Kimi K2.6 vs Qwen3.7 Max: which is better for agents?

Qwen3.7 Max scores higher on output quality (6.3/10 vs 6.0/10), while Kimi K2.6 is the cheaper option. Kimi K2.6 is best for general writing and reasoning on an open-weight model; Qwen3.7 Max is best for fast, long-context general work in Qwen-based stacks. Live community votes on this page show what people actually prefer.

Is Kimi K2.6 cheaper than Qwen3.7 Max?

Kimi K2.6 is cheaper: roughly $1.48 vs $2.36 per 1M tokens (blended). Kimi K2.6: $0.65 in · $3.41 out / 1M tokens. Qwen3.7 Max: $1.48 in · $4.42 out / 1M tokens.

Can I switch between Kimi K2.6 and Qwen3.7 Max in the same agent?

Yes. Model-agnostic agents (Cline, Aider, OpenClaw, Hermes Agent, Kilo Code, OpenCode) let you swap models per task. Many people route hard tasks to the stronger model and routine work to the cheaper one.

Kimi K2.6 vs Qwen3.7 Max: Which AI Model Is Better? (2026)

Community vote

Pick a winner in each dimension. You can change your vote any time.

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 Money

How much capability you get per dollar

Reliability

Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec

Kimi K2.6

Qwen3.7 Max

Maker

Moonshot AI

Alibaba (Qwen)

Blended price / 1M

$1.48

$2.36

Input / output

$0.65 in · $3.41 out / 1M tokens

$1.48 in · $4.42 out / 1M tokens

Context window

262K

Open weights

Yes

Tool use

Yes

Reasoning

Yes

Output Quality

6.0

6.3

Agentic Ability

4.6

4.9

Speed

5.9

9.2

Value for Money

5.7

4.7

Reliability

8.4

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

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

Updated 2026-10-17

Choose Kimi K2.6 if you want general writing and reasoning on an open-weight model. Choose Qwen3.7 Max if you want fast, long-context general work in Qwen-based stacks.

In our editorial scoring, Qwen3.7 Max leads in 3 of five dimensions (output quality, agentic ability and speed), while Kimi K2.6 leads in 1. On price, Kimi K2.6 runs about $1.48 per 1M tokens (blended) and is open-weight; Qwen3.7 Max is about $2.36 and proprietary.

Where Kimi K2.6 falls short

Weak on long agentic tasks (0.5% in Artificial Analysis's Terminal-Bench 4.0 run)
Slow (about 43 output tokens/s, per Artificial Analysis)

Full Kimi K2.6 breakdown →

Where Qwen3.7 Max falls short

Weak on long agentic tasks (1.5% in Artificial Analysis's Terminal-Bench 4.0 run)
Costs more per request than Claude Sonnet 5.5 at OpenRouter's listed price

Full Qwen3.7 Max breakdown →

Current Claude, GPT, Gemini and open models run on Standard Compute

Standard Compute

Current frontier models Claude Fable 5.1 · GPT-6 Astra