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Gemini 3.5 Flash vs Llama 3.3 70B Instruct

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 3.3 70B Instruct.

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 3.3 70B Instruct

Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.

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Technical Specifications

SpecificationGemini 3.5 FlashLlama 3.3 70B Instruct
ProviderGoogleMeta
Context Window1,048,576 tokens131,072 tokens
Agent Suitability88/10083/100
Time to First Token (TTFT)200 ms280 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-192024-12-06

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash

$1.50

Llama 3.3 70B Instruct

$0.10

Output Price per Million Tokens

Gemini 3.5 Flash

$9.00

Llama 3.3 70B Instruct

$0.32

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.

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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%vs8620.0%
Gemini 3.5 Flash
Llama 3.3 70B Instruct
HumanEvalPython coding & logic synthesis
9210.0%vs8800.0%
Gemini 3.5 Flash
Llama 3.3 70B Instruct
MATHComplex mathematical problem solving
8500.0%vs7500.0%
Gemini 3.5 Flash
Llama 3.3 70B Instruct
GPQAGraduate-level expert reasoning
6820.0%vs5200.0%
Gemini 3.5 Flash
Llama 3.3 70B Instruct
HellaSwagCommonsense reasoning and inference
9780.0%vs8850.0%
Gemini 3.5 Flash
Llama 3.3 70B Instruct
MT-BenchMulti-turn conversation flow quality
920.0%vs880.0%
Gemini 3.5 Flash
Llama 3.3 70B Instruct

Gemini 3.5 Flash Quirks & Gotchas

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

Llama 3.3 70B Instruct Quirks & Gotchas

  • ▸Stable, well-documented self-hosted option with strong community support
  • ▸Outperformed by Llama 4 Maverick for agentic tool-calling workflows