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Gemini 2.5 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 2.5 Pro and Grok 4.20.

Google

Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

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xAI

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.

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Technical Specifications

SpecificationGemini 2.5 ProGrok 4.20
ProviderGooglexAI
Context Window1,048,576 tokens2,000,000 tokens
Agent Suitability90/10090/100
Time to First Token (TTFT)450 ms350 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-06-172026-05-05

API Pricing Comparison

Input Price per Million Tokens

Gemini 2.5 Pro

$1.25

Grok 4.20

$1.25

Output Price per Million Tokens

Gemini 2.5 Pro

$10.00

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.

MMLUGeneral knowledge & multi-task understanding
8990.0%vs9470.0%
Gemini 2.5 Pro
Grok 4.20
HumanEvalPython coding & logic synthesis
9150.0%vs9700.0%
Gemini 2.5 Pro
Grok 4.20
MATHComplex mathematical problem solving
8200.0%vs9380.0%
Gemini 2.5 Pro
Grok 4.20
GPQAGraduate-level expert reasoning
7200.0%vs8490.0%
Gemini 2.5 Pro
Grok 4.20
HellaSwagCommonsense reasoning and inference
9620.0%vs9880.0%
Gemini 2.5 Pro
Grok 4.20
MT-BenchMulti-turn conversation flow quality
930.0%vs970.0%
Gemini 2.5 Pro
Grok 4.20

Gemini 2.5 Pro Quirks & Gotchas

  • Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency

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