Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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No matches found

Qwen3.6 35B A3B

Hetzner Inference API

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 262K
Pricing Model Free / Open

Command R7B (12-2024)

A-TIER

Cohere

Intelligence Score 87/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Command R7B (12-2024) Wins

With an intelligence score of 87/100 vs 65/100, Command R7B (12-2024) outperforms Qwen3.6 35B A3B by 22 points.

Clear Winner: Significant performance advantage for Command R7B (12-2024).
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Command R7B (12-2024)
Context Window
262K 128K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
3M input / 60K output tokens per 60s 20 requests/minute
Daily Limit
500M input / 5M output tokens per 24h -
Capabilities
Vision Reasoning
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
35B 7B
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • Monthly quota shared across all models
  • 1,000 API calls/month on free tier
  • Commercial use restricted on free plan
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Retrieval Augmented Generation (RAG) built-in
  • Enterprise-grade models
  • Embeddings and reranking models

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