Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
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

Gemini 3.1 Pro

S-TIER

Google

Intelligence Score 99/100
Context Window 2M
Pricing Model Commercial / Paid
Model Popularity 0 votes
Commercial/Paid Model
FINAL VERDICT

Gemini 3.1 Pro Wins

With an intelligence score of 99/100 vs 65/100, Gemini 3.1 Pro outperforms Qwen3.6 35B A3B by 34 points.

Clear Winner: Significant performance advantage for Gemini 3.1 Pro.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.6 35B A3B
Gemini 3.1 Pro
Context Window
262K 2M
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~60-64% ~92-95%
Release Date
2024 2026 (Expected)
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
3M input / 60K output tokens per 60s 2,000 RPM
Daily Limit
500M input / 5M output tokens per 24h 1,500 requests/day (free tier)
Capabilities
Vision Reasoning
Vision Function Calling Streaming JSON Mode Web Search
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
35B ~1.5T (estimated)
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
  • Rate limits vary by region
Key Strengths
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • Complex tasks
  • Creative concepts
  • Best-in-class reasoning

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