open-source
Deepseek V3.2 vs Gemini 2.5 Pro
Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.
Specifications
| Feature | Deepseek V3.2 | Gemini 2.5 Pro |
|---|---|---|
| Provider | deepseek | vertex ai-language-models |
| Model ID | deepseek/deepseek-v3.2 | gemini-2.5-pro |
| Input / 1M tokens | $0.28 (78% cheaper) | $1.25 |
| Output / 1M tokens | $0.40 (96% cheaper) | $10.00 |
| Cached input / 1M | — | $0.13 |
| Context window | 164kk tokens | 1049kk tokens |
| Max output | 164kk tokens | 66kk tokens |
| Vision | ⬜ | ✅ |
| Function calling | ✅ | ✅ |
| Prompt caching | ✅ | ✅ |
| Web search | ⬜ | ✅ |
| JSON schema | ⬜ | ✅ |
Monthly cost comparison
No cache discount applied — pure token costs at three usage scales.
| Scale | Deepseek V3.2 | Gemini 2.5 Pro | Winner |
|---|---|---|---|
| Small 1M in / 0.2M out | $0.36 | $3.25 | Deepseek V3.2 saves 89% |
| Medium 10M in / 2M out | $3.60 | $32.50 | Deepseek V3.2 saves 89% |
| Large 100M in / 20M out | $36.00 | $325 | Deepseek V3.2 saves 89% |
Category winners
Cheapest input
Deepseek V3.2
$0.28/M
· 78% less than the other
Cheapest output
Deepseek V3.2
$0.40/M
· 96% less than the other
Larger context
Gemini 2.5 Pro
1049kk tokens · 540% larger window
More features
Gemini 2.5 Pro
5 / 5 capabilities
Better for…
High-volume RAG & repeated context
$0.13/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Gemini 2.5 Pro
Short interactions & high-throughput APIs
$0.40/M output — 96% cheaper on output at scale
Deepseek V3.2
Long-document processing & large codebases
1049k context window vs 164k — 540% larger context
Gemini 2.5 Pro
Agentic workflows & tool use
Supports 5 of 5 tracked capabilities (vision, function calling, caching, web search, JSON schema)
Gemini 2.5 Pro
Deep-dive on each model
Pricing data sourced from LiteLLM and refreshed regularly. Always verify with each provider's official pricing page before making business decisions.