GLM-4 9B Chat vs Qwen2.5 7B: Benchmark Comparison
Detailed comparison of GLM-4 9B Chat and Qwen2.5 7B covering benchmarks, pricing, context window, and compliance.
Key Specifications
| Specification | GLM-4 9B Chat | Qwen2.5 7B |
|---|---|---|
| Vendor | other | alibaba |
| Version | glm-4-9b-chat | 2.5-7b |
| Release Date | 2024-06-05 | 2024-09-19 |
| Context Window | 131072 tokens | 131072 tokens |
| Input Modalities | text, image | text |
| Output Modalities | text | text |
| License | GLM-4 License | Qwen License |
| SOC2 | ✗ | ✗ |
| HIPAA | ✗ | ✗ |
| GDPR | ✗ | ✗ |
| ISO 27001 | ✗ | ✗ |
Benchmark Results
| Benchmark | GLM-4 9B Chat | Qwen2.5 7B | Winner |
|---|---|---|---|
| ARC | 88.6 | 88.4 | GLM-4 9B Chat |
| BBH | 67.2 | 61.9 | GLM-4 9B Chat |
| GPQA | 37.2 | 28.5 | GLM-4 9B Chat |
| GSM8K | 58 | 63.7 | Qwen2.5 7B |
| HUMANEVAL | 62.9 | 66.5 | Qwen2.5 7B |
| IFEVAL | 59.9 | 55.4 | GLM-4 9B Chat |
| MATH | 26.6 | 41.9 | Qwen2.5 7B |
| MMLU | 70.7 | 73.6 | Qwen2.5 7B |
| MUSR | 49.5 | 46.9 | GLM-4 9B Chat |
| WINOGRANDE | 79.4 | 71.4 | GLM-4 9B Chat |
Pricing Comparison
| Tier (per Mtok) | GLM-4 9B Chat | Qwen2.5 7B |
|---|---|---|
| Input | $0.18 | $0.15 |
| Output | $0.18 | $0.15 |
| Cache Read | $0 | $0 |
| Cache Write | $0 | $0 |
GLM-4 9B Chat vs Qwen2.5 7B
Model Overview
GLM-4 9B Chat and Qwen2.5 7B are both notable options in the AI model market. This page compares their benchmarks, pricing, and compliance.
Key Specifications
| Vendor | Release Date | Context Window | License |
|---|---|---|---|
| Other / Alibaba | 2024-06-05 / 2024-09-19 | 131K / 131K | GLM-4 License / Qwen License |
Benchmark Performance
| Benchmark | GLM-4 9B Chat | Qwen2.5 7B | Winner |
|---|---|---|---|
| ARC | 88.6 | 88.4 | Tie |
| BBH (BIG-Bench Hard) | 67.2 | 61.9 | A |
| GPQA | 37.2 | 28.5 | A |
| GSM8K (Grade School Math 8K) | 58.0 | 63.7 | B |
| HumanEval | 62.9 | 66.5 | B |
| IFEval | 59.9 | 55.4 | A |
| MATH | 26.6 | 41.9 | B |
| MMLU (Massive Multitask Language Understanding) | 70.7 | 73.6 | B |
| MUSR | 49.5 | 46.9 | A |
| WinoGrande | 79.4 | 71.4 | A |
Pricing Comparison
| Input | Output | Cache Read | Cache Write |
|---|---|---|---|
| — / — | — / — | — / — | — / — |
per million tokens — A / B
Strengths & Weaknesses
GLM-4 9B Chat
- ✅ Input Modalities: text, image, audio.
- ⚠️ Proprietary, not self-hostable.
Qwen2.5 7B
- ✅ Reliable general-purpose model.
- ⚠️ Proprietary, not self-hostable.
Editor’s Take
GLM-4 9B Chat and Qwen2.5 7B each have their strengths. Choose based on workload (code, long context, vision), referencing the tables above.
FAQ
Which model is better for coding tasks?
Refer to the HumanEval benchmark table; the model with a higher score is better suited for coding tasks.
Which model is cheaper?
Refer to the pricing comparison table above; the model with lower input/output prices is more cost-effective.
Which has a longer context window?
Refer to the key specifications table; the model with a larger context window is better for long documents.
References
Editor's Take
See Editor's Take section.