Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 (Deployable)

Cerebrium

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

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

Replicate

Intelligence Score 76/100
Context Window 32K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

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

With an intelligence score of 76/100 vs 65/100, mistralai/mistral-7b-instruct-v0.2 outperforms Llama 3.1 (Deployable) by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 (Deployable)
mistralai/mistral-7b-instruct-v0.2
Context Window
128K 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~70-74%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Pay-per-second compute Varies by model
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 7b
Limitations
  • $30 is one-time trial credits
  • Requires some DevOps knowledge
  • Cold starts for serverless models
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Deploy any HuggingFace model
  • Serverless GPU infrastructure
  • Auto-scaling (scale to zero)
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

Similar Comparisons

Llama 3.1 (Deployable)
vs
Meta: Llama 3.3 70B Instruct (free)
mistralai/mistral-7b-instruct-v0.2
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 (Deployable)
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
mistralai/mistral-7b-instruct-v0.2
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 (Deployable)
vs
DeepSeek: R1 Distill Llama 70B (free)
mistralai/mistral-7b-instruct-v0.2
vs
DeepSeek: R1 Distill Llama 70B (free)
mistralai/mistral-7b-instruct-v0.2
vs
Llama 3.2 3B
mistralai/mistral-7b-instruct-v0.2
vs
Llama 3.1 (Any Size)
mistralai/mistral-7b-instruct-v0.2
vs
Llama 3.2 11B Vision
mistralai/mistral-7b-instruct-v0.2
vs
Llama 3.1 8B Instruct
mistralai/mistral-7b-instruct-v0.2
vs
meta/llama-3-70b-instruct
mistralai/mistral-7b-instruct-v0.2
vs
stability-ai/sdxl