Standard Compute
Model Comparison 2026

Kimi K2.6 vs Qwen3.7 Max

Kimi K2.6
Moonshot AI · Frontier · Open weights
$1.27/1M · 262K ctx
Qwen3.7 Max
Alibaba (Qwen) · Frontier · Proprietary
$2.36/1M · 1M ctx

Community Vote

Pick a winner in each dimension — change your vote anytime.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
Kimi K2.6
Qwen3.7 Max
Maker
Moonshot AI
Alibaba (Qwen)
Blended price / 1M
$1.27
$2.36
Input / output
$0.65 in · $2.72 out / 1M tokens
$1.48 in · $4.42 out / 1M tokens
Context window
262K
1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.6
9.0
Agentic Ability
8.8
9.2
Speed
7.6
7.6
Value for $
9.2
8.8
Reliability
9.0
8.6

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Kimi K2.6 or Qwen3.7 Max?

Updated 2026-08-02

Choose Kimi K2.6 if you want a flagship-feel open-weight generalist. Choose Qwen3.7 Max if you want capable frontier-class output at a friendlier price.

Editorially it's close: each model leads in 2 of our five dimensions. On price, Kimi K2.6 runs about $1.27 per 1M tokens (blended) and is open-weight; Qwen3.7 Max is about $2.36 and proprietary.

Where Kimi K2.6 falls short
  • A step behind the closed flagships
  • Pricier than the cheapest open models
Full Kimi K2.6 breakdown →
Where Qwen3.7 Max falls short
  • Max tier is hosted, not open weights
  • Ecosystem smaller in the West
Full Qwen3.7 Max breakdown →

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