Google Gemini 1.5 Pro vs DeepSeek V3: Massive Context vs Open Efficiency
Comparing Google's 2,000,000 token context colossus to DeepSeek's revolutionary 671B MoE architecture with 95% cheaper token economics.
contextWindow
2,000,000 tokens (Industry Max)
humanEvalScore
84.1% (Coding)
mmluPro
85.9% (Reasoning)
inputCost
$1.25 / 1M tokens
outputCost
$5.00 / 1M tokens
multimodal
Video (1 hour) + Audio + Code + Text
contextWindow
128,000 tokens
humanEvalScore
89.4% (Open Architecture)
mmluPro
88.5% (High Reasoning)
inputCost
$0.14 / 1M tokens (95% Cheaper)
outputCost
$0.28 / 1M tokens
multimodal
Text + Code + Multi-Head Latent Attention
Performance Benchmarks
Overall Profile (Normalized)
Quick Verdict
Top Raw Score
DeepSeek V3 (671B MoE)
Best Value / Pricing
DeepSeek V3 (671B MoE)
Top AI & Compute
Google Gemini 1.5 Pro
Full Specification Breakdown
| Feature / Spec | Google Gemini 1.5 Pro | DeepSeek V3 (671B MoE) |
|---|---|---|
| context Window | 2,000,000 tokens (Industry Max) | 128,000 tokens |
| human Eval Score | 84.1% (Coding) | 89.4% (Open Architecture) |
| mmlu Pro | 85.9% (Reasoning) | 88.5% (High Reasoning) |
| input Cost | $1.25 / 1M tokens | $0.14 / 1M tokens (95% Cheaper) |
| output Cost | $5.00 / 1M tokens | $0.28 / 1M tokens |
| multimodal | Video (1 hour) + Audio + Code + Text | Text + Code + Multi-Head Latent Attention |
| Current Market Price | $20 USD/mo | $0 USD (Open Weights) |
Verdict
Gemini 1.5 Pro's 2M context window allows ingesting entire codebases, 1 hour of video, or full books in one prompt. DeepSeek V3 is the biggest disruption in AI pricing ($0.14 vs $1.25 per 1M tokens) with matching reasoning benchmarks. Use Gemini for immense context and DeepSeek for high-scale agent pipelines.