Model Comparison

GPT-5.1 Codex vs Qwen2.5-Coder 32B Instruct

Comparing GPT-5.1 Codex and Qwen2.5-Coder 32B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.1 Codex and Qwen2.5-Coder 32B 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

Qwen2.5-Coder 32B Instruct costs less

For input processing, GPT-5.1 Codex ($1.25/1M tokens) is 13.9x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, GPT-5.1 Codex ($10.00/1M tokens) is 111.1x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, GPT-5.1 Codex is more expensive than Qwen2.5-Coder 32B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun May 10 2026 • llm-stats.com
OpenAI
GPT-5.1 Codex
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.1 Codex accepts 400,000 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.1 Codex
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Codex supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.

GPT-5.1 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.1 Codex

Text
Images
Audio
Video

Qwen2.5-Coder 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex is licensed under a proprietary license, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

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

GPT-5.1 Codex

Proprietary

Closed source

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex was released on 2025-11-19, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

GPT-5.1 Codex is 14 months newer than Qwen2.5-Coder 32B Instruct.

GPT-5.1 Codex

Nov 19, 2025

5 months ago

1.2yr newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-5.1 Codex has a documented knowledge cutoff of 2024-09-30, while Qwen2.5-Coder 32B Instruct's cutoff date is not specified.

We can confirm GPT-5.1 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen2.5-Coder 32B Instruct's cutoff date.

GPT-5.1 Codex

Sep 2024

Qwen2.5-Coder 32B Instruct

—

Provider Availability

GPT-5.1 Codex is available from OpenAI. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

GPT-5.1 Codex

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen2.5-Coder 32B Instruct

lambda logo
Lambda
Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.1 Codex
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct

FAQ

Common questions about GPT-5.1 Codex vs Qwen2.5-Coder 32B Instruct.

Which is better, GPT-5.1 Codex or Qwen2.5-Coder 32B Instruct?

GPT-5.1 Codex (OpenAI) and Qwen2.5-Coder 32B 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.

How does GPT-5.1 Codex compare to Qwen2.5-Coder 32B Instruct in benchmarks?

GPT-5.1 Codex scores SWE-Bench Verified: 73.7%, SWE-Lancer: 66.3%, Terminal-Bench 2.0: 52.8%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

Is GPT-5.1 Codex cheaper than Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct is 13.9x cheaper for input tokens. GPT-5.1 Codex costs $1.25/M input and $10.00/M output via openai. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.

What are the context window sizes for GPT-5.1 Codex and Qwen2.5-Coder 32B Instruct?

GPT-5.1 Codex supports 400K tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.1 Codex and Qwen2.5-Coder 32B Instruct?

Key differences include context window (400K vs 128K), input pricing ($1.25 vs $0.09/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Codex and Qwen2.5-Coder 32B Instruct?

GPT-5.1 Codex is developed by OpenAI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.