Doubao 1.5 Pro Reasoning vs Llama 4 Maverick Instruct: which model should you choose?
We compared Doubao 1.5 Pro Reasoning and Llama 4 Maverick Instruct on price, context window and 12 benchmarks. Llama 4 Maverick Instruct has the stronger average benchmark score; Llama 4 Maverick Instruct is cheaper on a blended 3:1 basis.
Doubao 1.5 Pro Reasoning
Doubao 1.5 Pro Reasoning is a multimodal model from ByteDance. It offers a 128,000-token context window, costs $14.56 per million input tokens and $58.10 per million output tokens, and averages 81.6 across the index's benchmark suite.
- Input
- $14.56 / 1M
- Output
- $58.10 / 1M
- Context
- 128,000
- Avg score
- 81.6
- Open weights
- No
Llama 4 Maverick Instruct
Llama 4 Maverick Instruct is a multimodal model from Meta AI. It offers a 200,000-token context window, costs $5.33 per million input tokens and $23.04 per million output tokens, and averages 81.7 across the index's benchmark suite.
- Input
- $5.33 / 1M
- Output
- $23.04 / 1M
- Context
- 200,000
- Avg score
- 81.7
- Open weights
- Yes
Specification comparison
| Spec | Doubao 1.5 Pro Reasoning | Llama 4 Maverick Instruct | Edge |
|---|---|---|---|
| Input price / 1M | $14.56 | $5.33 | B |
| Output price / 1M | $58.10 | $23.04 | B |
| Context window | 128,000 | 200,000 | B |
| Max output | 16,384 | 16,384 | Tie |
| Average score | 81.6 | 81.7 | B |
| Arena Elo | 1439.2 | 1438.5 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Doubao 1.5 Pro Reasoning wins 6, Llama 4 Maverick Instruct wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Doubao 1.5 Pro Reasoning | Llama 4 Maverick Instruct | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.8 | 84.6 | 2.8 | Llama 4 Maverick Instruct |
| GPQA Diamond | 78.1 | 79.5 | 1.4 | Llama 4 Maverick Instruct |
| SWE-bench Verified | 69.7 | 69.1 | 0.6 | Doubao 1.5 Pro Reasoning |
| HumanEval | 87.4 | 85.0 | 2.4 | Doubao 1.5 Pro Reasoning |
| MATH-500 | 85.1 | 83.4 | 1.7 | Doubao 1.5 Pro Reasoning |
| AIME 2025 | 81.4 | 79.9 | 1.5 | Doubao 1.5 Pro Reasoning |
| LiveCodeBench | 73.9 | 75.8 | 1.9 | Llama 4 Maverick Instruct |
| IFEval | 88.7 | 88.9 | 0.2 | Llama 4 Maverick Instruct |
| TruthfulQA | 82.3 | 84.0 | 1.7 | Llama 4 Maverick Instruct |
| HellaSwag | 90.7 | 89.6 | 1.1 | Doubao 1.5 Pro Reasoning |
| MMMU | 78.1 | 79.0 | 0.9 | Llama 4 Maverick Instruct |
| Arena Elo | 1439.2 | 1438.5 | 0.7 | Doubao 1.5 Pro Reasoning |
Price analysis
On a blended 3:1 input-to-output basis, Doubao 1.5 Pro Reasoning costs about $25.45 per million tokens and Llama 4 Maverick Instruct costs about $9.76. Llama 4 Maverick Instruct is roughly 62% cheaper than Doubao 1.5 Pro Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Llama 4 Maverick Instruct has the larger context window at 200,000 tokens, compared with 128,000 for Doubao 1.5 Pro Reasoning. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Doubao 1.5 Pro Reasoning wins 6, Llama 4 Maverick Instruct wins 6, and 0 are tied. On the index average, Llama 4 Maverick Instruct leads Doubao 1.5 Pro Reasoning by 0.1 points (81.7 versus 81.6).
The price picture favours Llama 4 Maverick Instruct. The context picture favours Llama 4 Maverick 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 Llama 4 Maverick Instruct for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Doubao 1.5 Pro Reasoning if
- The workload needs multi-step reasoning.
Choose Llama 4 Maverick Instruct 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 200,000-token context window.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Doubao 1.5 Pro Reasoning better than Llama 4 Maverick Instruct?
On the index average, Llama 4 Maverick Instruct leads Doubao 1.5 Pro Reasoning by 0.1 points (81.7 versus 81.6). The better choice depends on price, context and your task. Doubao 1.5 Pro Reasoning wins 6 benchmarks, Llama 4 Maverick Instruct wins 6.
Which is cheaper, Doubao 1.5 Pro Reasoning or Llama 4 Maverick Instruct?
Llama 4 Maverick Instruct is cheaper on a blended 3:1 basis at about $9.76 per million tokens, versus $25.45 for Doubao 1.5 Pro Reasoning.
Which has the larger context window?
Llama 4 Maverick Instruct has the larger context window at 200,000 tokens. Doubao 1.5 Pro Reasoning has 128,000 tokens.
Are these models open weights?
Doubao 1.5 Pro Reasoning is proprietary; Llama 4 Maverick Instruct is open weights.
Which should I choose for production?
If you need a single default, start with Llama 4 Maverick Instruct for quality-sensitive work, and check whether its price holds at your expected volume before committing.