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 V3.1

S-TIER

SambaNova Cloud

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

DeepSeek V3.1 Wins

With an intelligence score of 94/100 vs 65/100, DeepSeek V3.1 outperforms Qwen3.5 397B A17B by 29 points.

Clear Winner: Significant performance advantage for DeepSeek V3.1.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.5 397B A17B
DeepSeek V3.1
Context Window
Long context Long 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 Varies by model
Daily Limit
Credit-based Dependent on credits
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
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
Key Strengths
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed

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