Core Assessment
April 2026 is a “collective explosion month” for Chinese LLM vendors. From GLM 5.1’s impressive coding capabilities at the start of the month, to Xiaomi’s mimo v2.5 series going open-source mid-month, to DeepSeek V4’s trillion-parameter MoE architecture grand finale at month’s end, the capability gap between Chinese models has dramatically compressed within a single month. Latest LM Arena data shows ERNIE 5.1 Preview firmly holding the #1 position among Chinese models and #13 globally, DeepSeek V4 Pro at #23, and Xiaomi mimo-v2.5-pro at #22 — this marks the first time Chinese models have multiple products in the global top 25 simultaneously.
Key April Release Timeline
| Date | Model/Event | Key Features |
|---|---|---|
| Early April | Zhipu GLM 5.1 | Coding ability enters the entry-tier, perceptual evaluation ≈ Kimi K2.6 |
| Mid-April | Moonshot Kimi K2.6 open source | Open-sourcing a coding model sends shockwaves through the industry; outstanding multi-model agent capabilities |
| Late April | Xiaomi mimo v2.5 series | Open source + multilingual dialect ASR + token efficiency optimization |
| April 30 | DeepSeek V4 Pro limited 75% discount | Trillion-parameter MoE model API pricing hits a new low |
| May 1 | Moonshot announces Kimi K3 | 2.5 trillion parameters, Q3 release, directly targeting top international models |
| Ongoing | ERNIE 5.1 Preview | #1 among Chinese models, #13 globally on LM Arena |
Perceptual Evaluation Matrix
Cross-validated by multiple independent developers — not official benchmarks, but reflects real-world usage rankings:
| Tier | Model | Typical Scenario Performance |
|---|---|---|
| Above entry | GLM 5.1 ≈ Kimi K2.6 | Complex coding tasks, long-context reasoning |
| Above entry | DeepSeek V4 Pro | Best value large-parameter model |
| Below entry | Qwen 3.6 Max Preview | Well-rounded overall, but coding is slightly weaker |
| Below entry | mimo v2.5 Pro > Qwen 3.6 Plus | Strong performance in specific scenarios |
Interpreting the Landscape Shift
A “4+1” first tier is forming: GLM 5.1, Kimi K2.6, DeepSeek V4 Pro, and ERNIE 5.1 Preview — four models entering the same tier in coding and comprehensive capabilities, with Xiaomi mimo v2.5 Pro as a chaser. The “generational gap” between Chinese models is disappearing.
Diverging open-source strategies: Kimi K2.6 and Xiaomi mimo v2.5 choose the open-source route, while GLM 5.1 and ERNIE 5.1 remain primarily API/cloud-service focused. DeepSeek takes a “limited discount” approach with V4 Pro to attract developer trial.
K3’s ambition: Moonshot announces K3 while the buzz from K2.6’s open-source release is still fresh. A 2.5 trillion parameter scale signals a pivot away from the “small model efficiency” differentiation strategy — instead going head-to-head with international top models in a parameter race.
Action Recommendations
- Top choice for coding: GLM 5.1 or Kimi K2.6 — both rated in the entry tier by perceptual evaluation
- Best value option: DeepSeek V4 Pro’s limited 75% discount (through May 5 / May 31) is the lowest-cost window to experience a trillion-parameter MoE model
- Watch K3: After its Q3 release, the Chinese model landscape may be reshuffled again — consider staying on the sidelines for now
- Open-source ecosystem: Xiaomi mimo v2.5 series’ open-source strategy is worth watching, especially its token efficiency optimization which has reference value for edge deployment