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Head-to-head · 2026

Qwen3.7-Max vs DeepSeek V4

Verdict. Qwen3.7-Max has the higher raw intelligence but is closed and API-only; DeepSeek V4 is open-weight MIT, cheaper, and self-hostable. Capability vs control.

Qwen3.7-MaxDeepSeek V4
ProviderAlibaba (Qwen)DeepSeek
Released2026-05-192026-04-24
Context1M1M
Max output66K384K
Input /1M$1.25$0.44
Output /1M$3.75$0.87
Modalitiestext, codetext, code

The analysis

Both are the leading Chinese-lab flagships, but they sit on opposite sides of the open-weight line. Qwen3.7-Max posts a top-5 Artificial Analysis Intelligence Index of 56.6 and a documented 35-hour autonomous run — but it is closed-weight, API-only ($2.50/$7.50), with an undisclosed architecture. DeepSeek V4 trails slightly on aggregate (~52) yet ships under MIT as open weights you can self-host, at lower cost.

If your priority is the highest capability-per-dollar via an API and you can live with a closed model, Qwen3.7-Max leads. If you need to own the weights, audit the model, or deploy in a sovereign/air-gapped setting, DeepSeek V4 is the only one of the two that qualifies.

Caveat: several of Qwen3.7-Max’s headline figures (the 35-hour run, some coding evals) are vendor-claimed and pending independent reproduction; it is also a verbose reasoner, so effective cost-per-task runs above the rate card.

Pick Qwen3.7-Max if…

  • Highest open-frontier intelligence via API
  • Long autonomous tool-loops (35-hour demo)
  • Anthropic Messages-compatible harness (Claude Code)

Pick DeepSeek V4 if…

  • You need open weights you can self-host (MIT)
  • Lower cost and auditable architecture
  • Sovereign / air-gapped deployment

Qwen3.7-Max

Alibaba’s closed-weight agent flagship: top-5 intelligence, 1M context, and 35-hour autonomy at half the Western-frontier price.

DeepSeek V4

Open-weight frontier-class coding at one-sixth the price — MIT-licensed, 1M context, self-hostable.

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