Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 3.8 27B

Cerebras

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K Context
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 Qwen 3.8 27B by 34 points.

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

Detailed Comparison

Feature
Qwen 3.8 27B
Gemini 3.1 Pro
Context Window
128K Context 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)
5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) 2,000 RPM
Daily Limit
1M tokens/day 1,500 requests/day (free tier)
Capabilities
No specific data
Vision Function Calling Streaming JSON Mode Web Search
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
27B ~1.5T (estimated)
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • API key required
  • Rate limits vary by region
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Complex tasks
  • Creative concepts
  • Best-in-class reasoning

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