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DeepSeek V4 vs Llama 4 Maverick

Comprehensive comparison between DeepSeek's DeepSeek V4 and Meta's Llama 4 Maverick. Compare pricing, performance, features, and user reviews.

deepseek vs llamadeepseek v4 vs llama 4open source ai comparison

DeepSeek V4

DeepSeek

DeepSeek's trillion-parameter MoE model with only 32B active parameters. 1M context window, native multimodal (text/image/video), and API pricing at ~1/20th of GPT-5. The fastest adopted open-source model in history, capturing 6% global market share within months.

$0.14/$0.28per M tokens
Details

Llama 4 Maverick

Meta

Meta's flagship open-source multimodal model. 17B active parameters with 400B total (128 expert MoE). 1M context window, natively multimodal with early fusion. Extremely cost-effective at $0.15/$0.60 per M tokens. Supports 12 languages.

$0.15/$0.6per M tokens
Details

Specs Comparison

SpecificationDeepSeek V4Llama 4 Maverick
Context Window1000K1049K
Max Output66K16K
Input (per 1M tokens)$0.14$0.15
Output (per 1M tokens)$0.28$0.60
Reasoning
Open Source

Scenario Score Comparison

DeepSeek V4

Pros

  • + 1M token context window
  • + Native multimodal (text/image/video)
  • + Price 1/20th of proprietary models
  • + Open-source & self-hostable
  • + Matches frontier model performance

Cons

  • − Servers in China (latency for overseas users)
  • − Geopolitical supply chain concerns
  • − Self-hosting requires significant hardware

Llama 4 Maverick

Pros

  • + Extremely affordable ($0.15/$0.60)
  • + 1M context window
  • + Native multimodal (text + image)
  • + Open source (Llama 4 Community License)
  • + High throughput MoE architecture

Cons

  • − Coding performance below Claude/GPT
  • − Benchmark gaming controversy
  • − 16K max output limit
  • − Knowledge cutoff August 2024

Recommendation

Choose DeepSeek V4 if you:

  • • Need 1m token context window
  • • Need native multimodal (text/image/video)
  • • Need price 1/20th of proprietary models

Choose Llama 4 Maverick if you:

  • • Need extremely affordable ($0.15/$0.60)
  • • Need 1m context window
  • • Need native multimodal (text + image)

Based on scores across 0 scenarios, both models perform equally well.

DeepSeek V4 Details Llama 4 Maverick Details

Get Started with DeepSeek V4

1Visit the provider's website
2Create an account
3Start using the model

Get Started with Llama 4 Maverick

1Try via OpenRouter or Together AI
2Or self-host (open source)

💡 Open source - can be self-hosted or used via API providers.

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