Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen3.5 397B A17B

Nebius (Token Factory)

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

DeepSeek V3.2

S-TIER

Friendli AI

Intelligence Score 94/100
Context Window 164K Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek V3.2 Wins

With an intelligence score of 94/100 vs 65/100, DeepSeek V3.2 outperforms Qwen3.5 397B A17B by 29 points.

Clear Winner: Significant performance advantage for DeepSeek V3.2.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.5 397B A17B
DeepSeek V3.2
Context Window
Long context 164K Context
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~60-64% ~88-91%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
60 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
397B Undisclosed
Limitations
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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