Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek-V4 Flash

A-TIER

DeepSeek

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 1M
Pricing Model Commercial / Paid
View Provider Analysis →

Qwen3.6 27B

Groq

Intelligence Score 65/100
Context Window 131K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek-V4 Flash Wins

With an intelligence score of 83/100 vs 65/100, DeepSeek-V4 Flash outperforms Qwen3.6 27B by 18 points.

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

Detailed Comparison

Feature
DeepSeek-V4 Flash
Qwen3.6 27B
Context Window
1M 131K tokens
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~60-64%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 30 RPM, 14.4k RPD
Daily Limit
Credit-based 14,400 Requests/Day
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 27B
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • Test
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

Similar Comparisons

DeepSeek-V4 Flash
vs
Llama Guard 4 12B
Qwen3.6 27B
vs
Llama Guard 4 12B
DeepSeek-V4 Flash
vs
Moonshot Kimi K2
Qwen3.6 27B
vs
Moonshot Kimi K2
DeepSeek-V4 Flash
vs
Moonshot Kimi K2 0905
Qwen3.6 27B
vs
Moonshot Kimi K2 0905
Qwen3.6 27B
vs
GPT-OSS 120B
Qwen3.6 27B
vs
GPT-OSS 20B
Qwen3.6 27B
vs
GPT-OSS Safeguard 20B
Qwen3.6 27B
vs
Qwen3 32B
Qwen3.6 27B
vs
MiniMax M2.7
Qwen3.6 27B
vs
Allam 2 7B