Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Reflection Beam 1.0

Kilo AI Gateway

Intelligence Score 65/100
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

Reflection Beam 1.0 Wins

Equal intelligence scores (65/100), but Reflection Beam 1.0 offers a significantly larger context window.

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

Detailed Comparison

Feature
Reflection Beam 1.0
Qwen3.6 35B A3B
Context Window
1M Context 262K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
200 requests/hour per IP on free models (anonymous use allowed) 10 requests, 4M input / 100K output tokens per 60s (per API key)
Daily Limit
Default free models only No daily cap published (free while the API is experimental)
Capabilities
No specific data
Vision Reasoning
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 35B
Limitations
  • Free capacity and limits can change; verify on the provider site
  • Listed from community submissions - partly verified
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
Key Strengths
  • OpenAI-compatible API
  • Multi-model access
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input

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