Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mistral Large (24.11)

DEPRECATED

GitHub Models

This model is no longer active/free — kept for reference.

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

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Mistral Large (24.11) Wins

With an intelligence score of 90/100 vs 80/100, Mistral Large (24.11) outperforms DeepSeek-V4 Pro by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral Large (24.11)
DeepSeek-V4 Pro
Context Window
128K 128K
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~85-87% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
10 RPM (high-tier) / higher for mini-tier 60 RPM
Daily Limit
50 RPD (high-tier models) / 150 RPD (mini-tier models) Credit-based
Capabilities
Reasoning Multilingual
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
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
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
Key Strengths
  • Prototyping
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)

Similar Comparisons