Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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

Replicate

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 32K tokens
Pricing Model Commercial / Paid

GPT-4o

S-TIER

OpenAI

Intelligence Score 92/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
Commercial/Paid Model
FINAL VERDICT

GPT-4o Wins

With an intelligence score of 92/100 vs 76/100, GPT-4o outperforms mistralai/mistral-7b-instruct-v0.2 by 16 points.

Clear Winner: Significant performance advantage for GPT-4o.
HEAD-TO-HEAD

Detailed Comparison

Feature
mistralai/mistral-7b-instruct-v0.2
GPT-4o
Context Window
32K tokens 128K
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~70-74% ~85-87%
Release Date
2024 May-Nov 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Varies by model 10,000 RPM
Daily Limit
Credit-based Based on tier
Capabilities
No specific data
Vision Function Calling Streaming JSON Mode
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
7b ~1.8T (estimated)
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • API key required
  • Rate limits apply
  • Pay-per-token pricing
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Advanced reasoning
  • Code generation
  • Creative writing

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