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
View Provider Analysis →

Llama 3.1 70B (via routing)

A-TIER

Requesty

Intelligence Score 87/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 70B (via routing) Wins

With an intelligence score of 87/100 vs 65/100, Llama 3.1 70B (via routing) outperforms Qwen3.6 35B A3B by 22 points.

Clear Winner: Significant performance advantage for Llama 3.1 70B (via routing).
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Llama 3.1 70B (via routing)
Context Window
262K 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
3M input / 60K output tokens per 60s 60 RPM
Daily Limit
500M input / 5M output tokens per 24h 200 requests/day (free models)
Capabilities
Vision Reasoning
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
35B 70B
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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