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Gemini 3.5 Flash 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 3.5 Flash and Grok 4.20.

Google

Gemini 3.5 Flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

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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 โ€” delivering frontier-tier reasoning at a highly competitive cost for developers building intelligent agents and analytical tools.

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Technical Specifications

SpecificationGemini 3.5 FlashGrok 4.20
ProviderGooglexAI
Context Window1,048,576 tokens2,000,000 tokens
Agent Suitability88/10090/100
Time to First Token (TTFT)200 ms350 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-192026-05-05

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash

$1.50

Grok 4.20

$1.25

Output Price per Million Tokens

Gemini 3.5 Flash

$9.00

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
9050.0%vs9470.0%
Gemini 3.5 Flash
Grok 4.20
HumanEvalPython coding & logic synthesis
9210.0%vs9700.0%
Gemini 3.5 Flash
Grok 4.20
MATHComplex mathematical problem solving
8500.0%vs9380.0%
Gemini 3.5 Flash
Grok 4.20
GPQAGraduate-level expert reasoning
6820.0%vs8490.0%
Gemini 3.5 Flash
Grok 4.20
HellaSwagCommonsense reasoning and inference
9780.0%vs9880.0%
Gemini 3.5 Flash
Grok 4.20
MT-BenchMulti-turn conversation flow quality
920.0%vs970.0%
Gemini 3.5 Flash
Grok 4.20

Gemini 3.5 Flash Quirks & Gotchas

  • โ–ธExcellent multimodal performance โ€” native video understanding
  • โ–ธTool calling via Google's native function_declarations in Vertex AI

Grok 4.20 Quirks & Gotchas

  • โ–ธReal-time X data access โ€” unparalleled for current events / financial analysis
  • โ–ธTool calling API is still maturing โ€” test thoroughly for production agentic use