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DeepSeek V4 Pro vs Llama 4 Scout

DeepSeek V4 Pro vs Llama 4 Scout: Llama 4 Scout is cheaper for input-heavy usage ($0.08/M vs $0.435/M input tokens), while Llama 4 Scout is better for long-context tasks (10,000,000 tokens).

Direct answer: choose Llama 4 Scout for lower token spend and choose Llama 4 Scout when your workload needs longer context.

Common pricing searches covered on this page: DeepSeek V4 Pro vs Llama 4 Scout • DeepSeek V4 Pro vs Llama 4 Scout pricing • DeepSeek V4 Pro vs Llama 4 Scout API pricing and v4 pro vs 4 scout pricing.

DeepSeek
DeepSeek V4 Pro
vs
Meta (via Together AI)
Llama 4 Scout

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 4 Scout

Per Request:$0.000230
Daily:$0.023
Monthly:$0.69
Yearly:$8.395

Cost Differences

$0.000640
Per Request
$0.064
Daily
$1.92
Monthly
$23.36
Yearly

Llama 4 Scout costs less than DeepSeek V4 Pro

Feature Comparison

FeatureDeepSeek V4 ProLlama 4 Scout
ProviderDeepSeekMeta (via Together AI)
Input Price$0.435/1M tokens$0.08/1M tokens
Output Price$0.87/1M tokens$0.30/1M tokens
Context Window1,000,000 tokens10,000,000 tokens
Max Output384,000 tokens32,768 tokens
Categoryflagshipefficient
Capabilities
textcodereasoning
textvisioncode
Release Date4/24/20264/5/2025

DeepSeek V4 Pro vs Llama 4 Scout: Which Should You Choose?

Choosing between DeepSeek V4 Pro and Llama 4 Scout depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Scout is the more affordable option at $0.08/1M input tokens82% cheaper than DeepSeek V4 Pro. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 1,000,000 for DeepSeek V4 Pro.

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.

These models target different tiers: DeepSeek V4 Pro is a flagship model while Llama 4 Scout is efficient. This means they're optimized for different workloads. DeepSeek V4 Pro is built for complex tasks that require deeper reasoning, while Llama 4 Scout offers better value for routine operations.

Output costs matter too. DeepSeek V4 Pro charges $0.87/1M output tokens vs $0.30 for Llama 4 Scout. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Scout has the edge here at $0.30/1M output tokens.

Multimodal capabilities: Llama 4 Scout supports vision (image inputs) while DeepSeek V4 Pro is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose DeepSeek V4 Pro when:

  • • You need longer outputs (up to 384,000 tokens)
  • • You're already using DeepSeek's API ecosystem

Choose Llama 4 Scout when:

  • • Budget is a primary concern
  • • You need a larger context window (10,000,000 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

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

  • Higher input cost than Llama 4 Scout
  • Higher output cost than Llama 4 Scout
  • Smaller context window than Llama 4 Scout

Llama 4 Scout

  • Input pricing: $0.08/M tokens
  • Output pricing: $0.30/M tokens
  • Context window: 10,000,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Try Different Scenarios

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

DeepSeek V4 Pro (DeepSeek)

Llama 4 Scout (Meta (via Together AI))

Start using DeepSeek V4 Pro today

Sign Up for DeepSeek

Start using Llama 4 Scout today

Sign Up for Meta (via Together AI)

Frequently Asked Questions

Which is cheaper, DeepSeek V4 Pro or Llama 4 Scout?
Llama 4 Scout is cheaper for input tokens at $0.08 per million tokens vs $0.435 for DeepSeek V4 Pro — that's 82% savings on input costs.
What is the context window difference between DeepSeek V4 Pro and Llama 4 Scout?
DeepSeek V4 Pro supports 1,000,000 tokens while Llama 4 Scout supports 10,000,000 tokens — a difference of 9,000,000 tokens in favor of Llama 4 Scout.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 4 Scout is the lower-cost option, while Llama 4 Scout offers a larger context window (10,000,000 vs 1,000,000 tokens). Choose Llama 4 Scout for budget sensitivity or Llama 4 Scout 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 4 Scout costs about $0.69/month. Overall, Llama 4 Scout has lower combined input + output rates ($0.08 in, $0.30 out) vs DeepSeek V4 Pro.
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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