Model Comparison
Grok-1.5 vs Qwen3-Coder
Comparing Grok-1.5 and Qwen3-Coder across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Grok-1.5 and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Qwen3-Coder specifies input context (256,000 tokens). Only Qwen3-Coder specifies output context (256,000 tokens).
License
Usage and distribution terms
Grok-1.5 is licensed under a proprietary license, while Qwen3-Coder uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Grok-1.5 was released on 2024-03-28, while Qwen3-Coder was released on 2025-01-01.
Qwen3-Coder is 9 months newer than Grok-1.5.
Mar 28, 2024
2.0 years ago
Jan 1, 2025
1.3 years ago
9mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen3-Coder
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Grok-1.5 vs Qwen3-Coder