Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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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 →

Mistral Leanstral 1.5

Requesty

Intelligence Score 65/100
Context Window 262K Context
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 Mistral Leanstral 1.5 by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3 235B A22B Instruct 2507
Mistral Leanstral 1.5
Context Window
256K Context 262K 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) 20 RPM on free models (60 RPM for paying orgs)
Daily Limit
Credit-based 200 requests/day (new orgs) / 1,000/day (paying orgs), shared across free models
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 Undisclosed
Limitations
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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