DeepSeek-V3.2 vs Grok 3 Pro: which model should you choose?
We compared DeepSeek-V3.2 and Grok 3 Pro on price, context window and 12 benchmarks. DeepSeek-V3.2 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
Grok 3 Pro
Grok 3 Pro is a frontier model from xAI. It offers a 400,000-token context window, costs $16.61 per million input tokens and $73.49 per million output tokens, and averages 83.8 across the index's benchmark suite.
- Input
- $16.61 / 1M
- Output
- $73.49 / 1M
- Context
- 400,000
- Avg score
- 83.8
- Open weights
- No
Specification comparison
| Spec | DeepSeek-V3.2 | Grok 3 Pro | Edge |
|---|---|---|---|
| Input price / 1M | $5.88 | $16.61 | A |
| Output price / 1M | $24.70 | $73.49 | A |
| Context window | 1,000,000 | 400,000 | A |
| Max output | 8,192 | 4,096 | A |
| Average score | 84.0 | 83.8 | A |
| Arena Elo | 1455.6 | 1448.4 | A |
| Open weights | Yes | No | A |
Benchmark comparison
DeepSeek-V3.2 wins 6, Grok 3 Pro wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | DeepSeek-V3.2 | Grok 3 Pro | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 86.9 | 83.5 | 3.4 | DeepSeek-V3.2 |
| GPQA Diamond | 79.7 | 81.3 | 1.6 | Grok 3 Pro |
| SWE-bench Verified | 74.4 | 71.4 | 3.0 | DeepSeek-V3.2 |
| HumanEval | 89.7 | 89.9 | 0.2 | Grok 3 Pro |
| MATH-500 | 89.7 | 87.0 | 2.7 | DeepSeek-V3.2 |
| AIME 2025 | 79.6 | 85.5 | 5.9 | Grok 3 Pro |
| LiveCodeBench | 80.4 | 80.7 | 0.3 | Grok 3 Pro |
| IFEval | 89.4 | 88.6 | 0.8 | DeepSeek-V3.2 |
| TruthfulQA | 84.5 | 84.6 | 0.1 | Grok 3 Pro |
| HellaSwag | 90.2 | 90.7 | 0.5 | Grok 3 Pro |
| MMMU | 79.9 | 78.9 | 1.0 | DeepSeek-V3.2 |
| Arena Elo | 1455.6 | 1448.4 | 7.2 | 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 Grok 3 Pro costs about $30.83. DeepSeek-V3.2 is roughly 66% cheaper than Grok 3 Pro. 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 400,000 for Grok 3 Pro. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, DeepSeek-V3.2 wins 6, Grok 3 Pro wins 6, and 0 are tied. On the index average, DeepSeek-V3.2 leads Grok 3 Pro by 0.2 points (84.0 versus 83.8).
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 DeepSeek-V3.2 for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose DeepSeek-V3.2 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 1,000,000-token context window.
- You need the larger 8,192-token output limit.
Choose Grok 3 Pro if
- You prefer xAI's tooling or already use it.
FAQ
Is DeepSeek-V3.2 better than Grok 3 Pro?
On the index average, DeepSeek-V3.2 leads Grok 3 Pro by 0.2 points (84.0 versus 83.8). The better choice depends on price, context and your task. DeepSeek-V3.2 wins 6 benchmarks, Grok 3 Pro wins 6.
Which is cheaper, DeepSeek-V3.2 or Grok 3 Pro?
DeepSeek-V3.2 is cheaper on a blended 3:1 basis at about $10.59 per million tokens, versus $30.83 for Grok 3 Pro.
Which has the larger context window?
DeepSeek-V3.2 has the larger context window at 1,000,000 tokens. Grok 3 Pro has 400,000 tokens.
Are these models open weights?
DeepSeek-V3.2 is open weights; Grok 3 Pro is proprietary.
Which should I choose for production?
If you need a single default, start with DeepSeek-V3.2 for quality-sensitive work, and check whether its price holds at your expected volume before committing.