Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Qwen 2.5 Coder 32B

A-TIER

SambaNova Cloud

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 32k Context
Pricing Model Commercial / Paid
View Provider Analysis →

mistralai/mistral-7b-instruct-v0.2

Replicate

Intelligence Score 76/100
Context Window 32K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 Coder 32B Wins

With an intelligence score of 89/100 vs 76/100, Qwen 2.5 Coder 32B outperforms mistralai/mistral-7b-instruct-v0.2 by 13 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 Coder 32B
mistralai/mistral-7b-instruct-v0.2
Context Window
32k Context 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~70-74%
Release Date
Sep-Nov 2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Varies by model Varies by model
Daily Limit
Dependent on credits Credit-based
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
💻 Code Generation General Purpose
Model Size
32B 7b
Limitations
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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