Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Codestral Latest

A-TIER

LLM7.io

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 256K Context

Pricing Model Free / Open

View Provider Analysis →

Hetzner Inference API

Intelligence Score 65/100

Context Window 262K

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 86/100 vs 65/100, Codestral Latest outperforms Qwen3.6 35B A3B by 21 points.

Clear Winner: Significant performance advantage for Codestral Latest.

HEAD-TO-HEAD

Feature	Codestral Latest	Qwen3.6 35B A3B
Context Window	256K 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)	1 req/s, 60/min, 250/hour (free token from dash.llm7.io)	10 requests, 4M input / 100K output tokens per 60s (per API key)
Daily Limit	100,000 tokens per 24h (free token; may be reduced without notice)	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	💻 Code Generation	General Purpose
Model Size	Undisclosed	35B
Limitations	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use	Experimental — no SLA, could be discontinued or paywalled at any time Only one model currently offered No official uptime/support guarantees
Key Strengths	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use	OpenAI-compatible endpoint — swap base_url + key EU data residency MoE model with 262K context and image input