Model Comparison

GPT-4.1 vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Instruct-2507 is 11.2x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-4.1 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 5 benchmarks (Aider-Polyglot, AIME 2025, GPQA, IFEval, Multi-IF).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Instruct-2507 costs less

For input processing, GPT-4.1 ($2.00/1M tokens) is 13.3x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, GPT-4.1 ($8.00/1M tokens) is 10.0x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, GPT-4.1 is more expensive than Qwen3-235B-A22B-Instruct-2507.*

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

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
OpenAI
GPT-4.1
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 accepts 1,047,576 input tokens compared to Qwen3-235B-A22B-Instruct-2507's 262,144 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while GPT-4.1 is limited to 32,768 tokens.

OpenAI
GPT-4.1
Input1,047,576 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4.1

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.1 is licensed under a proprietary license, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

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

GPT-4.1

Proprietary

Closed source

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.1 was released on 2025-04-14, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 3 months newer than GPT-4.1.

GPT-4.1

Apr 14, 2025

1.0 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

9 months ago

3mo newer

Knowledge Cutoff

When training data ends

GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Qwen3-235B-A22B-Instruct-2507's cutoff date is not specified.

We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3-235B-A22B-Instruct-2507's cutoff date.

GPT-4.1

Jun 2024

Qwen3-235B-A22B-Instruct-2507

—

Provider Availability

GPT-4.1 is available from OpenAI. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.

GPT-4.1

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Qwen3-235B-A22B-Instruct-2507

fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Aider-Polyglot score (57.3% vs 51.6%)
Higher AIME 2025 score (70.3% vs 46.4%)
Higher GPQA score (77.5% vs 66.3%)
Higher IFEval score (88.7% vs 87.4%)
Higher Multi-IF score (77.5% vs 70.8%)
OpenAIGPT-4.1
Alibaba Cloud / Qwen TeamQwen3-235B-A22B-Instruct-2507
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4.1
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about GPT-4.1 vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. GPT-4.1 is made by OpenAI and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4.1 scores MMLU: 90.2%, CharXiv-D: 87.9%, IFEval: 87.4%, MMMLU: 87.3%, MMMU: 74.8%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.
Qwen3-235B-A22B-Instruct-2507 is 13.3x cheaper for input tokens. GPT-4.1 costs $2.00/M input and $8.00/M output via openai. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks.
GPT-4.1 supports 1.0M tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 262K), input pricing ($2.00 vs $0.15/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-4.1 is developed by OpenAI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.