DeepSeek V3 is 92% cheaper than Gemini 1.5 Pro on blended 3:1 token pricing. Gemini 1.5 Pro costs $1.25/1M in and $5.00/1M out, while DeepSeek V3 costs $0.14/1M in and $0.28/1M out.
Gemini 1.5 Pro vs DeepSeek V3
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Google and DeepSeek.
| Metric / Feature | Gemini 1.5 Pro (Google) | DeepSeek V3 (DeepSeek) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $1.25 | $0.14 |
| Output Price ($ / 1M Tokens) | $5.00 | $0.28 |
| Prompt Caching Input Rate | $0.312/1M | $0.014/1M |
| Blended 3:1 Rate (Production) | $2.188 / 1M | $0.175 / 1M |
| Max Context Window | 128k | 131k |
| Multimodal Vision | ✅ Supported | ❌ Text Only |
| MMLU Benchmark | 85.9% | 88.5% |
| Throughput & Latency | Standard (~35 t/s) | Fast (~60 t/s) |
| Best For | Massive codebase analysis, hours of video comprehension, full book translation | General LLM routing, high-scale automation, cost reduction vs OpenAI |
When to Choose Gemini 1.5 Pro
Choose Gemini 1.5 Pro if your workload requires massive codebase analysis, hours of video comprehension, full book translation. Ideal for teams needing Google's infrastructure and ecosystem tooling.
When to Choose DeepSeek V3
Choose DeepSeek V3 if your primary objective is general llm routing, high-scale automation, cost reduction vs openai. Ideal for scaling high-throughput pipelines with DeepSeek.
Want to compare Gemini 1.5 Pro against another model?
Select another target model to view immediate pricing & latency trade-offs.