Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
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

Llama 3.1 8B (Fast)

Cerebras

Intelligence Score 78/100
Context Window 8K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 8B (Fast) Wins

With an intelligence score of 78/100 vs 65/100, Llama 3.1 8B (Fast) outperforms Qwen3.6 35B A3B by 13 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Llama 3.1 8B (Fast)
Context Window
262K 8K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~70-74%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
3M input / 60K output tokens per 60s 5 RPM
Daily Limit
500M input / 5M output tokens per 24h 1M tokens/day
Capabilities
Vision Reasoning
Reasoning
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
35B 8B
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility

Similar Comparisons