open-source

Qwen Max vs Deepseek V3.2

Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.

Specifications

Feature Qwen Max Deepseek V3.2
Provider dashscope deepseek
Model ID dashscope/qwen-max deepseek/deepseek-v3.2
Input / 1M tokens $1.60 $0.28 (83% cheaper)
Output / 1M tokens $6.40 $0.40 (94% cheaper)
Cached input / 1M
Context window 31kk tokens 164kk tokens
Max output 8kk tokens 164kk tokens
Vision
Function calling
Prompt caching
Web search
JSON schema

Monthly cost comparison

No cache discount applied — pure token costs at three usage scales.

Scale Qwen Max Deepseek V3.2 Winner
Small
1M in / 0.2M out
$2.88 $0.36 Deepseek V3.2 saves 88%
Medium
10M in / 2M out
$28.80 $3.60 Deepseek V3.2 saves 88%
Large
100M in / 20M out
$288 $36.00 Deepseek V3.2 saves 88%

Category winners

Cheapest input
Deepseek V3.2
$0.28/M · 83% less than the other
Cheapest output
Deepseek V3.2
$0.40/M · 94% less than the other
Larger context
Deepseek V3.2
164kk tokens · 433% larger window
More features
Deepseek V3.2
2 / 5 capabilities

Better for…

Short interactions & high-throughput APIs
$0.40/M output — 94% cheaper on output at scale
Deepseek V3.2
Long-document processing & large codebases
164k context window vs 31k — 433% larger context
Deepseek V3.2
Agentic workflows & tool use
Supports 2 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Deepseek V3.2
Cost-sensitive production at scale
$36.00/month at 100M-token scale — 88% cheaper than the alternative
Deepseek V3.2

Deep-dive on each model

Pricing data sourced from LiteLLM and refreshed regularly. Always verify with each provider's official pricing page before making business decisions.