Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
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Jamba 1.5 Mini

A-TIER

AI21 Labs

Intelligence Score 82/100
Model Popularity 0 votes
Context Window 256K
Pricing Model Commercial / Paid
View Provider Analysis →

DeepSeek: R1 Distill Llama 70B (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek: R1 Distill Llama 70B (free) Wins

With an intelligence score of 83/100 vs 82/100, DeepSeek: R1 Distill Llama 70B (free) outperforms Jamba 1.5 Mini by 1 point.

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

Detailed Comparison

Feature
Jamba 1.5 Mini
DeepSeek: R1 Distill Llama 70B (free)
Context Window
256K 128k
Architecture
SSM-Transformer Hybrid (Mamba) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
100 RPM 20 requests/minute
Daily Limit
Credit-based 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
⚡ Fast Chat & Apps 🧠 Complex Reasoning
Model Size
Undisclosed 70B
Limitations
  • Credits expire after 3 months
  • Unique architecture (check compatibility)
  • Focus on text (no vision yet)
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Jamba: SSM-Transformer Hybrid
  • 256K Context Window
  • Highly efficient inference
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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