Free tool · Updated 2 Oct 2026

Qwen3.8-Flash vs GLM-5.2 vs Qwen3.7-Max

Pick two to four models to compare benchmark scores, prices, context windows and speed. The link updates as you pick, so you can share the exact comparison.

Qwen3.8-FlashGLM-5.2Qwen3.7-Max

Cheapest blended

Qwen3.8-Flash

$0.23 / 1M tokens

Largest context

GLM-5.2

1.05M tokens

Fastest output

Qwen3.7-Max

203 tokens/s

Top on SWE-bench Pro

Qwen3.8-Flash

62.5%

Specifications

Spec	Qwen3.8-FlashAlibaba	GLM-5.2Z.ai	Qwen3.7-MaxAlibaba
Provider	Alibaba	Z.ai	Alibaba
Released	26 Aug 2026	16 Jun 2026	21 May 2026
Licence	Open weight	Open weight	Proprietary
Context window	1M tokens	1.05M tokens	1M tokens
Max output	131K tokens	131K tokens	131K tokens
Input / 1M	$0.15^*	$1.40^*	$2.50^*
Output / 1M	$0.47	$4.40	$7.50
Cached input / 1M	$0.016	$0.26	$0.50
Speed	–	88 tokens/s	203 tokens/s
Input types	text, image, video	text	text
Best for	BudgetCodingAgentsMultimodal	CodingAgentsLong context	CodingAgentsReasoningLong context

* Qwen3.8-Flash: International (Singapore) price. Explicit cache read $0.016.

* GLM-5.2: Same price as GLM-5.3. Cached-input storage is free for a limited time.

* Qwen3.7-Max: International (Singapore) list price. Implicit cache $0.50; explicit cache read $0.25. Global deployment scope $1.65 / $4.951. Alibaba now lists Qwen3.7 under Legacy models; Qwen3.8-Max is cheaper ($2 / $6).

Benchmark scores

Officially reported scores only. A model with no published score on a benchmark shows a line, not a zero.

Qwen3.8-FlashGLM-5.2Qwen3.7-Max

SWE-bench Pro62.5%62.1%60.6%

GPQA Diamond91.7%91.2%92.4%

Humanity’s Last Exam (no tools)35.9%40.5%41.4%

Terminal-Bench 2.1 no published score81%74.5%

Price per 1M tokens

Qwen3.8-FlashGLM-5.2Qwen3.7-Max

Input$0.15$1.40$2.50

Output$0.47$4.40$7.50

Cached input$0.016$0.26$0.50

Context window and speed

Qwen3.8-FlashGLM-5.2Qwen3.7-Max

Context1M1.05M1M

Tokens/s no published score88203

Notes

Qwen3.8-Flash: Fast multimodal Qwen model based on the open-weight Qwen3.8-Flash-Next (125B total, 6B active, plus 51B n-gram embedding), an experimental preview of the Qwen4 architecture. The Qwen Community License allows commercial use with a name-display rule above 100M MAU or $20M monthly revenue, but any Model-as-a-Service or AI coding/office assistant business needs a separate license from Qwen regardless of size.
GLM-5.2: Z.ai flagship for long-horizon tasks with a 1M-token context, 744B total and 40B active parameters. Open weights under plain MIT with no regional limits (commercial use allowed). Superseded by GLM-5.3 on 18 Aug 2026.
Qwen3.7-Max: Largest model of the Qwen3.7 series, aimed at agent work, programming and long autonomous tasks. The qwen3.7-max alias points to the 2026-05-20 text-only snapshot; the 2026-06-08 snapshot adds image understanding. Not open weight.

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