Doubao 1.5 Pro Turbo vs GLM-4.6 Chat: which model should you choose?
We compared Doubao 1.5 Pro Turbo and GLM-4.6 Chat on price, context window and 12 benchmarks. GLM-4.6 Chat has the stronger average benchmark score; GLM-4.6 Chat is cheaper on a blended 3:1 basis.
Doubao 1.5 Pro Turbo
Doubao 1.5 Pro Turbo is a multimodal model from ByteDance. It offers a 128,000-token context window, costs $13.81 per million input tokens and $71.10 per million output tokens, and averages 79.4 across the index's benchmark suite.
- Input
- $13.81 / 1M
- Output
- $71.10 / 1M
- Context
- 128,000
- Avg score
- 79.4
- Open weights
- No
GLM-4.6 Chat
GLM-4.6 Chat is a multimodal model from Zhipu AI. It offers a 400,000-token context window, costs $4.89 per million input tokens and $21.46 per million output tokens, and averages 79.8 across the index's benchmark suite.
- Input
- $4.89 / 1M
- Output
- $21.46 / 1M
- Context
- 400,000
- Avg score
- 79.8
- Open weights
- Yes
Specification comparison
| Spec | Doubao 1.5 Pro Turbo | GLM-4.6 Chat | Edge |
|---|---|---|---|
| Input price / 1M | $13.81 | $4.89 | B |
| Output price / 1M | $71.10 | $21.46 | B |
| Context window | 128,000 | 400,000 | B |
| Max output | 65,536 | 16,384 | A |
| Average score | 79.4 | 79.8 | B |
| Arena Elo | 1433.0 | 1437.7 | B |
| Open weights | No | Yes | B |
Benchmark comparison
Doubao 1.5 Pro Turbo wins 5, GLM-4.6 Chat wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Doubao 1.5 Pro Turbo | GLM-4.6 Chat | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 80.3 | 82.2 | 1.9 | GLM-4.6 Chat |
| GPQA Diamond | 75.4 | 72.8 | 2.6 | Doubao 1.5 Pro Turbo |
| SWE-bench Verified | 67.7 | 66.0 | 1.7 | Doubao 1.5 Pro Turbo |
| HumanEval | 85.0 | 86.3 | 1.3 | GLM-4.6 Chat |
| MATH-500 | 81.4 | 86.8 | 5.4 | GLM-4.6 Chat |
| AIME 2025 | 75.6 | 79.2 | 3.6 | GLM-4.6 Chat |
| LiveCodeBench | 72.3 | 69.6 | 2.7 | Doubao 1.5 Pro Turbo |
| IFEval | 88.9 | 87.8 | 1.1 | Doubao 1.5 Pro Turbo |
| TruthfulQA | 80.9 | 83.2 | 2.3 | GLM-4.6 Chat |
| HellaSwag | 88.2 | 89.9 | 1.7 | GLM-4.6 Chat |
| MMMU | 77.6 | 73.5 | 4.1 | Doubao 1.5 Pro Turbo |
| Arena Elo | 1433.0 | 1437.7 | 4.7 | GLM-4.6 Chat |
Price analysis
On a blended 3:1 input-to-output basis, Doubao 1.5 Pro Turbo costs about $28.13 per million tokens and GLM-4.6 Chat costs about $9.03. GLM-4.6 Chat is roughly 68% cheaper than Doubao 1.5 Pro Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
GLM-4.6 Chat has the larger context window at 400,000 tokens, compared with 128,000 for Doubao 1.5 Pro Turbo. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Doubao 1.5 Pro Turbo wins 5, GLM-4.6 Chat wins 7, and 0 are tied. On the index average, GLM-4.6 Chat leads Doubao 1.5 Pro Turbo by 0.4 points (79.8 versus 79.4).
The price picture favours GLM-4.6 Chat. The context picture favours GLM-4.6 Chat. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with GLM-4.6 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Doubao 1.5 Pro Turbo if
- You need the larger 65,536-token output limit.
Choose GLM-4.6 Chat if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
- You need the larger 400,000-token context window.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Doubao 1.5 Pro Turbo better than GLM-4.6 Chat?
On the index average, GLM-4.6 Chat leads Doubao 1.5 Pro Turbo by 0.4 points (79.8 versus 79.4). The better choice depends on price, context and your task. Doubao 1.5 Pro Turbo wins 5 benchmarks, GLM-4.6 Chat wins 7.
Which is cheaper, Doubao 1.5 Pro Turbo or GLM-4.6 Chat?
GLM-4.6 Chat is cheaper on a blended 3:1 basis at about $9.03 per million tokens, versus $28.13 for Doubao 1.5 Pro Turbo.
Which has the larger context window?
GLM-4.6 Chat has the larger context window at 400,000 tokens. Doubao 1.5 Pro Turbo has 128,000 tokens.
Are these models open weights?
Doubao 1.5 Pro Turbo is proprietary; GLM-4.6 Chat is open weights.
Which should I choose for production?
If you need a single default, start with GLM-4.6 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.