Gemini 3.1 Pro vs Grok 4.20
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 3.1 Pro and Grok 4.20.
Gemini 3.1 Pro
Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.
Grok 4.20
Grok 4.20 is xAI's most advanced reasoning model, combining powerful analytical capabilities with unique real-time integration to the X (formerly Twitter) platform data stream. This live data access allows Grok 4.20 to answer queries with up-to-the-minute context, making it invaluable for financial analysis, current events research, and real-time market monitoring. Exceptionally strong in physics, advanced mathematics, and code synthesis, it operates with a 2-million-token context window and is priced at $1.25/MTok for input — delivering frontier-tier reasoning at a highly competitive cost for developers building intelligent agents and analytical tools.
Technical Specifications
| Specification | Gemini 3.1 Pro | Grok 4.20 |
|---|---|---|
| Provider | xAI | |
| Context Window | 2,000,000 tokens | 2,000,000 tokens |
| Agent Suitability | 93/100 | 90/100 |
| Time to First Token (TTFT) | 420 ms | 350 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-20 | 2026-05-05 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.1 Pro
$2.00
Grok 4.20
$1.25
Output Price per Million Tokens
Gemini 3.1 Pro
$12.00
Grok 4.20
$2.50
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 3.1 Pro Quirks & Gotchas
- ▸Best model for massive context — 2M token window is class-leading
- ▸Tool calling requires explicit schema definition in Google AI Studio
Grok 4.20 Quirks & Gotchas
- ▸Real-time X data access — unparalleled for current events / financial analysis
- ▸Tool calling API is still maturing — test thoroughly for production agentic use