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Gemini 3.5 Flash vs Llama 3.1 405B

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 Gemini 3.5 Flash and Llama 3.1 405B.

Google

Gemini 3.5 Flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

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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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Technical Specifications

SpecificationGemini 3.5 FlashLlama 3.1 405B
ProviderGoogleMeta
Context Window1,048,576 tokens131,072 tokens
Agent Suitability88/10090/100
Time to First Token (TTFT)200 ms550 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-192024-07-23

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash

$1.50

Llama 3.1 405B

$0.80

Output Price per Million Tokens

Gemini 3.5 Flash

$9.00

Llama 3.1 405B

$0.80

Want to test both models live?

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9050.0%vsN/A
Gemini 3.5 Flash
Llama 3.1 405B
HumanEvalPython coding & logic synthesis
9210.0%vsN/A
Gemini 3.5 Flash
Llama 3.1 405B
MATHComplex mathematical problem solving
8500.0%vsN/A
Gemini 3.5 Flash
Llama 3.1 405B
GPQAGraduate-level expert reasoning
6820.0%vsN/A
Gemini 3.5 Flash
Llama 3.1 405B
HellaSwagCommonsense reasoning and inference
9780.0%vsN/A
Gemini 3.5 Flash
Llama 3.1 405B
MT-BenchMulti-turn conversation flow quality
920.0%vsN/A
Gemini 3.5 Flash
Llama 3.1 405B

Gemini 3.5 Flash Quirks & Gotchas

  • ▸Excellent multimodal performance — native video understanding
  • ▸Tool calling via Google's native function_declarations in Vertex AI

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