Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B (via routing)

DEPRECATED

Requesty

This model is no longer active/free — kept for reference.

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

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

Llama 3.1 70B (via routing) Wins

With an intelligence score of 87/100 vs 76/100, Llama 3.1 70B (via routing) outperforms Qwen3 235B A22B Instruct 2507 by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B (via routing)
Qwen3 235B A22B Instruct 2507
Context Window
128K 256K Context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~70-74%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
20 RPM on free models (60 RPM for paying orgs) Dynamic limits (adaptive per 15-minute window, not a fixed RPM)
Daily Limit
200 requests/day (new orgs) / 1,000/day (paying orgs), shared across free models Credit-based
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B 235B
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing

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