Doubao 1.5 Pro Max vs Gemini 2.5 Pro: which model should you choose?
We compared Doubao 1.5 Pro Max and Gemini 2.5 Pro on price, context window and 12 benchmarks. Gemini 2.5 Pro has the stronger average benchmark score; Gemini 2.5 Pro 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
Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal model from Google DeepMind. It offers a 200,000-token context window, costs $15.20 per million input tokens and $57.83 per million output tokens, and averages 81.6 across the index's benchmark suite.
- Input
- $15.20 / 1M
- Output
- $57.83 / 1M
- Context
- 200,000
- Avg score
- 81.6
- Open weights
- No
Specification comparison
| Spec | Doubao 1.5 Pro Max | Gemini 2.5 Pro | Edge |
|---|---|---|---|
| Input price / 1M | $14.93 | $15.20 | A |
| Output price / 1M | $73.69 | $57.83 | B |
| Context window | 400,000 | 200,000 | A |
| Max output | 4,096 | 16,384 | B |
| Average score | 81.2 | 81.6 | B |
| Arena Elo | 1447.5 | 1455.0 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Doubao 1.5 Pro Max wins 4, Gemini 2.5 Pro wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Doubao 1.5 Pro Max | Gemini 2.5 Pro | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.1 | 83.6 | 2.5 | Gemini 2.5 Pro |
| GPQA Diamond | 76.1 | 76.5 | 0.4 | Gemini 2.5 Pro |
| SWE-bench Verified | 70.7 | 70.2 | 0.5 | Doubao 1.5 Pro Max |
| HumanEval | 84.0 | 87.7 | 3.7 | Gemini 2.5 Pro |
| MATH-500 | 85.3 | 86.8 | 1.5 | Gemini 2.5 Pro |
| AIME 2025 | 80.4 | 76.1 | 4.3 | Doubao 1.5 Pro Max |
| LiveCodeBench | 73.5 | 76.2 | 2.7 | Gemini 2.5 Pro |
| IFEval | 90.2 | 87.6 | 2.6 | Doubao 1.5 Pro Max |
| TruthfulQA | 84.4 | 82.8 | 1.6 | Doubao 1.5 Pro Max |
| HellaSwag | 87.8 | 89.7 | 1.9 | Gemini 2.5 Pro |
| MMMU | 79.3 | 80.5 | 1.2 | Gemini 2.5 Pro |
| Arena Elo | 1447.5 | 1455.0 | 7.5 | Gemini 2.5 Pro |
Price analysis
On a blended 3:1 input-to-output basis, Doubao 1.5 Pro Max costs about $29.62 per million tokens and Gemini 2.5 Pro costs about $25.86. Gemini 2.5 Pro is roughly 13% 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 Gemini 2.5 Pro. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Doubao 1.5 Pro Max wins 4, Gemini 2.5 Pro wins 8, and 0 are tied. On the index average, Gemini 2.5 Pro leads Doubao 1.5 Pro Max by 0.4 points (81.6 versus 81.2).
The price picture favours Gemini 2.5 Pro. 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 Gemini 2.5 Pro 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 Gemini 2.5 Pro 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 16,384-token output limit.
- The workload needs multi-step reasoning.
FAQ
Is Doubao 1.5 Pro Max better than Gemini 2.5 Pro?
On the index average, Gemini 2.5 Pro 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 4 benchmarks, Gemini 2.5 Pro wins 8.
Which is cheaper, Doubao 1.5 Pro Max or Gemini 2.5 Pro?
Gemini 2.5 Pro is cheaper on a blended 3:1 basis at about $25.86 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. Gemini 2.5 Pro has 200,000 tokens.
Are these models open weights?
Doubao 1.5 Pro Max is proprietary; Gemini 2.5 Pro is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 2.5 Pro for quality-sensitive work, and check whether its price holds at your expected volume before committing.