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Gemini 2.5 Flash Lite vs Llama 3.3 70B Instruct (Comparative Analysis)

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Comparative Analysis: Gemini 2.5 Flash Lite vs. Llama 3.3 70B Instruct
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Overview

Llama 3.3 70B Instruct was released 7 months before Gemini 2.5 Flash Lite.
Gemini 2.5 Flash LiteGemini 2.5 Flash Lite
Llama 3.3 70B InstructLlama 3.3 70B Instruct
Model Provider
The organization behind this AI's development
Google logoGoogle
Meta logoMeta
Input Context Window
Maximum input tokens this model can process at once
1M
tokens
131.1K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
65.5K
tokens
128K
tokens
Release Date
When this model first became publicly available
July 22nd, 2025
December 6th, 2024
Knowledge Cutoff
Latest training-data date reported by the provider
January 31, 2025
December 31, 2023

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
Gemini 2.5 Flash Lite
Llama 3.3 70B Instruct
Input Types
Supported input formats
📝Text🖼️Image📁File🎵Audio🎬Video
📝Text
Reasoning Controls
Defaults and configurable reasoning effort
Optional
Not reported
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
GeminiLlama3
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

Gemini 2.5 Flash Lite is roughly 0.8x less expensive compared to Llama 3.3 70B Instruct for input tokens and roughly 1.0x less expensive for output tokens.
Gemini 2.5 Flash LiteGemini 2.5 Flash Lite
Llama 3.3 70B InstructLlama 3.3 70B Instruct
Input Token Cost
Cost per million input tokens
$0.10
per million tokens
$0.13
per million tokens
Output Token Cost
Cost per million output tokens
$0.40
per million tokens
$0.40
per million tokens
Web Search Cost
Additional cost for each web search operation
$0.014
per search
Not specified
Cache Read Cost
Cost to reuse cached input tokens
$0.01
per million tokens
Not specified
Cache Write Cost
Cost to write input tokens to the cache
$0.08
per million tokens
Not specified
Reasoning Token Cost
Cost for internal reasoning tokens
$0.40
per million tokens
Not specified
Image Input Cost
Additional cost for each image input
$0.0000001
per image
Not specified
Audio Input Cost
Additional cost for audio input
$0.0000003
per unit
Not specified
Audio Cache Cost
Cost to reuse cached audio input tokens
$0.03
per million tokens
Not specified

Benchmarks

Compare relevant benchmarks between Gemini 2.5 Flash Lite and Llama 3.3 70B Instruct.
Gemini 2.5 Flash LiteGemini 2.5 Flash Lite
Llama 3.3 70B InstructLlama 3.3 70B Instruct
Intelligence Index
Overall model quality across independent evaluations
Benchmark not available.
9.4
(Artificial Analysis index; higher is better)
Coding Index
Programming performance across independent evaluations
Benchmark not available.
11.9
(Artificial Analysis index; higher is better)
Agentic Index
Ability to complete multi-step agentic tasks
Benchmark not available.
0.3
(Artificial Analysis index; higher is better)

At a Glance

Quick overview of what makes Gemini 2.5 Flash Lite and Llama 3.3 70B Instruct unique.
Google logoGemini 2.5 Flash Lite by Google understands both text and images, handles audio, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 1M token context window. Very affordable at $0.10/M input and $0.40/M output tokens. Released July 22nd, 2025.
Meta logoLlama 3.3 70B Instruct by Meta can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.13/M input and $0.40/M output tokens. Released December 6th, 2024.

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