Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
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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

Codestral

A-TIER

Mistral AI

Intelligence Score 86/100
Context Window 32K
Pricing Model Commercial / Paid
Model Popularity 0 votes
Commercial/Paid Model
FINAL VERDICT

Codestral Wins

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

Clear Winner: Significant performance advantage for Codestral.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Codestral
Context Window
262K 32K
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
10 requests, 4M input / 100K output tokens per 60s (per API key) 5,000 RPM
Daily Limit
No daily cap published (free while the API is experimental) Based on tier
Capabilities
Vision Reasoning
Function Calling Streaming JSON Mode
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 💻 Code Generation
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
  • API key required
  • Limited availability
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Code specialist
  • Multi-language
  • Code completion

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