Gemini 2.5 Flash vs Llama 3.1 8B Instruct (Comparative Analysis)
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Comparative Analysis: Gemini 2.5 Flash vs. Llama 3.1 8B Instruct
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Overview
Llama 3.1 8B Instruct was released 10 months before Gemini 2.5 Flash.
 Gemini 2.5 Flash |  Llama 3.1 8B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | Meta |
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 | 131.1K tokens |
Release Date When this model first became publicly available | June 17, 2025 1 year ago June 17th, 2025 | July 23, 2024 2 years ago July 23rd, 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 | Llama 3.1 8B Instruct | |
|---|---|---|
Input Types Supported input formats | 📁File🖼️Image📝Text🎵Audio🎬Video | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemini | Llama3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
Gemini 2.5 Flash is roughly 6.0x more expensive compared to Llama 3.1 8B Instruct for input tokens and roughly 31.3x more expensive for output tokens.
| Gemini 2.5 Flash | Llama 3.1 8B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million output tokens | $2.50 per million tokens | $0.08 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 | $0.03 per million tokens | $0.02 per million tokens |
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 | $2.50 per million tokens | Not specified |
Image Input Cost Additional cost for each image input | $0.0000003 per image | Not specified |
Audio Input Cost Additional cost for audio input | $0.000001 per unit | Not specified |
Audio Cache Cost Cost to reuse cached audio input tokens | $0.10 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between Gemini 2.5 Flash and Llama 3.1 8B Instruct.
| Gemini 2.5 Flash | Llama 3.1 8B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | Benchmark not available. | 7.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | Benchmark not available. | 5.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | Benchmark not available. | 0.5 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,159 Elo (#67 in Data Viz (48.4% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes Gemini 2.5 Flash and Llama 3.1 8B Instruct unique.
Gemini 2.5 Flash 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. Reasonably priced at $0.30/M input and $2.50/M output tokens. Released June 17th, 2025.Llama 3.1 8B 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 $0.05/M input and $0.08/M output tokens. Released July 23rd, 2024.Explore More Comparisons
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Compare Llama 3.1 8B Instruct with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
Scientific research and analysis
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