Model Comparison

GPT-5 nano vs Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. GPT-5 nano is 3.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5 nano outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 2 benchmarks (AIME 2025, GPQA).

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 nano costs less

For input processing, GPT-5 nano ($0.05/1M tokens) is 3.0x cheaper than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, GPT-5 nano ($0.40/1M tokens) is 3.8x cheaper than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, Qwen3-Next-80B-A3B-Thinking is more expensive than GPT-5 nano.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT-5 nano
Input tokens$0.05
Output tokens$0.40
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input tokens$0.15
Output tokens$1.50
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 nano accepts 400,000 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. GPT-5 nano can generate longer responses up to 128,000 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.

OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

GPT-5 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 nano

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 nano is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Thinking uses Apache 2.0.

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

GPT-5 nano

Proprietary

Closed source

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 nano was released on 2025-08-07, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 1 month newer than GPT-5 nano.

GPT-5 nano

Aug 7, 2025

8 months ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

7 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Qwen3-Next-80B-A3B-Thinking's cutoff date is not specified.

We can confirm GPT-5 nano's training data extends to 2024-05-30, but cannot make a direct comparison without Qwen3-Next-80B-A3B-Thinking's cutoff date.

GPT-5 nano

May 2024

Qwen3-Next-80B-A3B-Thinking

—

Provider Availability

GPT-5 nano is available from OpenAI. Qwen3-Next-80B-A3B-Thinking is available from Novita.

GPT-5 nano

openai logo
OpenAI
Input Price:Input: $0.05/1MOutput Price:Output: $0.40/1M

Qwen3-Next-80B-A3B-Thinking

novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team
Has open weights
Higher AIME 2025 score (87.8% vs 85.2%)
Higher GPQA score (77.2% vs 71.2%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5 nano
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about GPT-5 nano vs Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. GPT-5 nano is made by OpenAI and Qwen3-Next-80B-A3B-Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.
GPT-5 nano is 3.0x cheaper for input tokens. GPT-5 nano costs $0.05/M input and $0.40/M output via openai. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.
GPT-5 nano supports 400K tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 66K), input pricing ($0.05 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-5 nano is developed by OpenAI and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.