Model Comparison

GPT-4o vs Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. Qwen3-Next-80B-A3B-Thinking is 9.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 2 benchmarks (GPQA, MMLU-Pro).

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

Mon May 25 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-4o ($2.50/1M tokens) is 16.7x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 6.7x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, GPT-4o 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

Mon May 25 2026 • llm-stats.com

GPT-4o

Input tokens$2.50

Output tokens$10.00

Best providerAzure

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-4o accepts 128,000 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Qwen3-Next-80B-A3B-Thinking can generate longer responses up to 65,536 tokens, while GPT-4o is limited to 4,096 tokens.

GPT-4o

Input128,000 tokens

Output4,096 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text

Images

Audio

Video

Qwen3-Next-80B-A3B-Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4o 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-4o

Proprietary

Closed source

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-05-13, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 16 months newer than GPT-4o.

GPT-4o

May 13, 2024

2.0 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

1.3yr newer

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-4o is available from Azure, OpenAI. Qwen3-Next-80B-A3B-Thinking is available from Novita.

GPT-4o

Azure

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

OpenAI

Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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

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Key Takeaways

GPT-4o

View details

OpenAI

Larger context window (128,000 tokens)

Supports multimodal inputs

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher GPQA score (77.2% vs 53.6%)

Higher MMLU-Pro score (82.7% vs 72.6%)

GPT-4o

Qwen3-Next-80B-A3B-Thinking

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Detailed Comparison

AI Model Comparison Table
Feature	GPT-4o	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about GPT-4o vs Qwen3-Next-80B-A3B-Thinking.

Which is better, GPT-4o or Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. GPT-4o 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-4o compare to Qwen3-Next-80B-A3B-Thinking in benchmarks?

GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%. 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-4o cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 16.7x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. 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-4o and Qwen3-Next-80B-A3B-Thinking?

GPT-4o supports 128K 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-4o and Qwen3-Next-80B-A3B-Thinking?

Key differences include context window (128K vs 66K), input pricing ($2.50 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-4o and Qwen3-Next-80B-A3B-Thinking?

GPT-4o is developed by OpenAI and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.