Battle of the Models

Compare specific LLM models, context windows, and capabilities.

MiniMax M2.7

DEPRECATED

Groq

This model is no longer active/free — kept for reference.

Intelligence Score 81/100

Model Popularity 0 votes

Context Window 196K tokens

Pricing Model Free / Open

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A-TIER

Requesty

Intelligence Score 83/100

Context Window 262K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 83/100 vs 81/100, inclusionAI Ling 3.1 Flash outperforms MiniMax M2.7 by 2 points.

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

HEAD-TO-HEAD

Feature	MiniMax M2.7	inclusionAI Ling 3.1 Flash
Context Window	196K tokens	262K Context
Architecture	Transformer	Transformer
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	30 RPM; 8K TPM on most chat models (varies by model)	20 RPM on free models (60 RPM for paying orgs)
Daily Limit	1,000 requests/day and 200K tokens/day on gpt-oss / Qwen (varies by model)	200 requests/day (new orgs) / 1,000/day (paying orgs), shared across free models
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	Test	Requires underlying provider API keys Free credit amount is limited Routing adds minimal latency
Key Strengths	LPU Accelerated Extremely Fast Inference Open Source Models	AI Router: automatic provider failover Prompt caching for cost savings Multi-provider load balancing