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Llama 3.1 405B vs Nano Banana Pro (Gemini 3 Pro Image Preview)

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 Llama 3.1 405B and Nano Banana Pro (Gemini 3 Pro Image Preview).

Meta

Llama 3.1 405B

Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.

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Google

Nano Banana Pro (Gemini 3 Pro Image Preview)

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...

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Technical Specifications

SpecificationLlama 3.1 405BNano Banana Pro (Gemini 3 Pro Image Preview)
ProviderMetaGoogle
Context Window131,072 tokens65,536 tokens
Agent Suitability90/100N/A
Time to First Token (TTFT)550 msN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-232025-11-20

API Pricing Comparison

Input Price per Million Tokens

Llama 3.1 405B

$0.80

Nano Banana Pro (Gemini 3 Pro Image Preview)

$2.00

Output Price per Million Tokens

Llama 3.1 405B

$0.80

Nano Banana Pro (Gemini 3 Pro Image Preview)

$12.00

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.

Llama 3.1 405B Quirks & Gotchas

  • Massive model — requires 8× A100 80GB for FP16 inference
  • Available via Together AI, Fireworks, and Bedrock as managed API

Nano Banana Pro (Gemini 3 Pro Image Preview) Quirks & Gotchas

No developer gotchas reported.