Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

Claude 3.5 Sonnet (via routing)

S-TIER

Requesty

Intelligence Score 93/100
Context Window 200K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Claude 3.5 Sonnet (via routing) Wins

With an intelligence score of 93/100 vs 80/100, Claude 3.5 Sonnet (via routing) outperforms DeepSeek-V4 Pro by 13 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-V4 Pro
Claude 3.5 Sonnet (via routing)
Context Window
128K 200K
Architecture
Dense Transformer Transformer (Proprietary)
Est. MMLU Score
~75-79% ~88-91%
Release Date
2024 Jun-Oct 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Unknown
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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