Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Qwen3.5 397B A17B

DEPRECATED

Nebius (Token Factory)

This model is no longer active/free — kept for reference.

Intelligence Score 65/100
Model Popularity 0 votes
Context Window Long context
Pricing Model Free / Open

Gemini 2.0 Flash Thinking

DEPRECATED

Google AI Studio

This model is no longer active/free — kept for reference.

Intelligence Score 94/100
Context Window 1M Context, 10 RPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 2.0 Flash Thinking Wins

With an intelligence score of 94/100 vs 65/100, Gemini 2.0 Flash Thinking outperforms Qwen3.5 397B A17B by 29 points.

Clear Winner: Significant performance advantage for Gemini 2.0 Flash Thinking.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen3.5 397B A17B
Gemini 2.0 Flash Thinking
Context Window
Long context 1M Context, 10 RPM
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~60-64% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Dynamic limits (adaptive per 15-minute window, not a fixed RPM) Varies by model (per-model limits are now shown only inside AI Studio)
Daily Limit
Credit-based Varies by model. Free: Gemini 3.x Flash / Flash-Lite and Gemini 2.5 Pro/Flash (2.5 redirect to 3.x on Dec 1, 2026); Gemini 3.x Pro and Gemini 4 are paid
Capabilities
No specific data
Thinking Reasoning
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
397B ~1.5T (estimated)
Limitations
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
Key Strengths
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed

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