Llama 3.1 405B vs DeepSeek V4 Pro (0813)

At a glance

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

63131K ctx#66/92

The GA release of DeepSeek's open 1.6T-parameter MoE flagship for advanced reasoning and long-horizon agents.

1.0M ctx$0.66/$1.98 per M

Demos

All demos

No shared demos for these models yet.

AI Output

All AI outputs

No captured outputs for these models yet.

Benchmarks

See rankings

Differences only

CodingInsufficient data

AgenticInsufficient data

Sources:Epoch ECIEpoch AI

Capability

CapabilityECI62.7

Reasoning & Knowledge

Graduate Science50.9%Factual Recall—

Math

Math Problems49.8%Competition Math9.7%

Agentic

Novel Reasoning—

Reasoning

CodingInsufficient data

AgenticInsufficient data

Sources:Epoch AIOpenRouter

Capability

Capability—

Reasoning & Knowledge

Graduate Science80%91.7%Factual Recall52.9%

Math

Math Problems—Competition Math914%98.6%

Agentic

Novel Reasoning61.3%

Specs

131K

Context

16K

Max output

—

Released

1.0M

Context

256K

Max output

Aug 2026

Released

Capabilities

Vision

Audio

Reasoning

Vision

Audio

Reasoning

Pricing

Differences only

Pricing not available

Live pricing, shown before you run

Input$0.66/M tokens

Output$1.98/M tokens

Cache read$0.02/M tokens

Chat with Llama 3.1 405B Go to model

Chat with DeepSeek V4 Pro (0813)Go to model

Frequently Asked Questions: Llama 3.1 405B vs DeepSeek V4 Pro (0813)▼

Which is better, Llama 3.1 405B or DeepSeek V4 Pro (0813)?

▼

Both Llama 3.1 405B and DeepSeek V4 Pro (0813) are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which has a larger context window, Llama 3.1 405B or DeepSeek V4 Pro (0813)?

▼

DeepSeek V4 Pro (0813) has a larger context window: Llama 3.1 405B supports 131K tokens vs DeepSeek V4 Pro (0813) at 1M tokens.

What are the key differences between Llama 3.1 405B and DeepSeek V4 Pro (0813)?

▼

Key differences: only DeepSeek V4 Pro (0813) 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 (0813) for free on idapt.app to see which performs better for your specific needs.

Open in App