Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek V4 Pro

DEPRECATED

Onomeo

This model is no longer active/free — kept for reference.

Intelligence Score 80/100
Model Popularity 0 votes
Context Window Unknown
Pricing Model Free / Open

Qwen3.5 397B A17B

Nebius (Token Factory)

Intelligence Score 65/100
Context Window Long context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek V4 Pro Wins

With an intelligence score of 80/100 vs 65/100, DeepSeek V4 Pro outperforms Qwen3.5 397B A17B by 15 points.

Clear Winner: Significant performance advantage for DeepSeek V4 Pro.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek V4 Pro
Qwen3.5 397B A17B
Context Window
Unknown Long context
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
12 requests/minute per key Dynamic limits (adaptive per 15-minute window, not a fixed RPM)
Daily Limit
30 free-model calls every 5 hours per account Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 397B
Limitations
  • Free model lineup rotates
  • Upstream free tiers may train on prompts
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
Key Strengths
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing

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