Google vs xAI (Grok)
Google (45 models) vs xAI (Grok) (10 models) - compared across composite scores, pricing, capabilities, and context windows.
xAI (Grok)
View all modelsHead-to-Head: Google vs xAI (Grok) Model Matchups
Capability Comparison
| Capability | xAI (Grok) | Leader | |
|---|---|---|---|
Vision | 42/45 | 10/10 | |
Reasoning | 36/45 | 10/10 | |
Function Calling | 32/45 | 9/10 | |
JSON Mode | 41/45 | 10/10 | |
Web Search | 33/45 | 10/10 | |
Streaming | 43/45 | 10/10 | |
Image Output | 8/45 | 0/10 |
Pricing Comparison
| Metric | xAI (Grok) | |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.050 Gemma 3 4B | $1.00 Grok 4.3 (batch) |
| Cheapest Output (per 1M tokens) | $0.100 | $2.00 |
| Most Expensive Input (per 1M tokens) | $2.00 Gemini 3.1 Pro Preview Custom Tools | $2.00 Grok 4.7 |
| Most Expensive Output (per 1M tokens) | $12.00 | $6.00 |
| Free Models | 4 | 0 |
| Max Context Window | 1.0M | 2.0M |
All Google Models (45)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Gemini 3.1 Pro Preview Custom Tools | 92 | $2.00 | $12.00 |
| Gemini 3.1 Pro Preview | 92 | $2.00 | $12.00 |
| Gemini 3.1 Pro Preview (batch) | 92 | $1.00 | $6.00 |
| Gemini 3 Flash Preview | 88 | $0.500 | $3.00 |
| Gemini 3 Flash Preview (batch) | 88 | $0.250 | $1.50 |
| Gemini 2.5 Pro | 84 | $1.25 | $10.00 |
| Gemini 2.5 Pro Preview 06-05 | 84 | $1.25 | $10.00 |
| Gemini 3.8 Flash | 81 | $0.825 | $4.13 |
| Gemini 3.8 Flash (batch) | 81 | $0.375 | $1.88 |
| Gemini 2.5 Flash Lite | 79 | $0.100 | $0.400 |
| Gemini 2.5 Flash | 79 | $0.300 | $2.50 |
| Gemini 3.5 Flash Lite | 79 | $0.300 | $2.50 |
| Gemini 3.5 Flash Lite (batch) | 79 | $0.150 | $1.25 |
| Gemini 3.5 Flash | 79 | $1.50 | $9.00 |
| Gemini 3.5 Flash (batch) | 79 | $0.750 | $4.50 |
| Gemma 2 27B | 77 | $0.650 | $0.650 |
| Gemma 4 31B | 76 | $0.200 | $0.400 |
| Gemma 4 31B (free) | 76 | Free | Free |
| Gemini 3.1 Flash Lite Preview | 71 | $0.250 | $1.50 |
| Gemini 4 Argon | 40 | $2.00 | $10.00 |
All xAI (Grok) Models (10)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Grok 4.7 | 89 | $2.00 | $6.00 |
| Grok 4.6 | 89 | $2.00 | $6.00 |
| Grok 4.5 | 89 | $2.00 | $6.00 |
| Grok 4.3 | 89 | $1.25 | $2.50 |
| Grok 4.20 | 89 | $1.25 | $2.50 |
| Grok 4.3 (batch) | 89 | $1.00 | $2.00 |
| Grok 4.7 (batch) | 88 | $1.60 | $4.80 |
| Grok 4.6 (batch) | 88 | $1.60 | $4.80 |
| Grok 4.20 Multi-Agent | 88 | $1.25 | $2.50 |
| Grok Build 0.1 | 40 | $1.00 | $2.00 |
More Provider Comparisons
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Google's portfolio includes 15 open-source models and 9 free-tier options, prioritizing accessibility over peak performance. xAI takes the opposite approach with 10 premium models (zero free options), achieving scores 14 points higher on average and a top score of 75/100 with Grok 4.1 Fast versus Google's best at 60/100 with Gemini 2.5 Flash Lite Preview.
xAI's pricing reflects its unique capabilities: 100% of models support web search (versus 0/34 for Google) and 90% support function calling (versus 47% for Google). Additionally, xAI's 2.0M max context window doubles Google's 1.0M limit, making it the only option for real-time web-aware applications requiring extensive context.
Google spreads vision capabilities across 79% of its models (27/34) but only 47% support reasoning (16/34), suggesting a focus on broad multimodal coverage. xAI concentrates these capabilities in its premium tier with 50% vision support (5/10) but 80% reasoning support (8/10), optimizing for complex analytical tasks over general-purpose vision applications.
Google's 15 open-source models and 9 free-tier options make it ideal for research and experimentation, with entry costs as low as $0.040 per 1M tokens. xAI's all-premium approach (starting at $0.50/M tokens) with 90% function calling support targets production deployments where the 15-point performance advantage and web search capabilities justify 12.5x higher base pricing.
xAI's 2.0M token context window enables processing entire codebases or research papers that exceed Google's 1.0M limit. However, Google's Gemini 2.5 Flash Lite at $0.040/M tokens processes shorter contexts 375x cheaper than xAI's cheapest option, making Google optimal for high-volume, context-light tasks like classification or extraction.