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DeepSeek V3.2 (Chat) vs Llama 4 Maverick

Complete pricing and performance comparison between DeepSeek's DeepSeek V3.2 (Chat) and Meta's Llama 4 Maverick.

Quick Verdict

Cheaper
Llama 4 Maverick (input) / DeepSeek V3.2 (Chat) (output)
Input: 1.0x diff, Output: 2.0x diff
Larger Context
Llama 4 Maverick
1.0M vs 128K
Higher Quality
DeepSeek V3.2 (Chat)
Score: 32 vs 18
Faster
Llama 4 Maverick
127 vs 34 tok/s

Pricing Comparison

SpecDeepSeek V3.2 (Chat)Llama 4 MaverickDifference
ProviderDeepSeekMeta
Input / 1M tokens$0.28$0.27Llama 4 Maverick is 4% more expensive
Output / 1M tokens$0.42$0.85DeepSeek V3.2 (Chat) is 51% more expensive
Context Window128K1.0M8x difference
Max Output8K16K

Performance Benchmarks

MetricDeepSeek V3.2 (Chat)Llama 4 MaverickWinner
Quality Index3218DeepSeek V3.2 (Chat)
Output Speed34 tok/s127 tok/sLlama 4 Maverick
Time to First Token1.50s0.50sLlama 4 Maverick
Value (Quality/$)114.668.1Higher = better value

Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.

Cost at Scale

Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).

UsageDeepSeek V3.2 (Chat)Llama 4 MaverickSavings
Single request
1K in / 300 out
$0.0004$0.0005Same
10 requests
10K in / 3K out
$0.0041$0.0053DeepSeek V3.2 (Chat) saves $0.0012
100 requests
100K in / 30K out
$0.041$0.053DeepSeek V3.2 (Chat) saves $0.012
1,000 requests
1M in / 300K out
$0.406$0.525DeepSeek V3.2 (Chat) saves $0.119
10,000 requests
10M in / 3M out
$4.06$5.25DeepSeek V3.2 (Chat) saves $1.19
1M requests/mo
1B in / 300M out
$406.00$525.00DeepSeek V3.2 (Chat) saves $119.00

Pros & Cons

DeepSeek V3.2 (Chat) Strengths

  • +Cheaper output tokens
  • +Higher quality score (32 vs 18)

Llama 4 Maverick Strengths

  • +Cheaper input tokens
  • +Larger context window (1.0M vs 128K)
  • +Higher max output tokens
  • +Faster output (127 vs 34 tok/s)
  • +Lower latency (faster first token)

When to Use Each Model

Choose DeepSeek V3.2 (Chat) for

  • Tasks requiring maximum accuracy and reasoning

Choose Llama 4 Maverick for

  • Long documents, large codebases, or multi-turn conversations
  • Generating long-form content or detailed code
  • Real-time applications, chat, or autocomplete

Frequently Asked Questions

Which is cheaper, DeepSeek V3.2 (Chat) or Llama 4 Maverick?
For input tokens, Llama 4 Maverick is 1.0x cheaper at $0.27/1M tokens. For output tokens, DeepSeek V3.2 (Chat) is 2.0x cheaper at $0.42/1M tokens. At typical usage (1M input + 300K output), DeepSeek V3.2 (Chat) costs $0.406 vs Llama 4 Maverick at $0.525.
What's the context window difference?
DeepSeek V3.2 (Chat) supports 128K context (128,000 tokens), while Llama 4 Maverick supports 1.0M (1,048,576 tokens). Llama 4 Maverick can handle 8x more context in a single request.
Which model has better benchmarks?
Quality Index: DeepSeek V3.2 (Chat) scores 32 vs Llama 4 Maverick at 18. Speed: DeepSeek V3.2 (Chat) generates 34 tok/s vs Llama 4 Maverick at 127 tok/s. Time to first token: DeepSeek V3.2 (Chat) at 1.50s vs Llama 4 Maverick at 0.50s.
When should I choose DeepSeek V3.2 (Chat) over Llama 4 Maverick?
Choose DeepSeek V3.2 (Chat) when you need: Cheaper output tokens, Higher quality score (32 vs 18). Choose Llama 4 Maverick when you need: Cheaper input tokens, Larger context window (1.0M vs 128K), Higher max output tokens, Faster output (127 vs 34 tok/s), Lower latency (faster first token).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): DeepSeek V3.2 (Chat) = $4.06, Llama 4 Maverick = $5.25. At 10K input + 1K output per request (longer conversations): DeepSeek V3.2 (Chat) = $32.20, Llama 4 Maverick = $35.50.

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