Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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DeepSeek V4.1 Flash (1017)

A-TIER

Scaleway Generative APIs

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 256K Context
Pricing Model Free / Open
View Provider Analysis →

MiniMax M2.7

DEPRECATED

Groq

This model is no longer active/free — kept for reference.

Intelligence Score 81/100
Context Window 196K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek V4.1 Flash (1017) Wins

With an intelligence score of 83/100 vs 81/100, DeepSeek V4.1 Flash (1017) outperforms MiniMax M2.7 by 2 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek V4.1 Flash (1017)
MiniMax M2.7
Context Window
256K Context 196K tokens
Architecture
Dense Transformer Transformer
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Organization quota in tokens/minute (see console) 30 RPM; 8K TPM on most chat models (varies by model)
Daily Limit
Credit-based 1,000 requests/day and 200K tokens/day on gpt-oss / Qwen (varies by model)
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps ⚡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • 1M token trial is finite
  • Region-specific availability
  • Billing account required
  • Test
Key Strengths
  • Data Sovereignty: Hosted in Paris/Warsaw/Amsterdam
  • Privacy First: No training on data
  • Low Latency in Europe
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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