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Gemini 3.1 Pro vs Llama 4 Maverick

A detailed comparison of Gemini 3.1 Pro (Google) and Llama 4 Maverick (Meta) across pricing, performance, and features.

Pricing Comparison

MetricGemini 3.1 ProLlama 4 MaverickDifference
Input / 1M tokens$2.00$0.31-85%
Output / 1M tokens$12.00$0.85-93%
Context window1M1M
Max output64K32K

Benchmark Comparison

BenchmarkGemini 3.1 ProLlama 4 Maverick
MMLU-Pro91%80.5%
HumanEval95%90.2%
GPQA94.3%

Capabilities

CapabilityGemini 3.1 ProLlama 4 Maverick
audio
code
reasoning
text
tool-use
vision

Gemini 3.1 Pro Strengths

  • #1 on 12 of 18 tracked benchmarks
  • 94.3% GPQA Diamond — highest of any model
  • Same price as Gemini 3 Pro (free upgrade)
  • 1M context with configurable thinking levels

Gemini 3.1 Pro Weaknesses

  • Still in preview
  • Context-tiered pricing ($4/$18 above 200K)

Llama 4 Maverick Strengths

  • Open-source and self-hostable
  • 1M context window
  • Very competitive via API providers

Llama 4 Maverick Weaknesses

  • Requires significant compute to self-host
  • Fewer tool-use capabilities than proprietary models

Quick Verdict

Best value: Llama 4 Maverick is the more affordable option at $0.31/$0.85 per 1M tokens.

Higher benchmarks: Gemini 3.1 Pro scores higher on average across available benchmarks (93.4% avg).

Choose Llama 4 Maverick if cost matters most. Choose Gemini 3.1 Pro if you need the best possible quality for complex tasks.

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