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Gemini 3.1 Pro vs Llama 4 Maverick

Compare Google and Meta (via Together AI) AI models

Google
Gemini 3.1 Pro
vs
Meta (via Together AI)
Llama 4 Maverick

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Gemini 3.1 Pro

Per Request:$0.008000
Daily:$0.80
Monthly:$24.00
Yearly:$292.00

Llama 4 Maverick

Per Request:$0.000695
Daily:$0.0695
Monthly:$2.085
Yearly:$25.3675

Cost Differences

$0.007305
Per Request
$0.7305
Daily
$21.915
Monthly
$266.6325
Yearly

Llama 4 Maverick costs less than Gemini 3.1 Pro

Feature Comparison

FeatureGemini 3.1 ProLlama 4 Maverick
ProviderGoogleMeta (via Together AI)
Input Price$2.00/1M tokens$0.27/1M tokens
Output Price$12.00/1M tokens$0.85/1M tokens
Context Window1,000,000 tokens1,000,000 tokens
Max Output65,536 tokens65,536 tokens
Categoryflagshipflagship
Capabilities
textvisionaudiovideocodereasoning
textvisioncode
Release Date2/19/20264/5/2025

Gemini 3.1 Pro vs Llama 4 Maverick: Which Should You Choose?

Choosing between Gemini 3.1 Pro and Llama 4 Maverick depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Maverick is the more affordable option at $0.27/1M input tokens87% cheaper than Gemini 3.1 Pro.

These models come from different providers — Google and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Llama 4 Maverick would save you roughly $2,191.50/month compared to Gemini 3.1 Pro. For startups and indie developers, that difference can be significant.

Output costs matter too. Gemini 3.1 Pro charges $12.00/1M output tokens vs $0.85 for Llama 4 Maverick. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Maverick has the edge here at $0.85/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose Gemini 3.1 Pro when:

  • • You need more capabilities (audio, video, reasoning)
  • • You're already using Google's API ecosystem

Choose Llama 4 Maverick when:

  • • Budget is a primary concern
  • • You're already using Meta (via Together AI)'s API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Gemini 3.1 Pro (Google)

Llama 4 Maverick (Meta (via Together AI))

Start using Gemini 3.1 Pro today

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Start using Llama 4 Maverick today

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Frequently Asked Questions

Which is cheaper, Gemini 3.1 Pro or Llama 4 Maverick?
Llama 4 Maverick is cheaper for input tokens at $0.27 per million tokens vs $2.00 for Gemini 3.1 Pro — that's 87% savings on input costs.
What is the context window difference between Gemini 3.1 Pro and Llama 4 Maverick?
Gemini 3.1 Pro supports 1,000,000 tokens while Llama 4 Maverick supports 1,000,000 tokens — a difference of 0 tokens in favor of Gemini 3.1 Pro.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 4 Maverick is the lower-cost option, while Gemini 3.1 Pro offers a larger context window (1,000,000 vs 1,000,000 tokens). Choose Llama 4 Maverick for budget sensitivity or Gemini 3.1 Pro for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Gemini 3.1 Pro costs about $24.00/month and Llama 4 Maverick costs about $2.085/month. Overall, Llama 4 Maverick has lower combined input + output rates ($0.27 in, $0.85 out) vs Gemini 3.1 Pro.

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