Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Nemotron 3.5 Lightning 30B A3B

A-TIER

NVIDIA NIM

Intelligence Score 85/100
Model Popularity 0 votes
Context Window 1M Context
Pricing Model Free / Open

Qwen3.6 35B A3B

Hetzner Inference API

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

Nemotron 3.5 Lightning 30B A3B Wins

With an intelligence score of 85/100 vs 65/100, Nemotron 3.5 Lightning 30B A3B outperforms Qwen3.6 35B A3B by 20 points.

Clear Winner: Significant performance advantage for Nemotron 3.5 Lightning 30B A3B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Nemotron 3.5 Lightning 30B A3B
Qwen3.6 35B A3B
Context Window
1M Context 262K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
~40 RPM (varies per model, not published) 10 requests, 4M input / 100K output tokens per 60s (per API key)
Daily Limit
- No daily cap published (free while the API is experimental)
Capabilities
No specific data
Vision Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
30B 35B
Limitations
  • Phone number verification required
  • Free credits are limited
  • Rate limits on free tier
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
Key Strengths
  • High performance models
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input

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