Qwen 3.7-Max vs Kimi K2.6

Alibaba's proprietary flagship against Moonshot AI's open-weight coding model — published pricing, context windows and specs, side by side.

Compiled by AI Model Hub · Last updated 8 July 2026 · All figures from the two models' AI Model Hub pages (vendor release materials and independent trackers)

At a glance: Qwen 3.7-Max lists at $2.50 / $7.50 per 1M tokens with a 1,000,000 tokens context window; Kimi K2.6 lists at $0.60 / $2.50 per 1M tokens (official) with 262,144 tokens of context. The full spec table, price table and each model's published benchmarks are below.

On this page

Side-by-side specs
Price comparison
What the table says
FAQ

Qwen 3.7-Max vs Kimi K2.6: side-by-side

	Qwen 3.7-Max	Kimi K2.6
Maker	Alibaba	Moonshot AI
Released	20 May 2026 (unveiled, Apsara Summit)	20 April 2026
Tier	Proprietary flagship	Open-weight coding model
Context window	1,000,000 tokens	262,144 tokens
Max output	Not specified	262,142 tokens
API price (per 1M)	$2.50 / $7.50 per 1M tokens	$0.60 / $2.50 per 1M tokens (official)
Access	Closed-weight, proprietary (Alibaba Cloud)	Open weights — Modified MIT licence (MoE, 1T total params / 32B active)
Best at	Long-running agent tasks with hundreds/thousands of tool calls	Long-horizon coding, multi-agent orchestration
Standout	~1T-param MoE with ~24B active per pass; Artificial Analysis Intelligence Index 56.6	Text, images and video in one architecture; Multi-head Latent Attention

Price comparison

Model	Input (per 1M)	Output (per 1M)
Qwen 3.7-Max	$2.50	$7.50
Kimi K2.6	$0.60	$2.50

Estimate your monthly API cost for Qwen 3.7-Max vs Kimi K2.6 with the LLM API pricing calculator →

Published benchmark figures

Each figure below is the model's own published score as listed on its AI Model Hub page. Different suites (and suite versions) are not directly comparable.

Model	Benchmark	Published score
Qwen 3.7-Max	Artificial Analysis Intelligence Index	56.6
Kimi K2.6	SWE-bench Pro	58.6%
Kimi K2.6	Humanity's Last Exam (with tools)	54.0%

What the table says

Pricing. Qwen 3.7-Max lists at $2.50 / $7.50 per 1M tokens; Kimi K2.6 lists at $0.60 / $2.50 per 1M tokens (official). On these published rates, Kimi K2.6's input price is 4.2x lower than Qwen 3.7-Max's, and Kimi K2.6's output price is 3x lower than Qwen 3.7-Max's.
Context. Qwen 3.7-Max's context window (1,000,000 tokens) is about 3.8x the size of Kimi K2.6's (262,144 tokens).
Access. Kimi K2.6 publishes open weights (Modified MIT licence), so it can be self-hosted; Qwen 3.7-Max is proprietary and available only through hosted APIs and apps.
Benchmarks. The two model pages report results on different benchmark suites, so the published scores are not directly comparable head-to-head; the tables below list each model's own published figures.

Key takeaway

Everything above is drawn from the two models' published rate cards and spec sheets. Which one fits depends on the workload you price it against — run your own token volumes through the pricing calculator to see the monthly difference.

Full Qwen 3.7-Max overview Full Kimi K2.6 overview

Frequently asked questions

Which is cheaper, Qwen 3.7-Max or Kimi K2.6?

Kimi K2.6 — it lists at $0.60 / $2.50 per 1M tokens (official) versus $2.50 / $7.50 per 1M tokens for Qwen 3.7-Max.

Which has the bigger context window, Qwen 3.7-Max or Kimi K2.6?

Qwen 3.7-Max — 1,000,000 tokens, versus 262,144 tokens for Kimi K2.6.

Which model is newer?

Qwen 3.7-Max is the more recent release (20 May 2026 (unveiled, Apsara Summit)); Kimi K2.6 was released 20 April 2026.

Can I run Qwen 3.7-Max or Kimi K2.6 locally?

Only Kimi K2.6 — it publishes open weights under the Modified MIT licence. Qwen 3.7-Max is proprietary and only available via hosted APIs and apps.

Related comparisons

Sources & further reading: