Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Llama 3.1 70B (via routing)

A-TIER

Requesty

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

Gemini 3.1 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 96/100
Context Window 1M Context, 30 RPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 3.1 Flash-Lite Wins

With an intelligence score of 96/100 vs 87/100, Gemini 3.1 Flash-Lite outperforms Llama 3.1 70B (via routing) by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B (via routing)
Gemini 3.1 Flash-Lite
Context Window
128K 1M Context, 30 RPM
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~80-84% ~92-95%
Release Date
Jul 2024 2026 (Expected)
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 15 RPM (Flash) / 30 RPM (Flash-Lite) / 2 RPM (Pro)
Daily Limit
Credit-based 1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
70B ~1.5T (estimated)
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed

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