Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Qwen3 235B A22B Instruct 2507

Nebius (Token Factory)

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

Qwen3.6 35B

Ollama

Intelligence Score 65/100
Context Window
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen3 235B A22B Instruct 2507 Wins

With an intelligence score of 76/100 vs 65/100, Qwen3 235B A22B Instruct 2507 outperforms Qwen3.6 35B by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3 235B A22B Instruct 2507
Qwen3.6 35B
Context Window
256K Context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Dynamic limits (adaptive per 15-minute window, not a fixed RPM) Hardware limited
Daily Limit
Credit-based Unlimited
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
235B 35B
Limitations
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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