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 →

Mistral Small 3.1 24B

A-TIER

Cloudflare Workers AI

Intelligence Score 82/100
Context Window 128K Context
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Mistral Small 3.1 24B Wins

With an intelligence score of 82/100 vs 65/100, Mistral Small 3.1 24B outperforms Qwen3.6 35B A3B by 17 points.

Clear Winner: Significant performance advantage for Mistral Small 3.1 24B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Mistral Small 3.1 24B
Context Window
262K 128K Context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
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 Varies by model
Daily Limit
500M input / 5M output tokens per 24h 10,000 neurons/day
Capabilities
Vision Reasoning
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
35B 24B
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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