Gemini 2.5 Pro vs Grok Build 0.1

At a Glance

Compare
Gemini 2.5 ProGoogle 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$1.25Google AI · Aug 29, 2026$1.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$10.00Google 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 2.5 ProGrok Build 0.1
DeveloperGoogle DeepMindxAI
FamilyGemini 2 5Grok Build
ModelGemini 2.5 ProGrok Build 0.1
VersionGemini 2.5 ProGrok Build 0.1
Lifecycleactivepreview
ReleasedUnknown2026-05-29
Knowledge cutoff2025-01-01Unknown
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 2.5 Pro Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-2.5-pro

Grok Build 0.1 Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Gemini 2.5 Pro vs Grok Build 0.1 FAQs

Is Gemini 2.5 Pro or Grok Build 0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Pro 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 2.5 Pro or Grok Build 0.1?+

Gemini 2.5 Pro is $1.25 and Grok Build 0.1 is $1.00 per million tokens, so Grok Build 0.1 is cheaper on this metric. Gemini 2.5 Pro is $10.00 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 2.5 Pro or Grok Build 0.1?+

Gemini 2.5 Pro has the larger sourced context window. Gemini 2.5 Pro supports 1,049K and Grok Build 0.1 supports 256K.

Which performs better in benchmarks, Gemini 2.5 Pro 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 2.5 Pro or Grok Build 0.1 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 2.5 Pro is not marked open weight; Grok Build 0.1 is not marked open weight.

Can Gemini 2.5 Pro and Grok Build 0.1 understand images?+

Gemini 2.5 Pro 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 2.5 Pro or Grok Build 0.1?+

Neither has a larger sourced maximum output. Gemini 2.5 Pro is 66K and Grok Build 0.1 is —.

Do Gemini 2.5 Pro and Grok Build 0.1 support reasoning and tool use?+

Gemini 2.5 Pro: 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 2.5 Pro or Grok Build 0.1?+

Gemini 2.5 Pro has 2 sourced provider routes; Grok Build 0.1 has 1, so Gemini 2.5 Pro has broader tracked availability.

Which offers better value, Gemini 2.5 Pro 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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