Doubao 1.5 Pro Max vs Llama 4 Maverick: which model should you choose?
We compared Doubao 1.5 Pro Max and Llama 4 Maverick on price, context window and 12 benchmarks. Llama 4 Maverick has the stronger average benchmark score; Llama 4 Maverick is cheaper on a blended 3:1 basis.
Doubao 1.5 Pro Max
Doubao 1.5 Pro Max is a multimodal model from ByteDance. It offers a 400,000-token context window, costs $14.93 per million input tokens and $73.69 per million output tokens, and averages 81.2 across the index's benchmark suite.
- Input
- $14.93 / 1M
- Output
- $73.69 / 1M
- Context
- 400,000
- Avg score
- 81.2
- Open weights
- No
Llama 4 Maverick
Llama 4 Maverick is a multimodal model from Meta AI. It offers a 200,000-token context window, costs $5.36 per million input tokens and $25.19 per million output tokens, and averages 81.6 across the index's benchmark suite.
- Input
- $5.36 / 1M
- Output
- $25.19 / 1M
- Context
- 200,000
- Avg score
- 81.6
- Open weights
- Yes
Specification comparison
| Spec | Doubao 1.5 Pro Max | Llama 4 Maverick | Edge |
|---|---|---|---|
| Input price / 1M | $14.93 | $5.36 | B |
| Output price / 1M | $73.69 | $25.19 | B |
| Context window | 400,000 | 200,000 | A |
| Max output | 4,096 | 8,192 | B |
| Average score | 81.2 | 81.6 | B |
| Arena Elo | 1447.5 | 1447.0 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Doubao 1.5 Pro Max wins 5, Llama 4 Maverick wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Doubao 1.5 Pro Max | Llama 4 Maverick | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.1 | 84.7 | 3.6 | Llama 4 Maverick |
| GPQA Diamond | 76.1 | 76.8 | 0.7 | Llama 4 Maverick |
| SWE-bench Verified | 70.7 | 71.8 | 1.1 | Llama 4 Maverick |
| HumanEval | 84.0 | 87.3 | 3.3 | Llama 4 Maverick |
| MATH-500 | 85.3 | 82.7 | 2.6 | Doubao 1.5 Pro Max |
| AIME 2025 | 80.4 | 79.6 | 0.8 | Doubao 1.5 Pro Max |
| LiveCodeBench | 73.5 | 75.7 | 2.2 | Llama 4 Maverick |
| IFEval | 90.2 | 87.5 | 2.7 | Doubao 1.5 Pro Max |
| TruthfulQA | 84.4 | 82.6 | 1.8 | Doubao 1.5 Pro Max |
| HellaSwag | 87.8 | 88.2 | 0.4 | Llama 4 Maverick |
| MMMU | 79.3 | 80.4 | 1.1 | Llama 4 Maverick |
| Arena Elo | 1447.5 | 1447.0 | 0.5 | Doubao 1.5 Pro Max |
Price analysis
On a blended 3:1 input-to-output basis, Doubao 1.5 Pro Max costs about $29.62 per million tokens and Llama 4 Maverick costs about $10.32. Llama 4 Maverick is roughly 65% cheaper than Doubao 1.5 Pro Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Doubao 1.5 Pro Max has the larger context window at 400,000 tokens, compared with 200,000 for Llama 4 Maverick. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Doubao 1.5 Pro Max wins 5, Llama 4 Maverick wins 7, and 0 are tied. On the index average, Llama 4 Maverick leads Doubao 1.5 Pro Max by 0.4 points (81.6 versus 81.2).
The price picture favours Llama 4 Maverick. The context picture favours Doubao 1.5 Pro Max. 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 Llama 4 Maverick for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Doubao 1.5 Pro Max if
- You need the larger 400,000-token context window.
Choose Llama 4 Maverick 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 8,192-token output limit.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Doubao 1.5 Pro Max better than Llama 4 Maverick?
On the index average, Llama 4 Maverick leads Doubao 1.5 Pro Max by 0.4 points (81.6 versus 81.2). The better choice depends on price, context and your task. Doubao 1.5 Pro Max wins 5 benchmarks, Llama 4 Maverick wins 7.
Which is cheaper, Doubao 1.5 Pro Max or Llama 4 Maverick?
Llama 4 Maverick is cheaper on a blended 3:1 basis at about $10.32 per million tokens, versus $29.62 for Doubao 1.5 Pro Max.
Which has the larger context window?
Doubao 1.5 Pro Max has the larger context window at 400,000 tokens. Llama 4 Maverick has 200,000 tokens.
Are these models open weights?
Doubao 1.5 Pro Max is proprietary; Llama 4 Maverick is open weights.
Which should I choose for production?
If you need a single default, start with Llama 4 Maverick for quality-sensitive work, and check whether its price holds at your expected volume before committing.