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Llama 3.1 405B vs DeepSeek V4 Pro

At a glance

Meta's largest open-weight model at 405B parameters.

63#66/92

Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.

821.0M ctx$0.43/$0.87 per M#21/92
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI· as of 2026-07-10
Capability
CapabilityECI62.7
Reasoning & Knowledge
Graduate Science50.9%Factual Recall—
Math
Math Problems49.8%Competition Math9.7%
Coding
Real-World Coding—
Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Smarter30%
Capability
CapabilityECI30%81.6
Reasoning & Knowledge
Graduate Science76%89.6%Factual Recall57.0%
Math
Math Problems—Competition Math894%96.7%
Coding
Real-World Coding77.6%
Specs
—
Context
—
Max output
—
Released
1.0M
Context
256K
Max output
Apr 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
Live pricing, shown before you run
Input$0.43/M tokens
Output$0.87/M tokens
Cache read$0.004/M tokens
Chat with Llama 3.1 405BGo to model
Chat with DeepSeek V4 ProGo to model
Frequently Asked Questions: Llama 3.1 405B vs DeepSeek V4 Pro▼

Which is better, Llama 3.1 405B or DeepSeek V4 Pro?

▼

Based on the Capability Index, DeepSeek V4 Pro scores higher (81.6 vs 62.7). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

What are the key differences between Llama 3.1 405B and DeepSeek V4 Pro?

▼

Key differences: DeepSeek V4 Pro has a notably higher capability index (18.9 point gap); only DeepSeek V4 Pro supports vision input; only DeepSeek V4 Pro offers extended reasoning mode. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Llama 3.1 405B and DeepSeek V4 Pro for free on idapt.app to see which performs better for your specific needs.

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