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DeepSeek V4 Pro vs Llama 3.1 405B

DeepSeek V4 Pro vs Llama 3.1 405B: DeepSeek V4 Pro is cheaper for input-heavy usage ($0.435/M vs $3.50/M input tokens), while DeepSeek V4 Pro is better for long-context tasks (1,000,000 tokens).

Direct answer: choose DeepSeek V4 Pro for lower token spend and choose DeepSeek V4 Pro when your workload needs longer context.

Common pricing searches covered on this page: DeepSeek V4 Pro vs Llama 3.1 405B • DeepSeek V4 Pro vs Llama 3.1 405B pricing • DeepSeek V4 Pro vs Llama 3.1 405B API pricing and v4 pro vs 3 1 405b pricing.

DeepSeek
DeepSeek V4 Pro
vs
Meta (via Together AI)
Llama 3.1 405B

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

DeepSeek V4 Pro

Per Request:$0.000870
Daily:$0.087
Monthly:$2.61
Yearly:$31.755

Llama 3.1 405B

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

Cost Differences

+$0.004380
Per Request
+$0.438
Daily
+$13.14
Monthly
+$159.87
Yearly

Llama 3.1 405B costs more than DeepSeek V4 Pro

Quick Recommendation

Winner for direct API pricing: DeepSeek V4 Pro. At the default workload, DeepSeek V4 Pro saves about $13.14/month ($159.87/year) versus Llama 3.1 405B.

Feature Comparison

FeatureDeepSeek V4 ProLlama 3.1 405B
ProviderDeepSeekMeta (via Together AI)
Input Price$0.435/1M tokens$3.50/1M tokens
Output Price$0.87/1M tokens$3.50/1M tokens
Context Window1,000,000 tokens128,000 tokens
Max Output384,000 tokens32,768 tokens
Categoryflagshipflagship
Capabilities
textcodereasoning
textcodereasoning
Release Date4/24/20267/23/2024

DeepSeek V4 Pro vs Llama 3.1 405B: Which Should You Choose?

Choosing between DeepSeek V4 Pro and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek V4 Pro is the more affordable option at $0.435/1M input tokens88% cheaper than Llama 3.1 405B. Meanwhile, DeepSeek V4 Pro offers a significantly larger context window at 1,000,000 tokens vs 128,000 for Llama 3.1 405B.

These models come from different providers — DeepSeek and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with DeepSeek, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: DeepSeek V4 Pro would save you roughly $1,314.00/month compared to Llama 3.1 405B. For startups and indie developers, that difference can be significant.

Output costs matter too. DeepSeek V4 Pro charges $0.87/1M output tokens vs $3.50 for Llama 3.1 405B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek V4 Pro has the edge here at $0.87/1M output tokens.

Best Use Cases

Choose DeepSeek V4 Pro when:

  • • Budget is a primary concern
  • • You need a larger context window (1,000,000 tokens)
  • • You need longer outputs (up to 384,000 tokens)
  • • You're already using DeepSeek's API ecosystem

Choose Llama 3.1 405B when:

  • • You're already using Meta (via Together AI)'s API ecosystem

Pros and Caveats at a Glance

DeepSeek V4 Pro

  • Input pricing: $0.435/M tokens
  • Output pricing: $0.87/M tokens
  • Context window: 1,000,000 tokens
  • Max output: 384,000 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Llama 3.1 405B

  • Input pricing: $3.50/M tokens
  • Output pricing: $3.50/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than DeepSeek V4 Pro
  • Higher output cost than DeepSeek V4 Pro
  • Smaller context window than DeepSeek V4 Pro

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

DeepSeek V4 Pro (DeepSeek)

Llama 3.1 405B (Meta (via Together AI))

Start using DeepSeek V4 Pro today

Sign Up for DeepSeek

Start using Llama 3.1 405B today

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Frequently Asked Questions

Which is cheaper, DeepSeek V4 Pro or Llama 3.1 405B?
DeepSeek V4 Pro is cheaper for input tokens at $0.435 per million tokens vs $3.50 for Llama 3.1 405B — that's 88% savings on input costs.
What is the context window difference between DeepSeek V4 Pro and Llama 3.1 405B?
DeepSeek V4 Pro supports 1,000,000 tokens while Llama 3.1 405B supports 128,000 tokens — a difference of 872,000 tokens in favor of DeepSeek V4 Pro.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, DeepSeek V4 Pro is the lower-cost option, while DeepSeek V4 Pro offers a larger context window (1,000,000 vs 128,000 tokens). Choose DeepSeek V4 Pro for budget sensitivity or DeepSeek V4 Pro for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, DeepSeek V4 Pro costs about $2.61/month and Llama 3.1 405B costs about $15.75/month. Overall, DeepSeek V4 Pro has lower combined input + output rates ($0.435 in, $0.87 out) vs Llama 3.1 405B.
Where can I compare DeepSeek and Meta (via Together AI) API pricing beyond this model matchup?
See the DeepSeek vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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