GLM-5.2 vs Kimi K2.7-Code

Released within days of each other in June 2026, GLM-5.2 and Kimi K2.7-Code are two of the highest-value open-weights coding models to evaluate for agentic engineering. GLM-5.2 brings stronger public benchmark coverage and a 1M-token context route. Kimi K2.7-Code brings Moonshot's MCP-first evidence, multimodal input, and lower direct input pricing.

Pick GLM-5.2 for public benchmark confidence and long-context coding: the seed tracks SWE-bench Pro and Terminal-Bench 2.1 rows for GLM-5.2, while Kimi K2.7-Code has no public SWE-bench or Terminal-Bench submission. Pick Kimi K2.7-Code for MCP-heavy workflows, image/video input, and cheaper direct input tokens: Moonshot reports MCP Mark Verified at 81.1, and Kimi's direct input price is $0.95/M versus GLM's currently provider-dependent metered routes.

Decision scorecard

Local evidence first

Signal	GLM-5.2	Kimi K2.7-Code	How to read it
Product type	Standalone API model	Coding-specialized model	Read downstream rows through the product-type lens before comparing benchmarks, prices, or provider availability.
Best for	reasoning-heavy apps, tool-calling agents, and long-context analysis	custom coding agents, code generation, and tool loops	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	Coding, RAG, and Agents	Primary workload tags from local decision data.
Context window	1m	262k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$4.40/1M tokens	$3.07/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	1 tracked	2 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	CursorBench leader	5 shared	Visible benchmark lead is 5.3 points on CursorBench.

Decision tradeoffs

Choose GLM-5.2 when...

GLM-5.2 holds a shared-benchmark lead on CursorBench, ahead by 5.3 points.
GLM-5.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
GLM-5.2 uniquely exposes Code execution in local model data.
Local decision data tags GLM-5.2 for Coding, RAG, and Agents.

Choose Kimi K2.7-Code when...

Kimi K2.7-Code has the lower cheapest tracked output price at $3.07/1M tokens.
Kimi K2.7-Code has broader tracked provider coverage for fallback and route flexibility.
Kimi K2.7-Code uniquely exposes Vision and Multimodal in local model data.
Local decision data tags Kimi K2.7-Code for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Kimi K2.7-Code

Requests / monthInput tokens / requestOutput tokens / request

GLM-5.2

$2,220

Cheapest tracked route/tier: OpenRouter

Kimi K2.7-Code

$1,257

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $963. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GLM-5.2 -> Kimi K2.7-Code

Provider overlap exists on OpenRouter; start route-level A/B tests there.
Kimi K2.7-Code is $1.33/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Code execution before moving production traffic.
Kimi K2.7-Code adds Vision and Multimodal in local capability data.

Kimi K2.7-Code -> GLM-5.2

Provider overlap exists on OpenRouter; start route-level A/B tests there.
GLM-5.2 is $1.33/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Check replacement coverage for Vision and Multimodal before moving production traffic.
GLM-5.2 adds Code execution in local capability data.

Specs

Specification	GLM-5.2 Zhipu AI	Kimi K2.7-Code Moonshot AI
Released	2026-06-13	2026-06-12
Context window	1m	262k
Parameters	753B total, 40B active	1T
Architecture	Mixture of Experts	Mixture of Experts
License	MITOSI-approved	MITOSI-approved
Openness	Open source	Open source
Weights	Available	Available
Code	Unknown	Unknown
Commercial use	Commercial use: permitted	Commercial use: permitted
Knowledge cutoff	-	-

Pricing and availability

Pricing attribute	GLM-5.2	Kimi K2.7-Code
Input price	$1.40/1M tokens	$0.61/1M tokens
Output price	$4.40/1M tokens	$3.07/1M tokens
Providers	OpenRouter	Moonshot AI Kimi OpenRouter

Capabilities

Capability	GLM-5.2	Kimi K2.7-Code
Vision	No	Yes
Multimodal	No	Yes
Reasoning	Yes	Yes
JSON / Tool use	Yes	Yes
Structured outputs	Yes	Yes
Code execution	Yes	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

Benchmark	GLM-5.2	Kimi K2.7-Code
CursorBench	55.0	49.7
CursorBench	54.6	49.7
GeneBench-Pro	4.6	2.3
CursorBench	51.5	49.7
MCP-Atlas	76.8	76.0

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Model pages

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Last reviewed: 2026-06-25. Data sourced from public model cards and provider documentation.

Both models

GLM-5.2 Kimi K2.7-Code