Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Gemma 4 31B

Friendli AI

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

Qwen3 235B A22B Instruct 2507

Nebius (Token Factory)

Intelligence Score 76/100
Context Window 256K Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen3 235B A22B Instruct 2507 Wins

With an intelligence score of 76/100 vs 65/100, Qwen3 235B A22B Instruct 2507 outperforms Gemma 4 31B by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemma 4 31B
Qwen3 235B A22B Instruct 2507
Context Window
262K Context 256K Context
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~70-74%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
60 RPM 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
31B 235B
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing

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