Gemini 3.8 Flash vs Gemini Robotics 2

At a Glance

Compare
Gemini 3.8 FlashGoogle DeepMind
Gemini Robotics 2Google DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#8 of 4682.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 54.7–88.0UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#26 of 44$0.160 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#8 of 3860.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.7–63.4UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Context windowMaximum documented tokens1,049KNot reported
Model facts checkedSep 2, 2026View model evidence →Aug 29, 2026View model evidence →
Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

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

FieldGemini 3.8 FlashGemini Robotics 2
DeveloperGoogle DeepMindGoogle DeepMind
FamilyGemini 3Gemini Robotics
ModelGemini 3.8 FlashGemini Robotics 2
VersionGemini 3.8 Flash2
Lifecycleactivepreview
Released2026-09-022026-07-30
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Robot state
Output modalitiesTextRobot action
Context window1,049KUnknown
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesUnknown
Self-hostableNoUnknown
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitieschat, code_execution, computer_use, generation, reasoning, structured_outputs, toolscross-embodiment, dexterous-manipulation, whole-body-control, multi-robot-collaboration
Robotics model typeUnknownVision-language-action model
Action representationUnknownMotor-control actions
Control architectureUnknownVision-language-action model
Inference locationUnknownUnknown
Native control rate (Hz)UnknownUnknown
Supported embodimentsUnknownApptronik Apollo 2 with Inspire hands, Apptronik Apollo 2 with Sharpa hands, Franka Duo with Robotiq gripper
Training dataUnknownNot disclosed in the cited model page.

Gemini 3.8 Flash Capabilities

chatcode executioncomputer usegenerationreasoningstructured outputstools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDgoogle-deepmind/gemini-3.8-flash

Gemini Robotics 2 Capabilities

cross-embodimentdexterous-manipulationwhole-body-controlmulti-robot-collaboration
Model typeVision-language-action model
InferenceUnknown
Action representationMotor-control actions
Supported embodiments3
Canonical IDgoogle-deepmind/gemini-robotics-2

Primary Evidence

Sources and Freshness

Questions

Gemini 3.8 Flash vs Gemini Robotics 2 FAQs

Is Gemini 3.8 Flash or Gemini Robotics 2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash and Gemini Robotics 2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.8 Flash or Gemini Robotics 2?+

Only Gemini 3.8 Flash has a directly sourced input price: $0.75 per million tokens. Only Gemini 3.8 Flash has a directly sourced output price: $3.75 per million tokens.

Which has a larger context window, Gemini 3.8 Flash or Gemini Robotics 2?+

Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash is 1,049K and Gemini Robotics 2 is —.

Which performs better in benchmarks, Gemini 3.8 Flash or Gemini Robotics 2?+

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

Can Gemini 3.8 Flash or Gemini Robotics 2 be self-hosted?+

Neither model is the only model in this pair currently marked as self-hostable. Gemini 3.8 Flash is not marked open weight; Gemini Robotics 2 is not marked open weight.

Can Gemini 3.8 Flash and Gemini Robotics 2 understand images?+

Gemini 3.8 Flash is documented with image input; Gemini Robotics 2 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.8 Flash or Gemini Robotics 2?+

Neither has a larger sourced maximum output. Gemini 3.8 Flash is 66K and Gemini Robotics 2 is —.

Do Gemini 3.8 Flash and Gemini Robotics 2 support reasoning and tool use?+

Gemini 3.8 Flash: reasoning, tool calling, and image input. Gemini Robotics 2: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.8 Flash or Gemini Robotics 2?+

Gemini 3.8 Flash has 2 sourced provider routes; Gemini Robotics 2 has 0, so Gemini 3.8 Flash has broader tracked availability.

Which offers better value, Gemini 3.8 Flash or Gemini Robotics 2?+

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.

Send Feedback