Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Claude 3.5 Sonnet (via routing)

S-TIER

Requesty

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

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

Replicate

Intelligence Score 76/100
Context Window 32K tokens
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
Claude 3.5 Sonnet (via routing)
mistralai/mistral-7b-instruct-v0.2
Context Window
200K 32K tokens
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~70-74%
Release Date
Jun-Oct 2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM Varies by model
Daily Limit
Credit-based Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
S-Tier (Elite) B-Tier (Strong)
Speed Estimate
Medium âš¡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Unknown 7b
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

Similar Comparisons