Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 2.4T A95B vs Antigravity Agent FAQs

Is Qwen3.8 2.4T A95B or Antigravity Agent better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Antigravity Agent, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 2.4T A95B or Antigravity Agent?+

Only Qwen3.8 2.4T A95B has a directly sourced input price: $2.00 per million tokens. Only Qwen3.8 2.4T A95B has a directly sourced output price: $6.00 per million tokens.

Which has a larger context window, Qwen3.8 2.4T A95B or Antigravity Agent?+

Antigravity Agent has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and Antigravity Agent supports 1,049K.

Which performs better in benchmarks, Qwen3.8 2.4T A95B or Antigravity Agent?+

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

Can Qwen3.8 2.4T A95B or Antigravity Agent be self-hosted?+

Qwen3.8 2.4T A95B is the only model in this pair currently marked as self-hostable. Qwen3.8 2.4T A95B is open weight; Antigravity Agent is not marked open weight.

Can Qwen3.8 2.4T A95B and Antigravity Agent understand images?+

Qwen3.8 2.4T A95B 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, Qwen3.8 2.4T A95B or Antigravity Agent?+

Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Antigravity Agent is 66K.

Do Qwen3.8 2.4T A95B and Antigravity Agent support reasoning and tool use?+

Qwen3.8 2.4T A95B: reasoning and tool calling. Antigravity Agent: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 2.4T A95B or Antigravity Agent?+

Qwen3.8 2.4T A95B has 5 sourced provider routes; Antigravity Agent has 2, so Qwen3.8 2.4T A95B has broader tracked availability.

Which offers better value, Qwen3.8 2.4T A95B 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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