xAI (Grok) vs NVIDIA
xAI (Grok) (5 models) vs NVIDIA (11 models) - compared across composite scores, pricing, capabilities, and context windows.
xAI (Grok)
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View all modelsHead-to-Head: xAI (Grok) vs NVIDIA Model Matchups
| xAI (Grok) | Score | vs | NVIDIA | Score |
|---|---|---|---|---|
| Grok 4.5 | 89 | Nemotron 3.5 Content Safety (free) | 40 | |
| Grok 4.3 | 89 | Nemotron 3 Ultra | 40 | |
| Grok 4.20 | 89 | Nemotron 3 Ultra (batch) | 40 | |
| Grok 4.20 Multi-Agent | 88 | Nemotron 3 Ultra (free) | 40 | |
| Grok Build 0.1 | 40 | Nemotron 3 Nano Omni (free) | 40 |
Capability Comparison
| Capability | xAI (Grok) | NVIDIA | Leader |
|---|---|---|---|
Vision | 5/5 | 3/11 | xAI (Grok) |
Reasoning | 5/5 | 11/11 | NVIDIA |
Function Calling | 4/5 | 10/11 | NVIDIA |
JSON Mode | 5/5 | 6/11 | NVIDIA |
Web Search | 5/5 | 0/11 | xAI (Grok) |
Streaming | 5/5 | 11/11 | NVIDIA |
Image Output | 0/5 | 0/11 | Tie |
Pricing Comparison
| Metric | xAI (Grok) | NVIDIA |
|---|---|---|
| Cheapest Input (per 1M tokens) | $1.00 Grok Build 0.1 | $0.050 Nemotron 3 Nano 30B A3B |
| Cheapest Output (per 1M tokens) | $2.00 | $0.200 |
| Most Expensive Input (per 1M tokens) | $2.00 Grok 4.5 | $0.600 Nemotron 3 Ultra |
| Most Expensive Output (per 1M tokens) | $6.00 | $3.60 |
| Free Models | 0 | 7 |
| Max Context Window | 2.0M | 1.0M |
All xAI (Grok) Models (5)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| 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 4.20 Multi-Agent | 88 | $1.25 | $2.50 |
| Grok Build 0.1 | 40 | $1.00 | $2.00 |
All NVIDIA Models (11)
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| Nemotron 3.5 Content Safety (free) | 40 | Free | Free |
| Nemotron 3 Ultra | 40 | $0.600 | $3.60 |
| Nemotron 3 Ultra (batch) | 40 | $0.300 | $1.80 |
| Nemotron 3 Ultra (free) | 40 | Free | Free |
| Nemotron 3 Nano Omni (free) | 40 | Free | Free |
| Nemotron 3 Super | 40 | $0.085 | $0.400 |
| Nemotron 3 Super (free) | 40 | Free | Free |
| Nemotron 3 Nano 30B A3B | 40 | $0.050 | $0.200 |
| Nemotron 3 Nano 30B A3B (free) | 40 | Free | Free |
| Nemotron Nano 12B 2 VL (free) | 40 | Free | Free |
| Nemotron Nano 9B V2 (free) | 40 | Free | Free |
More Provider Comparisons
Compare any two AI providers side-by-side.
xAI focuses on premium performance with web search capability (10/10) built into all 10 models, while NVIDIA's 11 models prioritize accessibility with 0/11 web search support. The 30-point performance gap reflects xAI's closed-source optimization versus NVIDIA's commitment to open source across all 11 models, trading raw benchmark scores for transparency and customizability.
NVIDIA's pricing strategy targets cost-conscious developers with 4 free models and output pricing starting at $0.160/M versus xAI's $0.500/M minimum. With 10/11 models supporting reasoning capabilities and 9/11 offering function calling, NVIDIA provides enterprise-grade features at 3x lower entry cost despite the performance tradeoff.
xAI's 2M context window enables document-heavy workflows and complex multi-turn conversations that NVIDIA's 262K limit cannot handle, justifying the 9-30x higher pricing. However, NVIDIA's smaller context aligns with their edge deployment focus - all 11 models are open source and optimized for on-premise GPU clusters where memory constraints matter more than cloud API limits.
xAI dominates agent development with 10/10 web search capability across all models and 9/10 function calling support, while NVIDIA offers 0/11 web search despite strong function calling (9/11 models). For $15.00/M output tokens, xAI's premium models deliver integrated web access that NVIDIA users must implement separately, making xAI the clear choice for information-aware agents.
Both providers treat vision as a secondary feature with xAI supporting it in 50% of models versus NVIDIA's 18%, but neither excels here compared to their text strengths. xAI's higher vision coverage at $0.500-$15.00/M targets multimodal applications, while NVIDIA's limited vision support reflects their focus on text-heavy enterprise workloads where their $0.160/M pricing and open-source flexibility matter more.