GLM 5.2 vs Kimi K2.6
Zhipu AI's GLM-5.2 — the top open-weight coding model of mid-2026. A ~750B sparse MoE (≈40B active) under an MIT license, with a 1-million-token context window and benchmarks (81.0 Terminal-Bench, 62.1 SWE-Bench Pro) sitting just behind Claude Opus 4.8.
🧠 Expert verdict
Our expert verdict: Kimi K2.6 is the stronger all-round choice, scoring 4.7/5 versus 4.6/5 for GLM 5.2, and it stands out for "Ties GPT-5.5 on SWE-Bench Pro coding". Choose Kimi K2.6 if you want the best writing tool overall, especially for state-of-the-art open coding; pick GLM 5.2 if "Top open-weight coding model (81.0 Terminal-Bench)" matters more for your workflow.
GLM 5.2
Zhipu AI's GLM-5.2 — the top open-weight coding model of mid-2026. A ~750B sparse MoE (≈40B active) under an MIT license, with a 1-million-token context window and benchmarks (81.0 Terminal-Bench, 62.1 SWE-Bench Pro) sitting just behind Claude Opus 4.8.
Kimi K2.6
Moonshot AI's open-weight, natively multimodal agentic model — a 1-trillion-parameter MoE (32B active) with a 262K context window that ties GPT-5.5 on several coding benchmarks while staying open under a modified MIT license.
GLM 5.2
✅ Pros
- +Top open-weight coding model (81.0 Terminal-Bench)
- +Huge 1M-token context window
- +Permissive MIT license for commercial use
- +Beats GPT-5.5 on cost (about 1/6th)
- +Two reasoning modes (High / Max)
❌ Cons
- −~750B params heavy to self-host
- −Less brand recognition outside China
- −Smaller third-party tooling
- −Top mode trades speed for depth
Kimi K2.6
✅ Pros
- +Ties GPT-5.5 on SWE-Bench Pro coding
- +Leads open models on Humanity's Last Exam (tools)
- +Native multimodal (text, image, video)
- +262K context, agent-swarm ready
- +Open weights (modified MIT)
❌ Cons
- −1T params heavy to self-host
- −Output pricing higher than MiniMax
- −Tooling still maturing in the West
- −Occasional verbosity
🎯 Best for — GLM 5.2
🎯 Best for — Kimi K2.6
🏷️ Tags — GLM 5.2
🏷️ Tags — Kimi K2.6
Our Verdict
After comparing ratings, pricing and features, Kimi K2.6 comes out ahead with a 4.7/5 rating. It is the better choice for most users.
Expert take on each tool
📌 GLM 5.2
GLM-5.2 is the best open-weight model for coding in mid-2026: top open Terminal-Bench score, a 1M-token context window and an MIT license, at roughly a sixth of GPT-5.5's cost. It is the standout choice for teams that want to build on and ship open weights without restrictive licensing.
📌 Kimi K2.6
Kimi K2.6 is the strongest open-weight model for coding and agentic work in 2026, trading blows with closed frontier models. Pick it when you want near-Opus capability with open weights — just budget for the hardware or hosted API.
❓ Frequently Asked Questions
Which is better: GLM 5.2 or Kimi K2.6?
Kimi K2.6 has the higher user rating (4.7/5 vs 4.6/5), making it the stronger overall pick. That said, GLM 5.2 can still be the better fit depending on your budget and specific needs — see the full comparison above.
Is GLM 5.2 or Kimi K2.6 cheaper?
GLM 5.2 (Open weights (MIT) / GLM Coding Plan from $10/mo) and Kimi K2.6 (Open weights / API from ~$0.95 in, $4 out per 1M tokens) sit at a similar price point. The best way to compare actual cost is to check each tool's plans for the specific features and usage limits you need.
Can I switch from GLM 5.2 to Kimi K2.6?
Yes — switching between GLM 5.2 and Kimi K2.6 is usually straightforward since both are writing tools with similar core workflows. Most users can export their data and get started with Kimi K2.6 within a day; just check Kimi K2.6's free plan before committing to a paid tier.