Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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TinyLlama

llamafile

Intelligence Score 64/100
Model Popularity 0 votes
Context Window Local
Pricing Model Free / Open

Gemma 4 31B (preview)

SambaNova Cloud

Intelligence Score 65/100
Context Window Long context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemma 4 31B (preview) Wins

With an intelligence score of 65/100 vs 64/100, Gemma 4 31B (preview) outperforms TinyLlama by 1 point.

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

Detailed Comparison

Feature
TinyLlama
Gemma 4 31B (preview)
Context Window
Local Long context
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent Varies by model
Daily Limit
Unlimited Dependent on credits
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 31B
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed

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