DeepSeek V4 Pro vs Gemini 3.5 Flash-Lite
Pricing verdict: DeepSeek V4 Pro vs Gemini 3.5 Flash-Lite: Gemini 3.5 Flash-Lite is cheaper for input-heavy usage ($0.30/M vs $0.435/M input tokens), while DeepSeek V4 Pro is better for long-context tasks (1,000,000 tokens).
Direct answer: choose Gemini 3.5 Flash-Lite for lower token spend and choose DeepSeek V4 Pro when your workload needs longer context.
Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
DeepSeek V4 Pro
Gemini 3.5 Flash-Lite
Cost Differences
Gemini 3.5 Flash-Lite costs more than DeepSeek V4 Pro
Quick Recommendation
Winner for direct API pricing: DeepSeek V4 Pro. At the default workload, DeepSeek V4 Pro saves about $2.04/month ($24.82/year) versus Gemini 3.5 Flash-Lite.
Feature Comparison
| Feature | DeepSeek V4 Pro | Gemini 3.5 Flash-Lite |
|---|---|---|
| Provider | DeepSeek | |
| Input Price | $0.435/1M tokens | $0.30/1M tokens |
| Output Price | $0.87/1M tokens | $2.50/1M tokens |
| Context Window | 1,000,000 tokens | 1,000,000 tokens |
| Max Output | 384,000 tokens | 65,536 tokens |
| Category | flagship | efficient |
| Capabilities | textcodereasoning | textvisionaudiovideocodereasoning |
| Release Date | 4/24/2026 | 7/21/2026 |
DeepSeek V4 Pro vs Gemini 3.5 Flash-Lite: Which Should You Choose?
Choosing between DeepSeek V4 Pro and Gemini 3.5 Flash-Lite depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3.5 Flash-Lite is the more affordable option at $0.30/1M input tokens — 31% cheaper than DeepSeek V4 Pro.
These models come from different providers — DeepSeek and Google — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with DeepSeek, switching to Googleinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: DeepSeek V4 Pro is a flagship model while Gemini 3.5 Flash-Lite is efficient. This means they're optimized for different workloads. DeepSeek V4 Pro is built for complex tasks that require deeper reasoning, while Gemini 3.5 Flash-Lite offers better value for routine operations.
Output costs matter too. DeepSeek V4 Pro charges $0.87/1M output tokens vs $2.50 for Gemini 3.5 Flash-Lite. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek V4 Pro has the edge here at $0.87/1M output tokens.
Multimodal capabilities: Gemini 3.5 Flash-Lite supports vision (image inputs) while DeepSeek V4 Pro is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose DeepSeek V4 Pro when:
- • You need longer outputs (up to 384,000 tokens)
- • You're already using DeepSeek's API ecosystem
Choose Gemini 3.5 Flash-Lite when:
- • Budget is a primary concern
- • You need more capabilities (vision, audio, video)
- • You're already using Google's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
DeepSeek V4 Pro
- • Input pricing: $0.435/M tokens
- • Output pricing: $0.87/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 384,000 tokens
Watch out for
- • Higher input cost than Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite
- • Input pricing: $0.30/M tokens
- • Output pricing: $2.50/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Higher output cost than DeepSeek V4 Pro
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
DeepSeek V4 Pro (DeepSeek)
Gemini 3.5 Flash-Lite (Google)
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Which is cheaper, DeepSeek V4 Pro or Gemini 3.5 Flash-Lite?▼
What is the context window difference between DeepSeek V4 Pro and Gemini 3.5 Flash-Lite?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare DeepSeek and Google API pricing beyond this model matchup?▼
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