Llama 4 Maverick vs Gemini 3.1 Pro

Comprehensive comparison between Meta's Llama 4 Maverick and Google's Gemini 3.1 Pro. Compare pricing, performance, features, and user reviews.

llama vs geminillama 4 vs geminimeta vs google ai

Specs Comparison

SpecificationLlama 4 MaverickGemini 3.1 Pro
Context Window1049K1000K
Max Output16K66K
Input (per 1M tokens)$0.15$2.00
Output (per 1M tokens)$0.60$12.00
Reasoning
Open Source

Scenario Score Comparison

Coding
vs
85
Writing
vs
86

Llama 4 Maverick

Pros

  • + Extremely affordable ($0.15/$0.60)
  • + 1M context window
  • + Native multimodal (text + image)
  • + Open source (Llama 4 Community License)
  • + High throughput MoE architecture

Cons

  • Coding performance below Claude/GPT
  • Benchmark gaming controversy
  • 16K max output limit
  • Knowledge cutoff August 2024

Gemini 3.1 Pro

Pros

  • + Cheapest frontier model ($2/$12)
  • + Highest ARC-AGI-2 score (77.1%)
  • + Native multimodal (text/image/audio/video)
  • + 1M context window
  • + Free tier via AI Studio
  • + Best for frontend/web design

Cons

  • Weaker at agentic tasks
  • Context window issues reported
  • Sometimes skips lines in code edits
  • CLI/agent harness quality inconsistent

Recommendation

Choose Llama 4 Maverick if you:

  • Need extremely affordable ($0.15/$0.60)
  • Need 1m context window
  • Need native multimodal (text + image)

Choose Gemini 3.1 Pro if you:

  • Need cheapest frontier model ($2/$12)
  • Need highest arc-agi-2 score (77.1%)
  • Need native multimodal (text/image/audio/video)

Based on scores across 2 scenarios, Gemini 3.1 Pro performs better overall.

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