GLM-4.6 Instruct vs Sonar Pro Max: which model should you choose?
We compared GLM-4.6 Instruct and Sonar Pro Max on price, context window and 12 benchmarks. Sonar Pro Max has the stronger average benchmark score; GLM-4.6 Instruct is cheaper on a blended 3:1 basis.
GLM-4.6 Instruct
GLM-4.6 Instruct is a multimodal model from Zhipu AI. It offers a 1,000,000-token context window, costs $5.15 per million input tokens and $24.32 per million output tokens, and averages 80.4 across the index's benchmark suite.
- Input
- $5.15 / 1M
- Output
- $24.32 / 1M
- Context
- 1,000,000
- Avg score
- 80.4
- Open weights
- Yes
Sonar Pro Max
Sonar Pro Max is a multimodal model from Perplexity. It offers a 128,000-token context window, costs $14.01 per million input tokens and $69.33 per million output tokens, and averages 81.1 across the index's benchmark suite.
- Input
- $14.01 / 1M
- Output
- $69.33 / 1M
- Context
- 128,000
- Avg score
- 81.1
- Open weights
- No
Specification comparison
| Spec | GLM-4.6 Instruct | Sonar Pro Max | Edge |
|---|---|---|---|
| Input price / 1M | $5.15 | $14.01 | A |
| Output price / 1M | $24.32 | $69.33 | A |
| Context window | 1,000,000 | 128,000 | A |
| Max output | 128,000 | 4,096 | A |
| Average score | 80.4 | 81.1 | B |
| Arena Elo | 1426.6 | 1437.8 | B |
| Open weights | Yes | No | A |
Benchmark comparison
GLM-4.6 Instruct wins 4, Sonar Pro Max wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | GLM-4.6 Instruct | Sonar Pro Max | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 80.6 | 83.7 | 3.1 | Sonar Pro Max |
| GPQA Diamond | 75.8 | 78.8 | 3.0 | Sonar Pro Max |
| SWE-bench Verified | 70.5 | 71.7 | 1.2 | Sonar Pro Max |
| HumanEval | 85.3 | 85.1 | 0.2 | GLM-4.6 Instruct |
| MATH-500 | 84.9 | 86.2 | 1.3 | Sonar Pro Max |
| AIME 2025 | 74.5 | 74.9 | 0.4 | Sonar Pro Max |
| LiveCodeBench | 72.6 | 75.7 | 3.1 | Sonar Pro Max |
| IFEval | 87.4 | 88.3 | 0.9 | Sonar Pro Max |
| TruthfulQA | 83.8 | 82.0 | 1.8 | GLM-4.6 Instruct |
| HellaSwag | 90.6 | 88.0 | 2.6 | GLM-4.6 Instruct |
| MMMU | 78.9 | 77.2 | 1.7 | GLM-4.6 Instruct |
| Arena Elo | 1426.6 | 1437.8 | 11.2 | Sonar Pro Max |
Price analysis
On a blended 3:1 input-to-output basis, GLM-4.6 Instruct costs about $9.94 per million tokens and Sonar Pro Max costs about $27.84. GLM-4.6 Instruct is roughly 64% cheaper than Sonar Pro Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
GLM-4.6 Instruct has the larger context window at 1,000,000 tokens, compared with 128,000 for Sonar Pro Max. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, GLM-4.6 Instruct wins 4, Sonar Pro Max wins 8, and 0 are tied. On the index average, Sonar Pro Max leads GLM-4.6 Instruct by 0.7 points (81.1 versus 80.4).
The price picture favours GLM-4.6 Instruct. The context picture favours GLM-4.6 Instruct. 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 Sonar Pro Max for quality-sensitive work and GLM-4.6 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose GLM-4.6 Instruct if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 1,000,000-token context window.
- You need the larger 128,000-token output limit.
- You need open weights for self-hosting or fine-tuning.
Choose Sonar Pro Max if
- You want the higher average benchmark score in this index.
FAQ
Is GLM-4.6 Instruct better than Sonar Pro Max?
On the index average, Sonar Pro Max leads GLM-4.6 Instruct by 0.7 points (81.1 versus 80.4). The better choice depends on price, context and your task. GLM-4.6 Instruct wins 4 benchmarks, Sonar Pro Max wins 8.
Which is cheaper, GLM-4.6 Instruct or Sonar Pro Max?
GLM-4.6 Instruct is cheaper on a blended 3:1 basis at about $9.94 per million tokens, versus $27.84 for Sonar Pro Max.
Which has the larger context window?
GLM-4.6 Instruct has the larger context window at 1,000,000 tokens. Sonar Pro Max has 128,000 tokens.
Are these models open weights?
GLM-4.6 Instruct is open weights; Sonar Pro Max is proprietary.
Which should I choose for production?
If you need a single default, start with Sonar Pro Max for quality-sensitive work and GLM-4.6 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.