Doubao 1.5 Pro Pro vs Llama 4 Maverick Chat: which model should you choose?
We compared Doubao 1.5 Pro Pro and Llama 4 Maverick Chat on price, context window and 12 benchmarks. Doubao 1.5 Pro Pro has the stronger average benchmark score; Llama 4 Maverick Chat is cheaper on a blended 3:1 basis.
Doubao 1.5 Pro Pro
Doubao 1.5 Pro Pro is a multimodal model from ByteDance. It offers a 128,000-token context window, costs $14.10 per million input tokens and $54.74 per million output tokens, and averages 80.2 across the index's benchmark suite.
- Input
- $14.10 / 1M
- Output
- $54.74 / 1M
- Context
- 128,000
- Avg score
- 80.2
- Open weights
- No
Llama 4 Maverick Chat
Llama 4 Maverick Chat is a multimodal model from Meta AI. It offers a 128,000-token context window, costs $5.09 per million input tokens and $23.20 per million output tokens, and averages 79.7 across the index's benchmark suite.
- Input
- $5.09 / 1M
- Output
- $23.20 / 1M
- Context
- 128,000
- Avg score
- 79.7
- Open weights
- Yes
Specification comparison
| Spec | Doubao 1.5 Pro Pro | Llama 4 Maverick Chat | Edge |
|---|---|---|---|
| Input price / 1M | $14.10 | $5.09 | B |
| Output price / 1M | $54.74 | $23.20 | B |
| Context window | 128,000 | 128,000 | Tie |
| Max output | 8,192 | 32,768 | B |
| Average score | 80.2 | 79.7 | A |
| Arena Elo | 1443.4 | 1419.9 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Doubao 1.5 Pro Pro wins 8, Llama 4 Maverick Chat wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Doubao 1.5 Pro Pro | Llama 4 Maverick Chat | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 80.2 | 80.5 | 0.3 | Llama 4 Maverick Chat |
| GPQA Diamond | 74.5 | 73.0 | 1.5 | Doubao 1.5 Pro Pro |
| SWE-bench Verified | 71.2 | 66.6 | 4.6 | Doubao 1.5 Pro Pro |
| HumanEval | 84.4 | 83.2 | 1.2 | Doubao 1.5 Pro Pro |
| MATH-500 | 85.4 | 84.8 | 0.6 | Doubao 1.5 Pro Pro |
| AIME 2025 | 77.7 | 78.9 | 1.2 | Llama 4 Maverick Chat |
| LiveCodeBench | 71.6 | 76.3 | 4.7 | Llama 4 Maverick Chat |
| IFEval | 87.8 | 87.4 | 0.4 | Doubao 1.5 Pro Pro |
| TruthfulQA | 84.6 | 81.5 | 3.1 | Doubao 1.5 Pro Pro |
| HellaSwag | 87.2 | 88.8 | 1.6 | Llama 4 Maverick Chat |
| MMMU | 78.1 | 75.4 | 2.7 | Doubao 1.5 Pro Pro |
| Arena Elo | 1443.4 | 1419.9 | 23.5 | Doubao 1.5 Pro Pro |
Price analysis
On a blended 3:1 input-to-output basis, Doubao 1.5 Pro Pro costs about $24.26 per million tokens and Llama 4 Maverick Chat costs about $9.62. Llama 4 Maverick Chat is roughly 60% cheaper than Doubao 1.5 Pro Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 128,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Doubao 1.5 Pro Pro wins 8, Llama 4 Maverick Chat wins 4, and 0 are tied. On the index average, Doubao 1.5 Pro Pro leads Llama 4 Maverick Chat by 0.5 points (80.2 versus 79.7).
The price picture favours Llama 4 Maverick Chat. The context picture is effectively a tie. 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 Doubao 1.5 Pro Pro for quality-sensitive work and Llama 4 Maverick Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Doubao 1.5 Pro Pro if
- You want the higher average benchmark score in this index.
Choose Llama 4 Maverick Chat if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 32,768-token output limit.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Doubao 1.5 Pro Pro better than Llama 4 Maverick Chat?
On the index average, Doubao 1.5 Pro Pro leads Llama 4 Maverick Chat by 0.5 points (80.2 versus 79.7). The better choice depends on price, context and your task. Doubao 1.5 Pro Pro wins 8 benchmarks, Llama 4 Maverick Chat wins 4.
Which is cheaper, Doubao 1.5 Pro Pro or Llama 4 Maverick Chat?
Llama 4 Maverick Chat is cheaper on a blended 3:1 basis at about $9.62 per million tokens, versus $24.26 for Doubao 1.5 Pro Pro.
Which has the larger context window?
Both models list a 128,000-token context window.
Are these models open weights?
Doubao 1.5 Pro Pro is proprietary; Llama 4 Maverick Chat is open weights.
Which should I choose for production?
If you need a single default, start with Doubao 1.5 Pro Pro for quality-sensitive work and Llama 4 Maverick Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.