Google Gemini 3 family vs xAI Grok 4

Google Gemini 3 family vs xAI Grok 4: side-by-side comparison of two foundation models (substrate reference) systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.

Google Gemini 3 family · xAI Grok 4

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Cost & capability

Google Gemini 3 familyxAI Grok 4
Capability bandfrontierfrontier
Capability composite9388
Cost tiermidpremium
$/Mtok input1.253
$/Mtok output1015
Use casesScoped Agentic, Code Generation Focused, Analytical Summarization, Memory Augmented ChatScoped Agentic, Code Generation Focused, Analytical Summarization, Memory Augmented Chat

Where they differ (13)

Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.

Google Gemini 3 familyxAI Grok 4
Capability composite9388
Cost tiermidpremium
$/Mtok input1.253
$/Mtok output1015
TypeFrontier foundation model family (Gemini 3 Pro / Flash / Nano)Frontier foundation model from xAI (Grok 4)
Created2023-12 (Gemini 1.0); 2024-02 (1.5 Pro); 2024-12 (2.0); 2025-03 (2.5 Pro); 2025-12 (Gemini 3)2023-07 (xAI founded); 2023-11 (Grok 1); 2024-08 (Grok 2); 2025-02 (Grok 3); 2025-07 (Grok 4)
Latest releaseGemini 4 Argon (GA 2026-10-13); Gemini 3.8 Flash (2026-09-02)Grok 4.7 (2026-09-21)
PricingPaid per 1M in/out: Gemini 4 Argon $2/$10 intro to 2026-11-30, then $4/$20 (no free tier); Gemini 3.8 Flash $0.75/$3.75 (free tier available)API: Grok 4.7 $2 in / $6 out per 1M (prompts ‹200k tokens; $4 / $12 above); consumer via X / SuperGrok subscriptions
FundingAlphabet (GOOGL) public; ~$2T+ market cap; Google AI capex $75B+ 2025xAI merged into SpaceX (announced 2026-02-02, combined ~$1T); prior $20B Series E (2026-01, ~$230B valuation)
DeploymentManaged cloud (Google AI Studio + GCP Vertex AI); on-prem via Gemini-Distributed-Cloud + Gemma open-weightsManaged-only — xAI API, grok.com, X apps; also via Amazon Bedrock, Microsoft Foundry, GitHub Copilot (older Grok-1 / Grok 2 weights downloadable)
API surfaceREST + gRPC + SDK (Python, Node, Go, Java, .NET, Dart); Google AI Studio + Vertex AIREST + SDK (Python, TS); OpenAI-compatible
Optimised formultimodal reasoning, ultra-long context (10M tokens), GCP-native enterprise deploymentsreal-time information (X firehose access); contrarian / less-filtered persona; benchmark frontier-tier reasoning
Anti-fitGemini Apps consumer privacy concerns; Vertex consumption pricing complex; weights closed (Gemma is separate open-weights family)X/Twitter integration is unique selling point but creates Musk-political-association risk; weights closed at Grok 4 tier; no on-prem; less polished tool-use than Claude/GPT

At a glance

Google Gemini 3 familyxAI Grok 4
SectionFoundation models (substrate reference) Foundation models (substrate reference)
TierT1 T1
TypeFrontier foundation model family (Gemini 3 Pro / Flash / Nano) Frontier foundation model from xAI (Grok 4)
Created2023-12 (Gemini 1.0); 2024-02 (1.5 Pro); 2024-12 (2.0); 2025-03 (2.5 Pro); 2025-12 (Gemini 3) 2023-07 (xAI founded); 2023-11 (Grok 1); 2024-08 (Grok 2); 2025-02 (Grok 3); 2025-07 (Grok 4)
Latest releaseGemini 4 Argon (GA 2026-10-13); Gemini 3.8 Flash (2026-09-02) Grok 4.7 (2026-09-21)
License— proprietary (Grok 4); older open weights: Grok-1 (Apache-2.0) and Grok 2 (Grok 2 Community License)
GitHub— github.com/xai-org/grok-1 ~50k stars (older Grok 1 weights only)
PricingPaid per 1M in/out: Gemini 4 Argon $2/$10 intro to 2026-11-30, then $4/$20 (no free tier); Gemini 3.8 Flash $0.75/$3.75 (free tier available) API: Grok 4.7 $2 in / $6 out per 1M (prompts ‹200k tokens; $4 / $12 above); consumer via X / SuperGrok subscriptions
FundingAlphabet (GOOGL) public; ~$2T+ market cap; Google AI capex $75B+ 2025 xAI merged into SpaceX (announced 2026-02-02, combined ~$1T); prior $20B Series E (2026-01, ~$230B valuation)
DeploymentManaged cloud (Google AI Studio + GCP Vertex AI); on-prem via Gemini-Distributed-Cloud + Gemma open-weights Managed-only — xAI API, grok.com, X apps; also via Amazon Bedrock, Microsoft Foundry, GitHub Copilot (older Grok-1 / Grok 2 weights downloadable)
API surfaceREST + gRPC + SDK (Python, Node, Go, Java, .NET, Dart); Google AI Studio + Vertex AI REST + SDK (Python, TS); OpenAI-compatible
Optimised formultimodal reasoning, ultra-long context (10M tokens), GCP-native enterprise deployments real-time information (X firehose access); contrarian / less-filtered persona; benchmark frontier-tier reasoning
Anti-fitGemini Apps consumer privacy concerns; Vertex consumption pricing complex; weights closed (Gemma is separate open-weights family) X/Twitter integration is unique selling point but creates Musk-political-association risk; weights closed at Grok 4 tier; no on-prem; less polished tool-use than Claude/GPT

Pros & cons

Google Gemini 3 family

Pros: Largest context window (1M-10M tokens) of frontier tier; native multimodal (single architecture); GCP enterprise distribution; FedRAMP High; Gemma open-weights companion family.

Cons: Smaller LMSYS Arena share than Claude/GPT; consumer Gemini apps less polished than ChatGPT; pricing complexity at Vertex; lags Claude on agentic coding benchmarks.

xAI Grok 4

Pros: Real-time X/Twitter data access (unique among frontier models); Colossus supercluster gives independent training capacity; ARC-AGI-2 leader (vendor-stated).

Cons: Owner Musk political controversy creates enterprise procurement headwind; closed weights at Grok 4; no on-prem; less mature ecosystem than Anthropic/OpenAI/Google.

Rows last verified 2026-10-31 / 2026-10-31. Data is CC-BY-4.0 — see how to read this.