DeepSeek V4 Pro vs Llama 3.1 8B Instruct (Comparative Analysis)
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Comparative Analysis: DeepSeek V4 Pro vs. Llama 3.1 8B Instruct
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Overview
Llama 3.1 8B Instruct was released 1 year before DeepSeek V4 Pro.
 DeepSeek V4 Pro |  Llama 3.1 8B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | DeepSeek | 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 | 384K tokens | 131.1K tokens |
Release Date When this model first became publicly available | April 24, 2026 3 months ago April 24th, 2026 | July 23, 2024 2 years ago July 23rd, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | December 31, 2023 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V4 Pro | Llama 3.1 8B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | OptionalEffort: Extra High, HighDefault: High | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | Llama3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
DeepSeek V4 Pro is roughly 8.6x more expensive compared to Llama 3.1 8B Instruct for input tokens and roughly 10.9x more expensive for output tokens.
| DeepSeek V4 Pro | Llama 3.1 8B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.43 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million output tokens | $0.87 per million tokens | $0.08 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.0036 per million tokens | $0.02 per million tokens |
Benchmarks
Compare relevant benchmarks between DeepSeek V4 Pro and Llama 3.1 8B Instruct.
| DeepSeek V4 Pro | Llama 3.1 8B Instruct | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 44.3 (Artificial Analysis index; higher is better) | 7.6 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 59.4 (Artificial Analysis index; higher is better) | 5.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 36.4 (Artificial Analysis index; higher is better) | 0.5 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,320 Elo (#9 in 3D (60.1% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V4 Pro and Llama 3.1 8B Instruct unique.
DeepSeek V4 Pro by DeepSeek 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 $0.43/M input and $0.87/M output tokens. Released April 24th, 2026.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
🌐Translation
Multilingual translation tasks