Model Comparison

GPT-4 Turbo vs Qwen3-Coder 480B A35B Instruct

Comparing GPT-4 Turbo and Qwen3-Coder 480B A35B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-4 Turbo and Qwen3-Coder 480B A35B Instruct 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.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Only GPT-4 Turbo specifies input context (128,000 tokens). Only GPT-4 Turbo specifies output context (4,096 tokens).

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

GPT-4 Turbo is licensed under a proprietary license, while Qwen3-Coder 480B A35B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4 Turbo

Proprietary

Closed source

Qwen3-Coder 480B A35B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.

Qwen3-Coder 480B A35B Instruct is 10 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.0 years ago

Qwen3-Coder 480B A35B Instruct

Jan 31, 2025

1.2 years ago

9mo newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen3-Coder 480B A35B Instruct's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3-Coder 480B A35B Instruct's cutoff date.

GPT-4 Turbo

Dec 2023

Qwen3-Coder 480B A35B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct

FAQ

Common questions about GPT-4 Turbo vs Qwen3-Coder 480B A35B Instruct

GPT-4 Turbo (OpenAI) and Qwen3-Coder 480B A35B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Qwen3-Coder 480B A35B Instruct scores TAU-bench Retail: 77.5%, SWE-Bench Verified: 69.6%, BFCL-v3: 68.7%, Aider-Polyglot: 61.8%, TAU-bench Airline: 60.0%.
GPT-4 Turbo supports 128K tokens and Qwen3-Coder 480B A35B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-4 Turbo is developed by OpenAI and Qwen3-Coder 480B A35B Instruct is developed by Alibaba Cloud / Qwen Team.