DeepSeek vs Google Gemini — API Comparison
Head-to-head comparison of pricing, features, and use case fit. Updated November 5, 2026.
⚡ Verdict: DeepSeek wins on price and China access; Google wins on multimodal and context window.
💰 Pricing Comparison
| Metric | DeepSeek | Google Gemini |
|---|---|---|
| Input Price | DeepSeek-V3: ¥0.14/M token (≈$0.02), R1: ¥0.14/M | Gemini 4 Carbon/Argon: $2/M intro, $4/M after; 2.5 Pro: $1.25-10/M, 2.5 Flash: $0.15-1.25/M, 2.0 Flash: $0.10/M |
| Output Price | DeepSeek-V3: ¥0.28/M token (≈$0.04), R1: ¥0.28/M | Gemini 4 Carbon/Argon: $10/M intro, $20/M after; 2.5 Pro: $5-40/M, 2.5 Flash: $0.30-5/M, 2.0 Flash: $0.40/M |
| China Access | ✅ Direct access in China | ❌ Proxy required (Google Cloud not accessible in CN) |
| Free Tier | Gemini 4 Carbon not yet public (Fairwind Program cohort only); Gemini 4 Argon paid-tier only; 2.5 Pro/Flash have free rate limits (15-30 RPM) | |
| Models | 3+ | 6+ |
| Overall Rank | #4 | #5 |
🤖 Supported Models
DeepSeek
Google Gemini
✨ Pros
DeepSeek
- ✓ Industry-lowest pricing: DeepSeek-V3 ¥0.14/M input
- ✓ R1 reasoning model: o1-comparable capabilities at ¥0.14/M
- ✓ Direct China access, no proxy needed
- ✓ ¥500 free credits on signup, generous trial
- ✓ Fully open-source model series, active community
- ✓ Chinese-optimized, excellent for local use cases
Google Gemini
- ✓ Gemini 4 Carbon announced (Oct 28, 2026): #1 on the AA Intelligence Index at 59
- ✓ Gemini 4 Argon live for developers: 1M output token limit and 1M context
- ✓ Gemini 4 series at $2/$10 per 1M tokens intro, cached input 95% off
- ✓ Native multimodal (images+audio+video)
- ✓ Google Search Grounding for real-time info
- ✓ Generous free tier (2.5 Flash sufficient for daily use)
- ✓ Competitive Gemma open-source model series
- ✓ Vertex AI for enterprise deployment
⚠️ Cons
DeepSeek
- × Limited model selection (only 3)
- × API occasional instability under high China traffic
- × English capabilities slightly behind GPT-4o/Claude
- × No multimodal output
- × Limited Function Calling (R1 doesn't support, V3 limited)
Google Gemini
- × Gemini 4 Carbon is not yet available to developers (no model ID, no API endpoint)
- × China requires proxy
- × API not fully OpenAI-compatible
- × Large context window but effective utilization questioned
- × Complex pricing structure (different rates per context length)
- × Gemini 2.5 Pro severely output-rate limited
🎯 Best For
DeepSeek
China-based developers; cost-sensitive applications; reasoning tasks (R1); bilingual scenarios
Google Gemini
Gemini 4 Carbon: multi-day persistent agents (pending); Argon: ultra-long document processing and code migration; 2.5 Flash: high-volume low-cost workloads
❓ FAQ
Which is cheaper, DeepSeek or Google Gemini? ▼
DeepSeek — Input: DeepSeek-V3: ¥0.14/M token (≈$0.02), R1: ¥0.14/M, Output: DeepSeek-V3: ¥0.28/M token (≈$0.04), R1: ¥0.28/M. Google Gemini — Input: Gemini 4 Carbon/Argon: $2/M intro, $4/M after; 2.5 Pro: $1.25-10/M, 2.5 Flash: $0.15-1.25/M, 2.0 Flash: $0.10/M, Output: Gemini 4 Carbon/Argon: $10/M intro, $20/M after; 2.5 Pro: $5-40/M, 2.5 Flash: $0.30-5/M, 2.0 Flash: $0.40/M.
Which is better for China access? ▼
DeepSeek: ✅ Direct access in China. Google Gemini: ❌ Proxy required (Google Cloud not accessible in CN).
What is the overall verdict? ▼
DeepSeek wins on price and China access; Google wins on multimodal and context window.