Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Qwen3 235B A22B Instruct 2507

Nebius (Token Factory)

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 256K Context
Pricing Model Free / Open

NVIDIA Nemotron 3.5 Lightning

A-TIER

OpenRouter

Intelligence Score 85/100
Context Window 1M Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

NVIDIA Nemotron 3.5 Lightning Wins

With an intelligence score of 85/100 vs 76/100, NVIDIA Nemotron 3.5 Lightning outperforms Qwen3 235B A22B Instruct 2507 by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3 235B A22B Instruct 2507
NVIDIA Nemotron 3.5 Lightning
Context Window
256K Context 1M Context
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~70-74% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
60 RPM 20 requests/minute
Daily Limit
Credit-based 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
235B Undisclosed
Limitations
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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