DeepSeek vs Gemini Pricing: Which Is Cheaper in 2026?
DeepSeek V4 Flash costs $0.14/1M input tokens. Gemini 2.0 Flash costs $0.10. But the full picture is more nuanced.
Updated May 1, 2026. Prices verified against official provider pages.
DeepSeek and Google Gemini are the two most popular budget-friendly AI API options. Both offer models at a fraction of OpenAI and Anthropic's prices. But which one is actually cheaper for your use case? Let's break it down.
Head-to-Head: All 5 Models
| Model | Input/1M | Output/1M | Context | Notes |
|---|---|---|---|---|
| Gemini 2.0 Flash | $0.10 | $0.40 | 1M | Cheapest input — but deprecated, shuts down June 1 |
| DeepSeek V4 Flash | $0.14 | $0.28 | 1M | Cheapest output, best value overall |
| DeepSeek V4 Pro | $0.44 | $0.87 | 1M | 75% discount through May 31 |
| Gemini 2.5 Pro | $1.25 | $10.00 | 1M | Strong reasoning, thinking model |
| Gemini 3.1 Pro | $2.00 | $12.00 | 1M | Google's latest flagship |
Budget Tier: DeepSeek V4 Flash vs Gemini 2.0 Flash
On the surface, Gemini 2.0 Flash wins on input price ($0.10 vs $0.14). But there are important differences:
- Output price: DeepSeek V4 Flash is cheaper ($0.28 vs $0.40) — and chatbots are output-heavy
- Availability: Gemini 2.0 Flash is deprecated and shuts down June 1, 2026. DeepSeek V4 Flash is the current model.
- Context window: Both have 1M token context windows
- Max output: DeepSeek V4 Flash supports 384K output tokens vs Gemini's 8K
Mid-Tier: DeepSeek V4 Pro vs Gemini 2.5 Pro
For tasks that need stronger reasoning:
- Price: DeepSeek V4 Pro is 2.8x cheaper on input and 11.5x cheaper on output (with the 75% discount)
- Quality: Gemini 2.5 Pro is generally considered stronger on complex reasoning tasks
- Thinking: Gemini 2.5 Pro is a "thinking" model that shows its reasoning process. DeepSeek V4 Pro also supports thinking mode.
- Discount risk: DeepSeek V4 Pro's 75% discount expires May 31. After that, it reverts to $1.74/$3.48 — still cheaper than Gemini 2.5 Pro.
Real Cost Comparison: 3 Scenarios
Chatbot (10K conversations/month, 500 input + 300 output tokens each)
RAG Pipeline (100K queries/month, 2K input + 500 output tokens each)
Code Assistant (50 devs, 20 requests/day each, 3K input + 1K output tokens)
When to Choose DeepSeek
- Cost is the primary concern — DeepSeek is consistently 3-15x cheaper
- High-volume workloads — the savings compound at scale
- Code generation — DeepSeek V4 Pro excels at coding tasks
- Long outputs — 384K max output vs Gemini's 8K-65K
When to Choose Gemini
- Complex reasoning — Gemini 2.5 Pro's thinking model is stronger on multi-step problems
- Multimodal inputs — Gemini natively handles images, audio, and video
- Google ecosystem — better integration with Google Cloud, Vertex AI
- Reliability — Google's infrastructure has better uptime guarantees
The Deprecation Problem
Google is aggressively deprecating older Gemini models:
- Gemini 3 Pro: Shut down March 9, 2026 (replaced by 3.1 Pro)
- Gemini 2.0 Flash: Shutting down June 1, 2026
DeepSeek has been more stable — V3 is still available alongside V4. If you're building production systems, model stability matters.
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