Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mistral 7B Instruct v0.2

Cloudflare Workers AI

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open
View Provider Analysis →

Qwen3.6 35B A3B

Hetzner Inference API

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

Mistral 7B Instruct v0.2 Wins

With an intelligence score of 76/100 vs 65/100, Mistral 7B Instruct v0.2 outperforms Qwen3.6 35B A3B by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral 7B Instruct v0.2
Qwen3.6 35B A3B
Context Window
32K 262K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 3M input / 60K output tokens per 60s
Daily Limit
10,000 neurons/day 500M input / 5M output tokens per 24h
Capabilities
Multilingual
Vision Reasoning
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
7B 35B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input

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mistralai/mistral-7b-instruct-v0.2