Model Comparison

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

GPT-5 mini significantly outperforms across most benchmarks. Qwen3-Next-80B-A3B-Thinking is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

GPT-5 mini significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Next-80B-A3B-Thinking costs less

For input processing, GPT-5 mini ($0.25/1M tokens) is 1.7x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, GPT-5 mini ($2.00/1M tokens) is 1.3x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

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

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

Lowest available price from all providers

Sat May 30 2026 • llm-stats.com

GPT-5 mini

Input tokens$0.25

Output tokens$2.00

Best providerOpenAI

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

GPT-5 mini

Input400,000 tokens

Output128,000 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-5 mini

Text

Images

Audio

Video

Qwen3-Next-80B-A3B-Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-5 mini 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 mini

Proprietary

Closed source

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 mini 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 mini.

GPT-5 mini

Aug 7, 2025

9 months ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5 mini 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 mini'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 mini

May 2024

Qwen3-Next-80B-A3B-Thinking

—

Provider Availability

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

GPT-5 mini

OpenAI

Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M

Qwen3-Next-80B-A3B-Thinking

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

GPT-5 mini

View details

OpenAI

Larger context window (400,000 tokens)

Supports multimodal inputs

Higher AIME 2025 score (91.1% vs 87.8%)

Higher GPQA score (82.3% vs 77.2%)

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	GPT-5 mini	Qwen3-Next-80B-A3B-Thinking

FAQ

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

Which is better, GPT-5 mini or Qwen3-Next-80B-A3B-Thinking?

GPT-5 mini significantly outperforms across most benchmarks. GPT-5 mini 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.

How does GPT-5 mini compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Is GPT-5 mini cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 1.7x cheaper for input tokens. GPT-5 mini costs $0.25/M input and $2.00/M output via openai. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

What are the context window sizes for GPT-5 mini and Qwen3-Next-80B-A3B-Thinking?

GPT-5 mini 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.

What are the main differences between GPT-5 mini and Qwen3-Next-80B-A3B-Thinking?

Key differences include context window (400K vs 66K), input pricing ($0.25 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.

Who makes GPT-5 mini and Qwen3-Next-80B-A3B-Thinking?

GPT-5 mini is developed by OpenAI and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.