โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Gemini 3.1 Pro vs Grok 4.3

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 4.3.

Google

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.

View Full Specs
xAI

Grok 4.3

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

View Full Specs

Technical Specifications

SpecificationGemini 3.1 ProGrok 4.3
ProviderGooglexAI
Context Window2,000,000 tokens1,000,000 tokens
Agent Suitability93/10087/100
Time to First Token (TTFT)420 ms400 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202026-04-30

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

Grok 4.3

$1.25

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

Grok 4.3

$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
9280.0%vs9240.0%
Gemini 3.1 Pro
Grok 4.3
HumanEvalPython coding & logic synthesis
9460.0%vs9450.0%
Gemini 3.1 Pro
Grok 4.3
MATHComplex mathematical problem solving
8800.0%vs9100.0%
Gemini 3.1 Pro
Grok 4.3
GPQAGraduate-level expert reasoning
8130.0%vs8100.0%
Gemini 3.1 Pro
Grok 4.3
HellaSwagCommonsense reasoning and inference
9840.0%vs9750.0%
Gemini 3.1 Pro
Grok 4.3
MT-BenchMulti-turn conversation flow quality
950.0%vs940.0%
Gemini 3.1 Pro
Grok 4.3

Gemini 3.1 Pro Quirks & Gotchas

  • โ–ธBest model for massive context โ€” 2M token window is class-leading
  • โ–ธTool calling requires explicit schema definition in Google AI Studio

Grok 4.3 Quirks & Gotchas

  • โ–ธStrong coding performance โ€” competitive with Claude Sonnet at similar price point
  • โ–ธUpgrade to Grok 4.20 for improved reasoning and tool calling