Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

GPT-4o (via routing)

S-TIER

Requesty

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

Llama 3.3 70B Instruct

S-TIER

Fireworks AI

Intelligence Score 94/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.3 70B Instruct Wins

With an intelligence score of 94/100 vs 92/100, Llama 3.3 70B Instruct outperforms GPT-4o (via routing) by 2 points.

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

Detailed Comparison

Feature
GPT-4o (via routing)
Llama 3.3 70B Instruct
Context Window
128K 128K
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~88-91%
Release Date
May-Nov 2024 Dec 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM 600 RPM
Daily Limit
Credit-based Credit-based
Capabilities
Vision
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
~1.8T (estimated) 70B
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • $1 credit is one-time only
  • Billing account needed for continued use
  • Rate limits apply to free tier
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • Blazing Fast Inference
  • Fire-Function-v1: Optimized for tool use
  • JSON Mode: Guaranteed structure

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