GLM-5.1 vs Qwen3 235B A22B: Specs & Benchmark Comparison
| Characteristic | GLM-5.1 | Qwen3 235B A22B |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | April 7, 2026 | April 28, 2025 |
| Parameters | 754B | 235B |
| Multimodal | No | No |
| Context (input) | 200K | 128K |
| Context (output) | 131K | 128K |
| Input Price / 1M | $1.40 | $0.20 |
| Output Price / 1M | $4.40 | $0.60 |
| Average Score | 0.9 | 0.9 |
Verdict
GLM-5.1 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5.1 — 0.9, Qwen3 235B A22B — 0.9.
API Cost
Qwen3 235B A22B is 7.3x cheaper: input $0.20/1M vs $1.40/1M tokens.
Context Window
GLM-5.1 supports a larger context: 200K vs 128K tokens.
Recency
GLM-5.1 is newer: released 4/7/2026 vs 4/28/2025.
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Frequently Asked Questions
Which is better for coding — GLM-5.1 or Qwen3 235B A22B?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.1 or Qwen3 235B A22B?
Qwen3 235B A22B is cheaper for input: $0.20 per 1M tokens vs $1.40.
Which has a larger context window — GLM-5.1 or Qwen3 235B A22B?
GLM-5.1 supports a larger context: 200,000 tokens vs 128,000.
The GLM-5.1 and Qwen3 235B A22B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.1 or Qwen3 235B A22B page. See also the complete list of AI model comparisons.