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 →

MiniMax M2.7

A-TIER

Groq

Intelligence Score 81/100
Context Window 196K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

MiniMax M2.7 Wins

With an intelligence score of 81/100 vs 65/100, MiniMax M2.7 outperforms Qwen3.6 35B A3B by 16 points.

Clear Winner: Significant performance advantage for MiniMax M2.7.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
MiniMax M2.7
Context Window
262K 196K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
3M input / 60K output tokens per 60s 30 RPM, 14.4k RPD
Daily Limit
500M input / 5M output tokens per 24h 14,400 Requests/Day
Capabilities
Vision Reasoning
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
35B Undisclosed
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • Test
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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