Gemini Deep Research vs Grok Build 0.1
At a Glance
| Compare |  Gemini Deep ResearchGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #1 of 44$0.0020 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,049K | 256K |
| Model facts checked | Aug 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
Side-by-Side Facts
| Field | Gemini Deep Research | Grok Build 0.1 |
|---|---|---|
| Developer | Google DeepMind | xAI |
| Family | Gemini Agents | Grok Build |
| Model | Gemini Deep Research | Grok Build 0.1 |
| Version | Gemini Deep Research | Grok Build 0.1 |
| Lifecycle | preview | preview |
| Released | Unknown | 2026-05-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image |
| Output modalities | Text, Image | Text |
| Context window | 1,049K | 256K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Xai (Standard) |
| Capabilities | generation, reasoning, research, tools | chat, generation, reasoning, structured_outputs, tools |
Gemini Deep Research Capabilities
Grok Build 0.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini Deep Research vs Grok Build 0.1 FAQs
Is Gemini Deep Research or Grok Build 0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research 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 Deep Research or Grok Build 0.1?+
Only Grok Build 0.1 has a directly sourced input price: $1.00 per million tokens. Only Grok Build 0.1 has a directly sourced output price: $2.00 per million tokens.
Which has a larger context window, Gemini Deep Research or Grok Build 0.1?+
Gemini Deep Research has the larger sourced context window. Gemini Deep Research supports 1,049K and Grok Build 0.1 supports 256K.
Which performs better in benchmarks, Gemini Deep Research 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 Deep Research or Grok Build 0.1 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini Deep Research is not marked open weight; Grok Build 0.1 is not marked open weight.
Can Gemini Deep Research and Grok Build 0.1 understand images?+
Gemini Deep Research 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 Deep Research or Grok Build 0.1?+
Neither has a larger sourced maximum output. Gemini Deep Research is 66K and Grok Build 0.1 is —.
Do Gemini Deep Research and Grok Build 0.1 support reasoning and tool use?+
Gemini Deep Research: 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 Deep Research or Grok Build 0.1?+
Gemini Deep Research has 2 sourced provider routes; Grok Build 0.1 has 1, so Gemini Deep Research has broader tracked availability.
Which offers better value, Gemini Deep Research 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.