Model comparison

DeepSeek V3.2 vs Llama 4 Maverick

Compare DeepSeek V3.2 vs Llama 4 Maverick API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.

DeepSeek V3.2

deepseek · deepseek/deepseek-v3.2

Input
$0.28
Output
$0.4
Context
163.8K

Llama 4 Maverick

deepinfra · deepinfra/meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8

Input
$0.15
Output
$0.6
Context
1M

Quick take

Llama 4 Maverick has the lower input price at $0.15 per 1M input tokens. Llama 4 Maverick is cheaper for the example blended workload below. Llama 4 Maverick has the larger context window at 1M tokens.

Choose DeepSeek V3.2 if...

  • DeepSeek V3.2 is stronger when the same large prompt or document is reused because it supports prompt caching.

Choose Llama 4 Maverick if...

  • Llama 4 Maverick is the better default for cost-sensitive traffic and repeated high-volume calls.
  • Llama 4 Maverick is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
  • Llama 4 Maverick gives more room for long generated answers, reports, or code output.

Example workload cost

Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.

Workload DeepSeek V3.2 Llama 4 Maverick Cheaper
1M input + 200K output $0.36 $0.27 Llama 4 Maverick
10M input + 2M output $3.60 $2.70 Llama 4 Maverick
100M input + 20M output $36.00 $27.00 Llama 4 Maverick

Context, output, and capability fit

Llama 4 Maverick provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.

DeepSeek V3.2 max output
163.8K
Llama 4 Maverick max output
1M
DeepSeek V3.2 features
prompt caching, function calling
Llama 4 Maverick features
function calling

Risk notes for DeepSeek V3.2

  • Smaller context window: long PDFs, codebases, or RAG prompts may need chunking.

Risk notes for Llama 4 Maverick

  • No prompt caching in this snapshot: repeated long-context calls may be more expensive.

Routing tags

budgethigh-volumecodingreasoningopen-weightlocal-openagentsmultimodallong-contextrag

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