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

Claude 3.5 Sonnet (via routing)

S-TIER

Requesty

Intelligence Score 93/100
Context Window 200K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Claude 3.5 Sonnet (via routing) Wins

With an intelligence score of 93/100 vs 76/100, Claude 3.5 Sonnet (via routing) outperforms mistralai/mistral-7b-instruct-v0.2 by 17 points.

Clear Winner: Significant performance advantage for Claude 3.5 Sonnet (via routing).
HEAD-TO-HEAD

Detailed Comparison

Feature
mistralai/mistral-7b-instruct-v0.2
Claude 3.5 Sonnet (via routing)
Context Window
32K tokens 200K
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~70-74% ~88-91%
Release Date
2024 Jun-Oct 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Varies by model 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
âš¡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
7b Unknown
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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