Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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GPT-4o (via Coze)

S-TIER

Coze

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open

Qwen3 235B A22B Instruct 2507

Nebius (Token Factory)

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

GPT-4o (via Coze) Wins

With an intelligence score of 92/100 vs 76/100, GPT-4o (via Coze) outperforms Qwen3 235B A22B Instruct 2507 by 16 points.

Clear Winner: Significant performance advantage for GPT-4o (via Coze).
HEAD-TO-HEAD

Detailed Comparison

Feature
GPT-4o (via Coze)
Qwen3 235B A22B Instruct 2507
Context Window
128K 256K Context
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~70-74%
Release Date
May-Nov 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 60 RPM
Daily Limit
Token-based daily limits Credit-based
Capabilities
Vision
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
~1.8T (estimated) 235B
Limitations
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
Key Strengths
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing

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