DeepSeek-V3.2 vs Gemini 2.5 Pro Max: which model should you choose?
We compared DeepSeek-V3.2 and Gemini 2.5 Pro Max on price, context window and 12 benchmarks. Gemini 2.5 Pro Max has the stronger average benchmark score; DeepSeek-V3.2 is cheaper on a blended 3:1 basis.
DeepSeek-V3.2
DeepSeek-V3.2 is a frontier model from DeepSeek. It offers a 1,000,000-token context window, costs $5.88 per million input tokens and $24.70 per million output tokens, and averages 84.0 across the index's benchmark suite.
- Input
- $5.88 / 1M
- Output
- $24.70 / 1M
- Context
- 1,000,000
- Avg score
- 84.0
- Open weights
- Yes
Gemini 2.5 Pro Max
Gemini 2.5 Pro Max is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $16.94 per million input tokens and $64.80 per million output tokens, and averages 84.8 across the index's benchmark suite.
- Input
- $16.94 / 1M
- Output
- $64.80 / 1M
- Context
- 200,000
- Avg score
- 84.8
- Open weights
- No
Specification comparison
| Spec | DeepSeek-V3.2 | Gemini 2.5 Pro Max | Edge |
|---|---|---|---|
| Input price / 1M | $5.88 | $16.94 | A |
| Output price / 1M | $24.70 | $64.80 | A |
| Context window | 1,000,000 | 200,000 | A |
| Max output | 8,192 | 65,536 | B |
| Average score | 84.0 | 84.8 | B |
| Arena Elo | 1455.6 | 1450.2 | A |
| Open weights | Yes | No | A |
Benchmark comparison
DeepSeek-V3.2 wins 5, Gemini 2.5 Pro Max wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | DeepSeek-V3.2 | Gemini 2.5 Pro Max | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 86.9 | 86.7 | 0.2 | DeepSeek-V3.2 |
| GPQA Diamond | 79.7 | 79.8 | 0.1 | Gemini 2.5 Pro Max |
| SWE-bench Verified | 74.4 | 75.5 | 1.1 | Gemini 2.5 Pro Max |
| HumanEval | 89.7 | 87.0 | 2.7 | DeepSeek-V3.2 |
| MATH-500 | 89.7 | 91.6 | 1.9 | Gemini 2.5 Pro Max |
| AIME 2025 | 79.6 | 82.6 | 3.0 | Gemini 2.5 Pro Max |
| LiveCodeBench | 80.4 | 79.9 | 0.5 | DeepSeek-V3.2 |
| IFEval | 89.4 | 91.3 | 1.9 | Gemini 2.5 Pro Max |
| TruthfulQA | 84.5 | 85.5 | 1.0 | Gemini 2.5 Pro Max |
| HellaSwag | 90.2 | 92.9 | 2.7 | Gemini 2.5 Pro Max |
| MMMU | 79.9 | 79.7 | 0.2 | DeepSeek-V3.2 |
| Arena Elo | 1455.6 | 1450.2 | 5.4 | DeepSeek-V3.2 |
Price analysis
On a blended 3:1 input-to-output basis, DeepSeek-V3.2 costs about $10.59 per million tokens and Gemini 2.5 Pro Max costs about $28.91. DeepSeek-V3.2 is roughly 63% cheaper than Gemini 2.5 Pro Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
DeepSeek-V3.2 has the larger context window at 1,000,000 tokens, compared with 200,000 for Gemini 2.5 Pro Max. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, DeepSeek-V3.2 wins 5, Gemini 2.5 Pro Max wins 7, and 0 are tied. On the index average, Gemini 2.5 Pro Max leads DeepSeek-V3.2 by 0.8 points (84.8 versus 84.0).
The price picture favours DeepSeek-V3.2. The context picture favours DeepSeek-V3.2. 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 Max for quality-sensitive work and DeepSeek-V3.2 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose DeepSeek-V3.2 if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 1,000,000-token context window.
- You need open weights for self-hosting or fine-tuning.
Choose Gemini 2.5 Pro Max if
- You want the higher average benchmark score in this index.
- You need the larger 65,536-token output limit.
FAQ
Is DeepSeek-V3.2 better than Gemini 2.5 Pro Max?
On the index average, Gemini 2.5 Pro Max leads DeepSeek-V3.2 by 0.8 points (84.8 versus 84.0). The better choice depends on price, context and your task. DeepSeek-V3.2 wins 5 benchmarks, Gemini 2.5 Pro Max wins 7.
Which is cheaper, DeepSeek-V3.2 or Gemini 2.5 Pro Max?
DeepSeek-V3.2 is cheaper on a blended 3:1 basis at about $10.59 per million tokens, versus $28.91 for Gemini 2.5 Pro Max.
Which has the larger context window?
DeepSeek-V3.2 has the larger context window at 1,000,000 tokens. Gemini 2.5 Pro Max has 200,000 tokens.
Are these models open weights?
DeepSeek-V3.2 is open weights; Gemini 2.5 Pro Max is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 2.5 Pro Max for quality-sensitive work and DeepSeek-V3.2 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.