Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mistral Large (24.11)

S-TIER

GitHub Models

Intelligence Score 90/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open

DeepSeek V3

S-TIER

DeepInfra

Intelligence Score 94/100
Context Window 64K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

DeepSeek V3 Wins

With an intelligence score of 94/100 vs 90/100, DeepSeek V3 outperforms Mistral Large (24.11) by 4 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral Large (24.11)
DeepSeek V3
Context Window
128K 64K
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~85-87% ~88-91%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies by Copilot Tier 60 RPM (varies by model)
Daily Limit
Low Credit-based (no daily cap)
Capabilities
Reasoning Multilingual
Reasoning
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Restrictive limits
  • Requires GitHub account
  • Rate limits vary by Copilot tier
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
Key Strengths
  • Prototyping
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving

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