Doubao 1.5 Pro Pro vs MiniMax-M2 Instruct: which model should you choose?
We compared Doubao 1.5 Pro Pro and MiniMax-M2 Instruct on price, context window and 12 benchmarks. Doubao 1.5 Pro Pro has the stronger average benchmark score; MiniMax-M2 Instruct 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
MiniMax-M2 Instruct
MiniMax-M2 Instruct is a multimodal model from MiniMax. It offers a 128,000-token context window, costs $5.11 per million input tokens and $25.04 per million output tokens, and averages 79.4 across the index's benchmark suite.
- Input
- $5.11 / 1M
- Output
- $25.04 / 1M
- Context
- 128,000
- Avg score
- 79.4
- Open weights
- Yes
Specification comparison
| Spec | Doubao 1.5 Pro Pro | MiniMax-M2 Instruct | Edge |
|---|---|---|---|
| Input price / 1M | $14.10 | $5.11 | B |
| Output price / 1M | $54.74 | $25.04 | B |
| Context window | 128,000 | 128,000 | Tie |
| Max output | 8,192 | 4,096 | A |
| Average score | 80.2 | 79.4 | A |
| Arena Elo | 1443.4 | 1442.2 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Doubao 1.5 Pro Pro wins 8, MiniMax-M2 Instruct 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 | MiniMax-M2 Instruct | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 80.2 | 82.1 | 1.9 | MiniMax-M2 Instruct |
| GPQA Diamond | 74.5 | 73.7 | 0.8 | Doubao 1.5 Pro Pro |
| SWE-bench Verified | 71.2 | 69.9 | 1.3 | Doubao 1.5 Pro Pro |
| HumanEval | 84.4 | 86.7 | 2.3 | MiniMax-M2 Instruct |
| MATH-500 | 85.4 | 82.1 | 3.3 | Doubao 1.5 Pro Pro |
| AIME 2025 | 77.7 | 77.8 | 0.1 | MiniMax-M2 Instruct |
| LiveCodeBench | 71.6 | 71.1 | 0.5 | Doubao 1.5 Pro Pro |
| IFEval | 87.8 | 87.3 | 0.5 | Doubao 1.5 Pro Pro |
| TruthfulQA | 84.6 | 80.0 | 4.6 | Doubao 1.5 Pro Pro |
| HellaSwag | 87.2 | 88.5 | 1.3 | MiniMax-M2 Instruct |
| MMMU | 78.1 | 74.1 | 4.0 | Doubao 1.5 Pro Pro |
| Arena Elo | 1443.4 | 1442.2 | 1.2 | 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 MiniMax-M2 Instruct costs about $10.09. MiniMax-M2 Instruct is roughly 58% 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, MiniMax-M2 Instruct wins 4, and 0 are tied. On the index average, Doubao 1.5 Pro Pro leads MiniMax-M2 Instruct by 0.8 points (80.2 versus 79.4).
The price picture favours MiniMax-M2 Instruct. 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 MiniMax-M2 Instruct 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.
- You need the larger 8,192-token output limit.
Choose MiniMax-M2 Instruct if
- Unit cost matters and you want the cheaper blended price.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Doubao 1.5 Pro Pro better than MiniMax-M2 Instruct?
On the index average, Doubao 1.5 Pro Pro leads MiniMax-M2 Instruct by 0.8 points (80.2 versus 79.4). The better choice depends on price, context and your task. Doubao 1.5 Pro Pro wins 8 benchmarks, MiniMax-M2 Instruct wins 4.
Which is cheaper, Doubao 1.5 Pro Pro or MiniMax-M2 Instruct?
MiniMax-M2 Instruct is cheaper on a blended 3:1 basis at about $10.09 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; MiniMax-M2 Instruct 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 MiniMax-M2 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.