Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

GPT-OSS 120B

Groq

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 131K Context
Pricing Model Free / Open
View Provider Analysis →

Qwen3.6 35B A3B

Hetzner Inference API

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

Qwen3.6 35B A3B Wins

Equal intelligence scores (65/100), but Qwen3.6 35B A3B offers a significantly larger context window.

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

Detailed Comparison

Feature
GPT-OSS 120B
Qwen3.6 35B A3B
Context Window
131K Context 262K
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~60-64%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM; 8K TPM on most chat models (varies by model) 10 requests, 4M input / 100K output tokens per 60s (per API key)
Daily Limit
1,000 requests/day and 200K tokens/day on gpt-oss / Qwen (varies by model) No daily cap published (free while the API is experimental)
Capabilities
No specific data
Vision Reasoning
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
120B 35B
Limitations
  • Test
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input

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