Model Comparison

GPT-5.1 Codex High vs Qwen3-Coder

Comparing GPT-5.1 Codex High and Qwen3-Coder across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.1 Codex High 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

Qwen3-Coder costs less

For input processing, GPT-5.1 Codex High ($1.25/1M tokens) is 6.9x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, GPT-5.1 Codex High ($10.00/1M tokens) is 55.6x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, GPT-5.1 Codex High is more expensive than Qwen3-Coder.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
OpenAI
GPT-5.1 Codex High
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.1 Codex High accepts 400,000 input tokens compared to Qwen3-Coder's 256,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while GPT-5.1 Codex High is limited to 128,000 tokens.

OpenAI
GPT-5.1 Codex High
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.1 Codex High supports multimodal inputs, whereas Qwen3-Coder does not.

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

GPT-5.1 Codex High

Text
Images
Audio
Video

Qwen3-Coder

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex High 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.

GPT-5.1 Codex High

Proprietary

Closed source

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex High was released on 2025-11-12, while Qwen3-Coder was released on 2025-01-01.

GPT-5.1 Codex High is 11 months newer than Qwen3-Coder.

GPT-5.1 Codex High

Nov 12, 2025

5 months ago

10mo newer
Qwen3-Coder

Jan 1, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-5.1 Codex High is available from OpenAI. Qwen3-Coder is available from DeepInfra, Fireworks.

GPT-5.1 Codex High

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

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

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 High
Alibaba Cloud / Qwen Team
Qwen3-Coder

FAQ

Common questions about GPT-5.1 Codex High vs Qwen3-Coder

GPT-5.1 Codex High (OpenAI) and Qwen3-Coder (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-5.1 Codex High scores AIME 2025: 96.7%.
Qwen3-Coder is 6.9x cheaper for input tokens. GPT-5.1 Codex High costs $1.25/M input and $10.00/M output via openai. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.
GPT-5.1 Codex High supports 400K tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 256K), input pricing ($1.25 vs $0.18/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-5.1 Codex High is developed by OpenAI and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.