Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mistral Nemo 12B

A-TIER

Ollama

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

Qwen 2.5 VL 72B Instruct (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Mistral Nemo 12B Wins

With an intelligence score of 84/100 vs 83/100, Mistral Nemo 12B outperforms Qwen 2.5 VL 72B Instruct (free) by 1 point.

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

Detailed Comparison

Feature
Mistral Nemo 12B
Qwen 2.5 VL 72B Instruct (free)
Context Window
32K tokens 32k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 20 requests/minute
Daily Limit
Unlimited 50 requests/day (up to 1000 with $10 topup)
Capabilities
Multilingual
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose 👁️ Vision & Multimodal
Model Size
12B 72B
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

Similar Comparisons

Mistral Nemo 12B
vs
DeepSeek: R1 (free)
Qwen 2.5 VL 72B Instruct (free)
vs
DeepSeek: R1 (free)
Mistral Nemo 12B
vs
DeepSeek: R1 Distill Llama 70B (free)
Qwen 2.5 VL 72B Instruct (free)
vs
DeepSeek: R1 Distill Llama 70B (free)
Mistral Nemo 12B
vs
Mistral: Small 3 (free)
Qwen 2.5 VL 72B Instruct (free)
vs
Mistral: Small 3 (free)
Qwen 2.5 VL 72B Instruct (free)
vs
Qwen 2.5 7B Instruct (free)
Qwen 2.5 VL 72B Instruct (free)
vs
Microsoft: Phi-3 Medium (free)
Qwen 2.5 VL 72B Instruct (free)
vs
Microsoft: Phi-3 Mini (free)
Qwen 2.5 VL 72B Instruct (free)
vs
Google: Gemini 2.0 Flash (free)
Qwen 2.5 VL 72B Instruct (free)
vs
Google: Gemini 2.0 Pro (free)
Qwen 2.5 VL 72B Instruct (free)
vs
Meta: Llama 3.3 70B Instruct (free)