Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Kimi K2.7 Code

A-TIER

Cloudflare Workers AI

Intelligence Score 85/100

Model Popularity 0 votes

Context Window 262K Context

Pricing Model Free / Open

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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 85/100 vs 65/100, Kimi K2.7 Code outperforms Qwen3.6 35B A3B by 20 points.

Clear Winner: Significant performance advantage for Kimi K2.7 Code.

HEAD-TO-HEAD

Feature	Kimi K2.7 Code	Qwen3.6 35B A3B
Context Window	262K 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)	Varies by model	10 requests, 4M input / 100K output tokens per 60s (per API key)
Daily Limit	10,000 neurons/day	No daily cap published (free while the API is experimental); a Hetzner account with billing details is required and Hetzner may ask for a card or ID to verify it
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	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