Gemini 3.1 Pro Preview vs Grok 4.3Benchmark Comparison 2026

Objective comparison based on public benchmarks updated weekly: Intelligence Index, GPQA Diamond, Chatbot Arena ELO, pricing and speed.

Overall winner (2026)

Gemini 3.1 Pro Preview

5 of 7 criteria won

Google

Gemini 3.1 Pro Preview

Winner

Intelligence Index

57.2

Coding Index

55.5

5 criteria won

View full profile

xAI

Grok 4.3

Intelligence Index

53.2

Coding Index

41.0

2 criteria won

View full profile

Detailed Comparison

CritérioGemini 3.1 Pro PreviewGrok 4.3
Chatbot Arena ELO
Intelligence Index (AA)57.253.2
Coding Index (AA)55.541.0
GPQA Diamond94.0%90.0%
Input price ($/1M tok)$2.00$1.25
Output price ($/1M tok)$12.00$2.50
Context window1.0M tokens1.0M tokens
Speed (tokens/s)136 tok/s118 tok/s

✓ = winner in this criterion • Source: Artificial Analysis, LMArena, official APIs • Updated weekly

Technical Specifications

Gemini 3.1 Pro Preview

Company
Google
Context window
1.0M tokens
Input ($/1M tok)
$2.00
Output ($/1M tok)
$12.00
Speed
136 tok/s
Release
Feb 2026
Multimodal
Yes
Open Source
No
Official website
Visit

Grok 4.3

Company
xAI
Context window
1.0M tokens
Input ($/1M tok)
$1.25
Output ($/1M tok)
$2.50
Speed
118 tok/s
Release
Apr 2026
Multimodal
Yes
Open Source
No
Official website
Visit

When to use Gemini 3.1 Pro Preview vs Grok 4.3?

Choosing between Gemini 3.1 Pro Preview and Grok 4.3 depends on your use case, budget and technical requirements. Below, a practical guide based on benchmark data and each model's specifications.

Use Gemini 3.1 Pro Preview when:

Google · Multimodal

  • Complex reasoning, math and advanced programming — reasoning models are optimized for problems requiring multiple logical steps
  • Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
  • Applications with audio input or output — transcription, call analysis and voice assistants
  • Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • AI agents with tool calling — workflow automation, external API integration and data pipelines
  • API integration in SaaS applications — direct API access with documented SLA
View full Gemini 3.1 Pro Preview profile

Use Grok 4.3 when:

xAI · Multimodal

  • High-volume token projects — at $1.25/1M input tokens, the cost per call is low enough for production use at scale
  • Processing images, PDFs and visual documents alongside text — useful for analyzing contracts, reports with charts and mixed content
  • Long document analysis — 1.0M tokens context window allows processing books, legal databases and extensive logs
  • API integration in SaaS applications — direct API access with documented SLA
View full Grok 4.3 profile
SWEN Verdict: Gemini 3.1 Pro Preview wins in more objective criteria in this comparison (5 vs 2). For most use cases, Gemini 3.1 Pro Preview offers better aggregate performance — but Grok 4.3 may be preferable if your project prioritizes high-volume token projects.

Frequently Asked Questions

Gemini 3.1 Pro Preview or Grok 4.3: which is better?

Gemini 3.1 Pro Preview wins in 5 of 7 criteria analyzed. Check the full table to choose based on your use case.

Where does this benchmark data come from?

Data is aggregated from Artificial Analysis (Intelligence Index, Coding Index) and Chatbot Arena/LMArena (ELO). Pricing and specs come from official APIs. Updated weekly.

What is the Intelligence Index?

The Intelligence Index is an aggregate score from Artificial Analysis that combines multiple academic benchmarks (MMLU, GPQA, LiveBench, etc.) into a single rating. The higher the score, the more capable the model is at reasoning tasks.

Is Gemini 3.1 Pro Preview cheaper than Grok 4.3?

No. Grok 4.3 is cheaper: $1.25/1M input tokens vs $2/1M tokens for Gemini 3.1 Pro Preview — a 60% difference. For high-volume projects, Grok 4.3 can reduce costs substantially.

Gemini 3.1 Pro Preview or Grok 4.3: which has a larger context window?

Gemini 3.1 Pro Preview has the larger context window: 1.0M tokens vs 1.0M tokens. For long document analysis, extensive transcripts or full codebases, the larger context window is a decisive criterion.

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