Doubao 1.5 Pro Reasoning vs Kimi K1.5: which model should you choose?
We compared Doubao 1.5 Pro Reasoning and Kimi K1.5 on price, context window and 12 benchmarks. Doubao 1.5 Pro Reasoning has the stronger average benchmark score; Kimi K1.5 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
Kimi K1.5
Kimi K1.5 is a multimodal model from Moonshot AI. It offers a 128,000-token context window, costs $5.19 per million input tokens and $21.20 per million output tokens, and averages 80.7 across the index's benchmark suite.
- Input
- $5.19 / 1M
- Output
- $21.20 / 1M
- Context
- 128,000
- Avg score
- 80.7
- Open weights
- Yes
Specification comparison
| Spec | Doubao 1.5 Pro Reasoning | Kimi K1.5 | Edge |
|---|---|---|---|
| Input price / 1M | $14.56 | $5.19 | B |
| Output price / 1M | $58.10 | $21.20 | B |
| Context window | 128,000 | 128,000 | Tie |
| Max output | 16,384 | 4,096 | A |
| Average score | 81.6 | 80.7 | A |
| Arena Elo | 1439.2 | 1432.2 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Doubao 1.5 Pro Reasoning wins 9, Kimi K1.5 wins 3, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Doubao 1.5 Pro Reasoning | Kimi K1.5 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.8 | 82.7 | 0.9 | Kimi K1.5 |
| GPQA Diamond | 78.1 | 74.4 | 3.7 | Doubao 1.5 Pro Reasoning |
| SWE-bench Verified | 69.7 | 68.2 | 1.5 | Doubao 1.5 Pro Reasoning |
| HumanEval | 87.4 | 87.1 | 0.3 | Doubao 1.5 Pro Reasoning |
| MATH-500 | 85.1 | 85.3 | 0.2 | Kimi K1.5 |
| AIME 2025 | 81.4 | 80.8 | 0.6 | Doubao 1.5 Pro Reasoning |
| LiveCodeBench | 73.9 | 71.1 | 2.8 | Doubao 1.5 Pro Reasoning |
| IFEval | 88.7 | 87.9 | 0.8 | Doubao 1.5 Pro Reasoning |
| TruthfulQA | 82.3 | 84.7 | 2.4 | Kimi K1.5 |
| HellaSwag | 90.7 | 87.2 | 3.5 | Doubao 1.5 Pro Reasoning |
| MMMU | 78.1 | 77.8 | 0.3 | Doubao 1.5 Pro Reasoning |
| Arena Elo | 1439.2 | 1432.2 | 7.0 | 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 Kimi K1.5 costs about $9.19. Kimi K1.5 is roughly 64% 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.
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 Reasoning wins 9, Kimi K1.5 wins 3, and 0 are tied. On the index average, Doubao 1.5 Pro Reasoning leads Kimi K1.5 by 0.9 points (81.6 versus 80.7).
The price picture favours Kimi K1.5. 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 Reasoning for quality-sensitive work and Kimi K1.5 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 Reasoning if
- You want the higher average benchmark score in this index.
- You need the larger 16,384-token output limit.
- The workload needs multi-step reasoning.
Choose Kimi K1.5 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 Reasoning better than Kimi K1.5?
On the index average, Doubao 1.5 Pro Reasoning leads Kimi K1.5 by 0.9 points (81.6 versus 80.7). The better choice depends on price, context and your task. Doubao 1.5 Pro Reasoning wins 9 benchmarks, Kimi K1.5 wins 3.
Which is cheaper, Doubao 1.5 Pro Reasoning or Kimi K1.5?
Kimi K1.5 is cheaper on a blended 3:1 basis at about $9.19 per million tokens, versus $25.45 for Doubao 1.5 Pro Reasoning.
Which has the larger context window?
Both models list a 128,000-token context window.
Are these models open weights?
Doubao 1.5 Pro Reasoning is proprietary; Kimi K1.5 is open weights.
Which should I choose for production?
If you need a single default, start with Doubao 1.5 Pro Reasoning for quality-sensitive work and Kimi K1.5 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.