DeepSeek R1 is 56% 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 R1 costs $0.55/1M in and $2.19/1M out.
Gemini 1.5 Pro vs DeepSeek R1
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between Google and DeepSeek.
| Metric / Feature | Gemini 1.5 Pro (Google) | DeepSeek R1 (DeepSeek) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $1.25 | $0.55 |
| Output Price ($ / 1M Tokens) | $5.00 | $2.19 |
| Prompt Caching Input Rate | $0.312/1M | $0.140/1M |
| Blended 3:1 Rate (Production) | $2.188 / 1M | $0.960 / 1M |
| Max Context Window | 128k | 131k |
| Multimodal Vision | ✅ Supported | ❌ Text Only |
| MMLU Benchmark | 85.9% | 90.8% |
| Throughput & Latency | Standard (~35 t/s) | Reasoning (~40 t/s) |
| Best For | Massive codebase analysis, hours of video comprehension, full book translation | Math proofs, complex algorithmic coding, autonomous agent reasoning |
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 R1
Choose DeepSeek R1 if your primary objective is math proofs, complex algorithmic coding, autonomous agent reasoning. Ideal for scaling high-throughput pipelines with DeepSeek.
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