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What’s the latest openrouter models that are glm 5.2 competitors
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## Latest OpenRouter Models That Are GLM 5.2 Competitors (June 2026)
**GLM 5.2** (Z.ai, June 16, 2026) is the #1 open-weight AI model on the Artificial Analysis Intelligence Index at **51**. It's a 753B-param / 40B-active MoE with a 1M context window.
### 🥇 Direct Open-Weight Competitors on OpenRouter
| Model | Lab | Key Spec | Intelligence Index | Context | OpenRouter Price (input/output per M tokens) |
|---|---|---|---|---|---|
| **GLM 5.2** | Z.ai | 753B/40B active MoE | **51** (#1 open) | 1M | ~$0.45 / $3.31 |
| **DeepSeek V4 Pro** | DeepSeek | 1.6T/~200B active MoE | 44 | 128-200K | ~$0.55-0.75 / $1.50-2.00 |
| **DeepSeek V4 Flash** | DeepSeek | 284B/13B active MoE | — | 1M | **$0.14/$0.28** (cheapest) |
| **NVIDIA Nemotron 3 Ultra** | NVIDIA | — | **48** (#2 open) | — | Varies |
| **Kimi K2.7 Code** | Moonshot AI | 1T/30B active MoE | ~43 | 256K | ~$0.95 / $4.00 |
| **Kimi K2.6** | Moonshot AI | — | 43 | — | Varies |
| **MiniMax M3** | MiniMax | Multimodal, long-context | 44 | — | ~$0.30/M input |
| **Qwen 3.7** | Alibaba | Frontier open-weight | — | — | Varies |
| **Mistral (latest)** | Mistral AI | European open-weight | — | — | Varies |
### When GLM 5.2 Wins
- **Long-horizon agentic coding** — 1M context, top Intelligence Index score (51)
- **Front-end coding** — #2 on Code Arena WebDev (second only to Claude Fable 5)
- **Self-host cost efficiency** — Only 40B active params, fits on fewer GPUs
### When Competitors Win
- **DeepSeek V4 Flash** → Cost-sensitive bulk coding ($0.14/M input, 150x cheaper than GPT-5.5)
- **DeepSeek V4 Pro** → Max SWE-bench score (80.6%), ecosystem maturity
- **Kimi K2.7 Code** → MCP tool-heavy agents, vision input (MoonViT), first-party Kimi Code workspace
- **NVIDIA Nemotron 3 Ultra** → Best U.S. open-weight option (48 on AI Index)
### The Routing Strategy (June 2026 Recommendation)
Most production teams are using **OpenRouter to route across all three**: GLM 5.2 for long-horizon coding, DeepSeek V4 Flash/Pro for cost-sensitive SWE, and Kimi K2.7 Code for MCP-heavy agent workloads.
*(Sources: OpenRouter Blog June 27, 2026; Andrew.ooo comparison June 19, 2026; OpenRouter API model listing)*
Sources visited
- openrouter.ai/compare/z-ai/glm-5.2
- openrouter.ai/rankings
- www.digitalapplied.com/blog/openrouter-new-models-june-2026-
- openrouter.ai/z-ai/glm-5.2
- andrew.ooo/answers/glm-5-2-vs-deepseek-v4-pro-vs-kimi-k2-7-o
- openrouter.ai/models
- openrouter.ai/models?q=deepseek+v4
- openrouter.ai/api/v1/models
- openrouter.ai/blog/insights/the-open-weight-models-that-matt
1searchOpenRouter latest models 2026
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8navigatehttps://andrew.ooo/answers/glm-5-2-vs-deepseek-v4-pro-vs-kimi-k2-7-open-weight-june-2026/
9navigatehttps://openrouter.ai/models
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23search"GLM-5.2" "vs" "DeepSeek" "Kimi" "Qwen" OpenRouter
24searchOpenRouter new models June 2026 GLM-5.2 DeepSeek V4 Kimi K2.7 Qwen 3.7
25navigatehttps://openrouter.ai/blog/insights/the-open-weight-models-that-matter-june-2026
26navigatehttps://andrew.ooo/answers/glm-5-2-vs-deepseek-v4-pro-vs-kimi-k2-7-open-weight-june-2026/
Shared by Proto Státis · Jun 30, 2026
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