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Free tool · Updated 2 Oct 2026

Qwen3.8-Max vs GLM-5.2 vs Kimi K3

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-MaxGLM-5.2Kimi K3

Cheapest blended

GLM-5.2

$2.15 / 1M tokens

Largest context

GLM-5.2Kimi K3

Tie at 1.05M tokens

Fastest output

GLM-5.2

88 tokens/s

Top on Terminal-Bench 2.1

Kimi K3

88.3%

Specifications

SpecQwen3.8-MaxAlibabaGLM-5.2Z.aiKimi K3Moonshot
ProviderAlibabaZ.aiMoonshot
Released2 Aug 202616 Jun 2026Jul 2026
LicenceOpen weightOpen weightOpen weight
Context window1M tokens1.05M tokens1.05M tokens
Max output131K tokens131K tokens1.05M tokens
Input / 1M$2.00*$1.40*$3.00*
Output / 1M$6.00$4.40$15.00
Cached input / 1M$0.25$0.26$0.30
Speed39 tokens/s88 tokens/s34 tokens/s
Input typestext, image, videotexttext, image, video
Best forCodingAgentsReasoningLong contextCodingAgentsLong contextCodingAgentsReasoningLong context

* Qwen3.8-Max: International (Singapore) list price. Implicit cache $0.25; explicit cache creation $2.50, explicit cache read $0.17 (Qwen Cloud). Global deployment scope is cheaper at $1.65 / $4.951. A faster qwen3.8-max-prime mode costs about 2x. Snapshot qwen3.8-max-0902 added 2 Sep 2026.

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

* Kimi K3: Cache write $3.00 (5-minute TTL, default) or $6.00 (1-hour TTL); cache hits $0.30. Prices exclude taxes.

Benchmark scores

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

Qwen3.8-MaxGLM-5.2Kimi K3
Terminal-Bench 2.186.6%81%88.3%
SWE-bench Pro67.7%62.1% no published score
GPQA Diamond92.6%91.2%93.5%
Humanity’s Last Exam (no tools)43.6%40.5%43.5%
Humanity’s Last Exam (with tools)56.2%54.7%56%

Price per 1M tokens

Qwen3.8-MaxGLM-5.2Kimi K3
Input$2.00$1.40$3.00
Output$6.00$4.40$15.00
Cached input$0.25$0.26$0.30

Context window and speed

Qwen3.8-MaxGLM-5.2Kimi K3
Context1M1.05M1.05M
Tokens/s398834

Notes

Qwen3.8-Max
Alibaba's current flagship, built on the open-weight Qwen3.8-2.4T-A95B (2.4T total, 95B active MoE). The API version adds vision input, non-thinking mode and 1M context by default. Weights license allows commercial use, but products over 100M MAU or $20M monthly revenue must show the model name, and Model-as-a-Service or AI coding/office assistant businesses with over $50M revenue in 12 months need a separate license from Qwen.
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.
Kimi K3
Moonshot's flagship and the first open 3T-class model: 2.8T total, 104B active parameters, native vision, 1M context. Kimi K3 License allows commercial use, but Model-as-a-Service operators with over $20M revenue in 12 months need a separate agreement, and products over 100M MAU or $20M monthly revenue must display "Kimi K3".

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