GLM-5 vs Kimi K2.6

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

GLM-5

Z.ai (Zhipu) · Feb 2026

Z.ai's 744B open-weights MoE — within ~4 points of Opus 4.6 on SWE-bench Verified at $1/$3.20 per million tokens.

Kimi K2.6

Moonshot AI · Apr 2026

Moonshot's multimodal flagship that ties GPT-5.5 on several coding evaluations at a fraction of the price, with open weights.

The verdict

Kimi K2.6 wins 1 of the 1 benchmarks these models share, against 0 for GLM-5. GLM-5 is about 1.1x cheaper per blended million tokens (3:1 input:output mix). Kimi K2.6 also takes 262K of context versus 200K for GLM-5.

Benchmark head-to-head 01

SWE-bench Verified
~77.8%~82.5%
GLM-5Kimi K2.6

Specs & pricing

GLM-5Kimi K2.6
modhub Index
Input price / 1M$1$0.95
Output price / 1M$3.2$4
Context window200K262K
Max output128K262K
Open weightsyes (MIT)yes (Modified MIT)
Reasoning modelyesyes
Multimodal inputtexttext, image
Knowledge cutoffDec 2025Feb 2026
ReleasedFeb 2026Apr 2026
Example monthly cost*$14.80$15.50

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, GLM-5 or Kimi K2.6?
Kimi K2.6 wins 1 of the 1 benchmarks these models share, against 0 for GLM-5. GLM-5 is about 1.1x cheaper per blended million tokens (3:1 input:output mix). Kimi K2.6 also takes 262K of context versus 200K for GLM-5.
Which is cheaper, GLM-5 or Kimi K2.6?
GLM-5 costs $1/$3.2 per million input/output tokens, while Kimi K2.6 costs $0.95/$4. For a typical workload of 10M input and 1.5M output tokens per month, that's $14.80 versus $15.50.
Which model is better for coding, GLM-5 or Kimi K2.6?
On SWE-bench Verified — the standard agentic-coding benchmark — Kimi K2.6 scores ~82.5% versus ~77.8% for GLM-5, making Kimi K2.6 the stronger pick for coding agents.

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