Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mistral Nemo Instruct 2407

A-TIER

LLM7.io

Intelligence Score 80/100
Model Popularity 0 votes
Context Window 128K Context
Pricing Model Free / Open

Qwen 2.5 Coder 32B

DEPRECATED

SambaNova Cloud

This model is no longer active/free — kept for reference.

Intelligence Score 89/100
Context Window 32k Context
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 Coder 32B Wins

With an intelligence score of 89/100 vs 80/100, Qwen 2.5 Coder 32B outperforms Mistral Nemo Instruct 2407 by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral Nemo Instruct 2407
Qwen 2.5 Coder 32B
Context Window
128K Context 32k Context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM (no signup) / 120 RPM (free email token) Varies by model
Daily Limit
Up to 5M tokens/day (rolling 24h, with free token) Dependent on credits
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
Undisclosed 32B
Limitations
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed

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