Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.3 70B Instruct

DEPRECATED

Fireworks AI

This model is no longer active/free — kept for reference.

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

XingChen Xing4.0 29B A4B

OpenRouter

Intelligence Score 65/100
Context Window 262K Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.3 70B Instruct Wins

With an intelligence score of 94/100 vs 65/100, Llama 3.3 70B Instruct outperforms XingChen Xing4.0 29B A4B by 29 points.

Clear Winner: Significant performance advantage for Llama 3.3 70B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.3 70B Instruct
XingChen Xing4.0 29B A4B
Context Window
128K 262K Context
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~88-91% ~60-64%
Release Date
Dec 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
10 RPM (no payment method) / up to 6,000 RPM (with card + credits) 20 requests/minute
Daily Limit
Credit-based 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B 29B
Limitations
  • $1 credit is one-time only
  • Billing account needed for continued use
  • Rate limits apply to free tier
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Blazing Fast Inference
  • Fire-Function-v1: Optimized for tool use
  • JSON Mode: Guaranteed structure
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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