L LLM Cloud Hub
Side-by-side comparison

DeepSeek V3 0324 vs Qwen3 Coder Next

DeepSeek

DeepSeek V3 0324

πŸ”§ Tools {} JSON
Input / 1M
$0.2000
Output / 1M
$0.7700
View DeepSeek V3 0324 β†’
Qwen

Qwen3 Coder Next

πŸ”§ Tools {} JSON
Input / 1M
$0.1100
Output / 1M
$0.8000
View Qwen3 Coder Next β†’
DeepSeek V3 0324Qwen3 Coder Next
Provider DeepSeek Qwen
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 163,840 262,144
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). tools, json_mode tools, json_mode
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 0.2000 0.1100
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 0.7700 0.8000

Frequently asked questions

Which is cheaper, DeepSeek V3 0324 or Qwen3 Coder Next?

Qwen3 Coder Next is cheaper than DeepSeek V3 0324 on a 50/50 input/output blend by about $0.03 per 1M tokens. Exact savings depend on your input-vs-output ratio β€” use the cost calculator on this page for a workload-specific estimate.

Which has a larger context window, DeepSeek V3 0324 or Qwen3 Coder Next?

Qwen3 Coder Next has the larger context window at 262k tokens versus 164k tokens for DeepSeek V3 0324. That means Qwen3 Coder Next can ingest about 1.6x as much text per request.

What is the difference between DeepSeek V3 0324 and Qwen3 Coder Next?

DeepSeek V3 0324 comes from DeepSeek; Qwen3 Coder Next comes from Qwen. They differ in pricing, context window, and supported capabilities β€” see the side-by-side table on this page for the exact figures, refreshed nightly.

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