Real data comparison
DeepSeek: DeepSeek V4.1 Flash (batch) vs Z.ai: GLM 5.2
On quality, DeepSeek: DeepSeek V4.1 Flash (batch) leads (39.5 vs 33.7). On price, DeepSeek: DeepSeek V4.1 Flash (batch) is cheaper ($0.52 vs $1.14 per 1M). In real production usage, DeepSeek: DeepSeek V4.1 Flash (batch) is used more (rank #3 vs #12 of 373). Across 4 real task categories where both models have classified traffic, DeepSeek: DeepSeek V4.1 Flash (batch) handles more of the traffic in 4 of them.
- DeepSeek: DeepSeek V4.1 Flash (batch)
- Z.ai: GLM 5.2
Head-to-head by real task
DeepSeek: DeepSeek V4.1 Flash (batch) leads 4 of 4 shared task categories by real classified traffic share; Z.ai: GLM 5.2 leads 0. Not a benchmark score - this is what developers actually route to each model for, per OpenRouter's task classification.
| Task | DeepSeek: DeepSeek V4.1 Flash (batch) | Z.ai: GLM 5.2 |
|---|---|---|
| Repo Scanning | 28.2% | 2.0% |
| Debugging | 24.5% | 2.7% |
| Frontend & UI | 17.0% | 3.6% |
| Code Review | 17.0% | 8.5% |
Usage share over time
- DeepSeek: DeepSeek V4.1 Flash (batch)
- Z.ai: GLM 5.2
Frequently asked questions
DeepSeek: DeepSeek V4.1 Flash (batch) vs Z.ai: GLM 5.2: which is better quality?
DeepSeek: DeepSeek V4.1 Flash (batch) scores higher on Artificial Analysis's Intelligence Index (39.5 vs 33.7).
DeepSeek: DeepSeek V4.1 Flash (batch) vs Z.ai: GLM 5.2: which is cheaper?
DeepSeek: DeepSeek V4.1 Flash (batch) is cheaper at $0.52/1M vs $1.14/1M.
DeepSeek: DeepSeek V4.1 Flash (batch) vs Z.ai: GLM 5.2: which is used more?
DeepSeek: DeepSeek V4.1 Flash (batch) has higher real OpenRouter usage share (rank #3 vs #12 of 373).
DeepSeek: DeepSeek V4.1 Flash (batch) vs Z.ai: GLM 5.2: which wins more real-world task categories?
DeepSeek: DeepSeek V4.1 Flash (batch) handles more traffic in 4 of 4 shared task categories where both models have classified OpenRouter usage.
Source: OpenRouter (openrouter.ai/rankings), as of October 9, 2026.
Benchmark scores: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).
Methodology: www.smophy.ai/benchmark/methodology
Token counts originate from each provider's own tokenizer and are not directly comparable across providers.
