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DeepSeek R1 vs Gemini 2.0 Flash: Pricing, Benchmarks & Verdict (2026)

Verdict

Gemini 2.0 Flash is significantly cheaper at $0.10/$0.40 per million tokens vs $0.55/$2.19. DeepSeek R1 is stronger for coding with a coding ELO of 1330 vs 1240. Gemini 2.0 Flash is faster at 160 tokens/sec vs 45 tokens/sec. DeepSeek R1 ranks higher overall with an Arena ELO of 1310 vs 1260. Gemini 2.0 Flash offers a larger 1049K context window vs 128K.

Side-by-Side Comparison

FeatureDeepSeek R1Gemini 2.0 Flash
ProviderDeepSeekGoogle
Input Price / 1M tokens$0.550$0.100
Output Price / 1M tokens$2.19$0.400
Context Window128K1.048576M
Max Output Tokens8,1928,192
Arena ELO1,3101,260
Coding ELO1,3301,240
TTFT (ms)1,800120
Tokens/sec45160
MultimodalNoYes
JSON ModeYesYes
Function CallingNoYes
VisionNoYes
When to Use DeepSeek R1

Choose DeepSeek R1 when you need: excellent reasoning at a fraction of o3's cost, open-source and self-hostable, top-tier math performance, very competitive with proprietary reasoning models. It excels at reasoning, math, coding, science tasks.

Strengths:

  • Excellent reasoning at a fraction of o3's cost
  • Open-source and self-hostable
  • Top-tier math performance
  • Very competitive with proprietary reasoning models

Best for:

reasoningmathcodingscience
When to Use Gemini 2.0 Flash

Choose Gemini 2.0 Flash when you need: extremely fast inference, 1m context window at very low cost, strong multimodal support, great for real-time applications. It excels at chatbots, high-volume, cost-sensitive, multimodal tasks. It is also the more cost-effective option between the two. Its 1049K context window is larger, making it better for long-document processing.

Strengths:

  • Extremely fast inference
  • 1M context window at very low cost
  • Strong multimodal support
  • Great for real-time applications

Best for:

chatbotshigh-volumecost-sensitivemultimodal

Frequently Asked Questions

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