Gemini 3 Flash vs Grok Build 0.1

At a Glance

Compare
Gemini 3 FlashGoogle DeepMind
Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#1 of 44$0.0020 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.50Google AI · Aug 29, 2026$1.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$3.00Google AI · Aug 29, 2026$2.00Xai · Sep 3, 2026
Context windowMaximum documented tokens1,049K256K
Model facts checkedAug 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

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 FlashGrok Build 0.1
DeveloperGoogle DeepMindxAI
FamilyGemini 3Grok Build
ModelGemini 3 FlashGrok Build 0.1
VersionGemini 3 FlashGrok Build 0.1
Lifecyclepreviewpreview
ReleasedUnknown2026-05-29
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image
Output modalitiesTextText
Context window1,049K256K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Xai (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, structured_outputs, tools

Gemini 3 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3-flash-preview

Grok Build 0.1 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDxai/grok-build-0.1

Primary Evidence

Sources and Freshness

Questions

Gemini 3 Flash vs Grok Build 0.1 FAQs

Is Gemini 3 Flash or Grok Build 0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3 Flash and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3 Flash or Grok Build 0.1?+

Gemini 3 Flash is $0.50 and Grok Build 0.1 is $1.00 per million tokens, so Gemini 3 Flash is cheaper on this metric. Gemini 3 Flash is $3.00 and Grok Build 0.1 is $2.00 per million tokens, so Grok Build 0.1 is cheaper on this metric.

Which has a larger context window, Gemini 3 Flash or Grok Build 0.1?+

Gemini 3 Flash has the larger sourced context window. Gemini 3 Flash supports 1,049K and Grok Build 0.1 supports 256K.

Which performs better in benchmarks, Gemini 3 Flash or Grok Build 0.1?+

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

Can Gemini 3 Flash or Grok Build 0.1 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3 Flash is not marked open weight; Grok Build 0.1 is not marked open weight.

Can Gemini 3 Flash and Grok Build 0.1 understand images?+

Gemini 3 Flash is documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3 Flash or Grok Build 0.1?+

Neither has a larger sourced maximum output. Gemini 3 Flash is 66K and Grok Build 0.1 is —.

Do Gemini 3 Flash and Grok Build 0.1 support reasoning and tool use?+

Gemini 3 Flash: reasoning, tool calling, and image input. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3 Flash or Grok Build 0.1?+

Gemini 3 Flash has 2 sourced provider routes; Grok Build 0.1 has 1, so Gemini 3 Flash has broader tracked availability.

Which offers better value, Gemini 3 Flash or Grok Build 0.1?+

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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