Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemini 2.5 Flash

S-TIER

Google

Intelligence Score 91/100
Model Popularity 0 votes
Context Window 1M
Pricing Model Commercial / Paid
Commercial/Paid Model

Qwen3.6 35B A3B

Hetzner Inference API

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

Gemini 2.5 Flash Wins

With an intelligence score of 91/100 vs 65/100, Gemini 2.5 Flash outperforms Qwen3.6 35B A3B by 26 points.

Clear Winner: Significant performance advantage for Gemini 2.5 Flash.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemini 2.5 Flash
Qwen3.6 35B A3B
Context Window
1M 262K
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~60-64%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
2,000 RPM 10 requests, 4M input / 100K output tokens per 60s (per API key)
Daily Limit
1,500 requests/day (free tier) 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
Vision Function Calling Streaming JSON Mode
Vision Reasoning
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) 35B
Limitations
  • API key required
  • Rate limits vary by region
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
Key Strengths
  • Low-latency
  • High-volume tasks
  • Reasoning capable
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input

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