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

DeepSeek Flash (V4.1)

A-TIER

DeepSeek

Intelligence Score 83/100
Context Window 1M Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek Flash (V4.1) Wins

With an intelligence score of 83/100 vs 65/100, DeepSeek Flash (V4.1) outperforms Qwen 3.8 27B by 18 points.

Clear Winner: Significant performance advantage for DeepSeek Flash (V4.1).
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 3.8 27B
DeepSeek Flash (V4.1)
Context Window
128K Context 1M Context
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) 60 RPM
Daily Limit
1M tokens/day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
27B Undisclosed
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)

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