DeepSeek V4 vs GLM-5.2 vs Kimi K3: Which to Deploy
The Short Answer
Three Chinese labs hold the open-weight frontier in July 2026, and they optimize for different things:
- GLM-5.2 (Zhipu/Z.ai) — best deployable model. 744B, MIT license, self-hostable today, tops the open-weights Intelligence Index (~51), cheapest to serve yourself.
- DeepSeek V4 Pro (DeepSeek) — cheapest API. $0.435/$0.87 off-peak, leads raw SWE-bench Verified and competitive coding.
- Kimi K3 (Moonshot AI) — highest ceiling. 2.8T, Artificial Analysis Index ~57, leads the Frontend Code Arena — but $3/$15 API and a multi-node cluster to self-host.
If you’re choosing one to actually deploy: GLM-5.2. It’s the only one of the three that self-hosts on realistic hardware while still being frontier-competitive.
The Comparison Table (July 2026)
| DeepSeek V4 Pro | GLM-5.2 | Kimi K3 | |
|---|---|---|---|
| Developer | DeepSeek | Zhipu / Z.ai | Moonshot AI |
| Total params | 1.6T (49B active) | 744B | 2.8T |
| Context | 1M | 1M | 1M |
| License | Open weights | MIT | Modified MIT |
| Weights available | Yes | Yes (today) | July 27, 2026 |
| API input $/MTok | $0.435 (off-peak) | $1.40 | $3.00 |
| API output $/MTok | $0.87 (off-peak) | $4.40 | $15.00 |
| AA Intelligence Index | ~mid | ~51 (top open) | ~57 |
| Coding strength | SWE-bench / competitive | Agentic / long-context | Frontend Code Arena |
| Self-host difficulty | Very high (data-center) | Moderate | Very high (multi-node) |
DeepSeek V4 Pro pricing doubles during peak hours (1-4 and 6-10 UTC). Cache-hit input drops to ~$0.043.
Where Each One Wins
DeepSeek V4 Pro — the cost floor. At $0.435/$0.87 off-peak it anchors the entire market’s pricing floor. It leads raw SWE-bench Verified, LiveCodeBench (~93.5%), and Codeforces (~3206). If your workload is competitive coding or high-volume agent loops and you can schedule around peak hours, nothing beats its cost-per-task. The catch: peak/valley surge pricing (2x during CN business hours) and the deepseek-chat/deepseek-reasoner legacy names were retired July 24, 2026 — migrate to deepseek-v4-pro / deepseek-v4-flash.
GLM-5.2 — the deployable king. 744B with an actual MIT license makes it the model you can self-host, fine-tune, and ship commercially without lawyer meetings. It tops the open-weights Intelligence Index and is faster than both rivals at serving time. At $1.40/$4.40 it’s ~1/3 the output cost of Kimi K3. This is the default recommendation for teams that want open weights they can run.
Kimi K3 — the capability ceiling. The Artificial Analysis Index ~57 and Frontend Code Arena lead (ahead of Claude Fable 5) make it the strongest open model on raw capability. But $3/$15 API pricing is 5-17x GLM-5.2’s output rate, and self-hosting the 2.8T weights (dropping July 27) needs a ~16x H100 cluster. Choose K3 when you need the highest open-weight quality and are paying API rates anyway.
How to Choose
- Want to self-host on real hardware? → GLM-5.2
- Cheapest API, can schedule around peak hours? → DeepSeek V4 Pro
- Highest open-weight quality, API budget? → Kimi K3
- Competitive/algorithmic coding? → DeepSeek V4 Pro
- Frontend/agentic coding at the top end? → Kimi K3
- Long-context knowledge work, commercial license clarity? → GLM-5.2 (MIT)
Sources
- Kimi K3 vs DeepSeek V4 Pro vs GLM-5.2 (MarkTechPost, July 18, 2026): marktechpost.com
- Best open-source coding model 2026 (Morph): morphllm.com/best-open-source-coding-model-2026
- DeepSeek V4 Pro pricing (OpenRouter): openrouter.ai/deepseek/deepseek-v4-pro
- GLM 5.2 pricing (OpenRouter / Z.ai): openrouter.ai/z-ai/glm-5.2