DeepSeek V3.2 vs Gemini 2.5 Pro
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
DeepSeek · Sep 2025
The sparse-attention release that halved DeepSeek's already-lowest-in-class prices while keeping GPT-class quality.
Google · Mar 2025
Google's 2025 workhorse flagship — first mainstream thinking model with a 1M context, still widely deployed.
The verdict
Gemini 2.5 Pro wins 3 of the 5 benchmarks these models share, against 2 for DeepSeek V3.2. On price the gap is dramatic: DeepSeek V3.2 works out roughly 11x cheaper per blended million tokens. Gemini 2.5 Pro also takes 1.0M of context versus 128K for DeepSeek V3.2. And DeepSeek V3.2 is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Benchmark head-to-head 2–3
Specs & pricing
| DeepSeek V3.2 | Gemini 2.5 Pro | |
|---|---|---|
| modhub Index | 68.4 | 70.9 |
| Input price / 1M | $0.28 | $1.25 |
| Output price / 1M | $0.42 | $10 |
| Context window | 128K | 1.0M |
| Max output | 64K | 66K |
| Open weights | yes (MIT) | no |
| Reasoning model | yes | yes |
| Multimodal input | text | text, image, audio, video |
| Knowledge cutoff | Jul 2025 | Jan 2025 |
| Released | Sep 2025 | Mar 2025 |
| Example monthly cost* | $3.43 | $27.50 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, DeepSeek V3.2 or Gemini 2.5 Pro?
- Gemini 2.5 Pro wins 3 of the 5 benchmarks these models share, against 2 for DeepSeek V3.2. On price the gap is dramatic: DeepSeek V3.2 works out roughly 11x cheaper per blended million tokens. Gemini 2.5 Pro also takes 1.0M of context versus 128K for DeepSeek V3.2. And DeepSeek V3.2 is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
- Which is cheaper, DeepSeek V3.2 or Gemini 2.5 Pro?
- DeepSeek V3.2 costs $0.28/$0.42 per million input/output tokens, while Gemini 2.5 Pro costs $1.25/$10. For a typical workload of 10M input and 1.5M output tokens per month, that's $3.43 versus $27.50.
- Which model is better for coding, DeepSeek V3.2 or Gemini 2.5 Pro?
- On SWE-bench Verified — the standard agentic-coding benchmark — DeepSeek V3.2 scores 67.8% versus 63.8% for Gemini 2.5 Pro, making DeepSeek V3.2 the stronger pick for coding agents.