Gemini 1.5 Pro vs DeepSeek V3 / V2.5
Compare Gemini 1.5 Pro vs DeepSeek V3 / V2.5 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Full Metric & Specification Comparison
| Metric | Gemini 1.5 Pro | DeepSeek V3 / V2.5 | Advantage |
|---|---|---|---|
| Provider | DeepSeek | - | |
| Input Token Cost (1M) | $1.250 | $0.140 | DeepSeek V3 / V2.5 |
| Output Token Cost (1M) | $5.000 | $0.280 | DeepSeek V3 / V2.5 |
| Context Window | 2,000k tokens | 128k tokens | Gemini 1.5 Pro |
| Intelligence Benchmark Score | 90/100 | 89/100 | Gemini 1.5 Pro |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: Gemini 1.5 Pro is $1.25/1M vs DeepSeek V3 / V2.5 at $0.14/1M
- Output Token Cost: Gemini 1.5 Pro is $5.00/1M vs DeepSeek V3 / V2.5 at $0.28/1M
- Context Window: Gemini 1.5 Pro supports 2,000k tokens vs DeepSeek V3 / V2.5 with 128k tokens
- Benchmark Intelligence Rating: Gemini 1.5 Pro scores 90/100 vs DeepSeek V3 / V2.5 at 89/100
- Inference Latency: Gemini 1.5 Pro is rated Fast vs DeepSeek V3 / V2.5 rated Fast
Simulate Your Team's Actual Spend
Quick Workload Presets
Pick a ready-made scenario or customize your token volume below.
Token & Usage Parameters
By switching or routing background tasks from GPT-4o to Gemini 1.5 Flash, your team saves up to $2,270 annually.
Lowest cost per token, high-frequency tasks, real-time audio/video
State-of-the-art open economics, high-performance general intelligence
High-volume text processing, fast chatbots, classification
Open-weights privacy, self-hosting or ultra-cheap hosted inferencing
Rapid code completion, customer service, structured data extraction
Fast STEM reasoning, competitive programming at lower cost
Massive context (2M tokens), full video/audio analysis, large codebases
Multilingual tasks, European compliance, enterprise code generation
Complex multimodal reasoning, coding, and production apps
Software engineering, nuanced writing, complex agentic workflows
Advanced mathematics, algorithmic coding, PhD-level scientific logic
Frequently Asked Questions
Is Gemini 1.5 Pro cheaper than DeepSeek V3 / V2.5?
DeepSeek V3 / V2.5 is significantly more economical, charging $0.14/1M input compared to $1.25/1M for Gemini 1.5 Pro.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose DeepSeek V3 / V2.5. If you require peak reasoning accuracy and complex tool use, Gemini 1.5 Pro is recommended.
How does context window compare between Gemini 1.5 Pro and DeepSeek V3 / V2.5?
Gemini 1.5 Pro offers the larger context window (2,000k tokens), allowing you to pass significantly larger codebases or documents without chunking.