Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

DeepSeek V3.1

S-TIER

SambaNova Cloud

Intelligence Score 94/100
Model Popularity 0 votes
Context Window Long context
Pricing Model Free / Open
View Provider Analysis →

Mistral Nemo 12B

A-TIER

Ollama

Intelligence Score 84/100
Context Window 32K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek V3.1 Wins

With an intelligence score of 94/100 vs 84/100, DeepSeek V3.1 outperforms Mistral Nemo 12B by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek V3.1
Mistral Nemo 12B
Context Window
Long context 32K tokens
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~88-91% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model Hardware limited
Daily Limit
Dependent on credits Unlimited
Capabilities
No specific data
Multilingual
Performance Tier
S-Tier (Elite) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 12B
Limitations
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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