Model comparison
Qwen3.5-Plus vs GLM-5
- Input
- $0.40
- Output
- $2.40
- Context
- 1M
- Released
- 2026-02-16
- Input
- $1.00 / 1M tokens
- Output
- $3.20 / 1M tokens
- Context
- 200K
- Released
- 2026-02-11
GLM-5 scores higher on 2 of the 3 benchmarks both models report (the other leads on 1); Qwen3.5-Plus is cheaper on input tokens ($0.4 vs $1 per 1M, 2.5×); Qwen3.5-Plus has the larger context window (1M vs 200K); GLM-5 ships open weights while Qwen3.5-Plus is API-only.
Specs and pricing side by side
| Spec | Qwen3.5-Plus | GLM-5 |
|---|---|---|
| Maker | Alibaba (Qwen) | Z.ai (Zhipu / GLM) |
| Released | 2026-02-16 | 2026-02-11 |
| Context window | 1M | 200K |
| Max output | 65,536 tokens | 128K |
| Input price | $0.40 | $1.00 / 1M tokens |
| Output price | $2.40 | $3.20 / 1M tokens |
| Parameters | Undisclosed (serves the Qwen3.5 397B-A17B family — 397B total / 17B active) | 744B total / 40B active (MoE) |
| License | Proprietary | MIT |
| Weights | API only | Open weights |
| Modalities | Text, Vision, Video | Text |
Not published by either maker: knowledge cutoff.
Benchmarks both models report
| Benchmark | Qwen3.5-Plus | GLM-5 |
|---|---|---|
| AIME 2026 | 91.3% | 92.7% |
| GPQA Diamond | 88.4% | 86% |
| SWE-bench Verified | 76.4% | 77.8% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick Qwen3.5-Plus if…
- You care about GPQA Diamond (it scores higher on 1 shared benchmark).
- Cost matters: input tokens cost 2.5× less ($0.4 vs $1 per 1M).
- You need the longer context (1M vs 200K).
- You need Vision / Video input, which GLM-5 lacks.
- Your use case is: high-volume document and PDF understanding across very long contexts.
Pick GLM-5 if…
- You care about AIME 2026, SWE-bench Verified (it scores higher on 2 shared benchmarks).
- You want to self-host or fine-tune (open weights, MIT).
- Your use case is: autonomous coding agents that plan, edit across many files, run tests and iterate on fixes.
FAQ
Which is better, Qwen3.5-Plus or GLM-5?
GLM-5 scores higher on 2 of the 3 benchmarks both models report (the other leads on 1); Qwen3.5-Plus is cheaper on input tokens ($0.4 vs $1 per 1M, 2.5×); Qwen3.5-Plus has the larger context window (1M vs 200K); GLM-5 ships open weights while Qwen3.5-Plus is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How much cheaper is Qwen3.5-Plus?
Qwen3.5-Plus: $0.40 input, $2.40 output. GLM-5: $1.00 / 1M tokens input, $3.20 / 1M tokens output (list API prices as published by each maker).
What are the context windows of Qwen3.5-Plus and GLM-5?
Qwen3.5-Plus offers 1M with up to 65,536 tokens output; GLM-5 offers 200K with up to 128K output.
Is Qwen3.5-Plus newer than GLM-5?
Qwen3.5-Plus was released 2026-02-16; GLM-5 was released 2026-02-11.