Model comparison
GLM-4.5 vs Qwen3
- Input
- $0.60
- Output
- $2.20
- Context
- 128K
- Released
- 2025-07-28
- Input
- $0.455 / 1M tokens
- Output
- $1.82 / 1M tokens
- Context
- 32K (131K with YaRN)
- Released
- 2025-04-28
GLM-4.5 scores higher on 2 of the 2 benchmarks both models report; Qwen3 is cheaper on input tokens ($0.5 vs $0.6 per 1M, 1.3×); GLM-4.5 has the larger context window (128K vs 32K).
Specs and pricing side by side
| Spec | GLM-4.5 | Qwen3 |
|---|---|---|
| Maker | Z.ai (Zhipu / GLM) | Alibaba (Qwen) |
| Released | 2025-07-28 | 2025-04-28 |
| Context window | 128K | 32K (131K with YaRN) |
| Max output | 96K | 32,768 tokens (38,912 for hard reasoning) |
| Input price | $0.60 | $0.455 / 1M tokens |
| Output price | $2.20 | $1.82 / 1M tokens |
| Parameters | 355B total / 32B active (MoE) | 235B total / 22B active (MoE flagship); dense 0.6B-32B and 30B-A3B MoE also released |
| License | MIT | Apache 2.0 |
| Weights | Open weights | Open weightssame |
| Modalities | Text | Textsame |
Not published by either maker: knowledge cutoff.
Benchmarks both models report
| Benchmark | GLM-4.5 | Qwen3 |
|---|---|---|
| MMLU-Pro | 84.6% | 68.18% |
| AIME 2024 | 91% | 85.7% |
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 GLM-4.5 if…
- You care about MMLU-Pro, AIME 2024 (it scores higher on 2 shared benchmarks).
- You need the longer context (128K vs 32K).
- Your use case is: autonomous and tool-using agents (function calling, web browsing, multi-step workflows).
Pick Qwen3 if…
- Cost matters: input tokens cost 1.3× less ($0.5 vs $0.6 per 1M).
- Your use case is: self-hosted or private-cloud assistants where open weights and Apache 2.0 licensing are required.
FAQ
Which is better, GLM-4.5 or Qwen3?
GLM-4.5 scores higher on 2 of the 2 benchmarks both models report; Qwen3 is cheaper on input tokens ($0.5 vs $0.6 per 1M, 1.3×); GLM-4.5 has the larger context window (128K vs 32K). 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?
GLM-4.5: $0.60 input, $2.20 output. Qwen3: $0.455 / 1M tokens input, $1.82 / 1M tokens output (list API prices as published by each maker).
What are the context windows of GLM-4.5 and Qwen3?
GLM-4.5 offers 128K with up to 96K output; Qwen3 offers 32K (131K with YaRN) with up to 32,768 tokens (38,912 for hard reasoning) output.
Is GLM-4.5 newer than Qwen3?
GLM-4.5 was released 2025-07-28; Qwen3 was released 2025-04-28.