Model Comparison

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

Qwen3-Next-80B-A3B-Instruct shows notably better performance in the majority of benchmarks. Qwen3-Next-80B-A3B-Instruct is 9.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

GPT-4o outperforms in 2 benchmarks (Tau2 Retail, Tau2 Telecom), while Qwen3-Next-80B-A3B-Instruct is better at 7 benchmarks (Aider-Polyglot, GPQA, IFEval, MMLU-Pro, Multi-IF, TAU-bench Airline, TAU-bench Retail).

Qwen3-Next-80B-A3B-Instruct shows notably better performance in the majority of benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

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

For input processing, GPT-4o ($2.50/1M tokens) is 16.7x more expensive than Qwen3-Next-80B-A3B-Instruct ($0.15/1M tokens).

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

In conclusion, GPT-4o is more expensive than Qwen3-Next-80B-A3B-Instruct.*

* 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-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
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-Instruct's 65,536 tokens. Qwen3-Next-80B-A3B-Instruct can generate longer responses up to 65,536 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input65,536 tokens
Output65,536 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Instruct 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-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Instruct 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-Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.

Qwen3-Next-80B-A3B-Instruct is 13 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.7 years ago

Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

7 months ago

1.1yr 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-Instruct is available from Novita.

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Qwen3-Next-80B-A3B-Instruct

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

Larger context window (128,000 tokens)
Supports multimodal inputs
Higher Tau2 Retail score (63.4% vs 57.3%)
Higher Tau2 Telecom score (23.5% vs 13.2%)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher Aider-Polyglot score (49.8% vs 30.7%)
Higher GPQA score (72.9% vs 70.1%)
Higher IFEval score (87.6% vs 81.0%)
Higher MMLU-Pro score (80.6% vs 74.7%)
Higher Multi-IF score (75.8% vs 60.9%)
Higher TAU-bench Airline score (44.0% vs 42.8%)
Higher TAU-bench Retail score (60.9% vs 60.3%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct

FAQ

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

Qwen3-Next-80B-A3B-Instruct shows notably better performance in the majority of benchmarks. GPT-4o is made by OpenAI and Qwen3-Next-80B-A3B-Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Qwen3-Next-80B-A3B-Instruct scores MMLU-Redux: 90.9%, MultiPL-E: 87.8%, IFEval: 87.6%, WritingBench: 87.3%, Creative Writing v3: 85.3%.
Qwen3-Next-80B-A3B-Instruct 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-Instruct costs $0.15/M input and $1.50/M output via novita.
GPT-4o supports 128K tokens and Qwen3-Next-80B-A3B-Instruct supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
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.
GPT-4o is developed by OpenAI and Qwen3-Next-80B-A3B-Instruct is developed by Alibaba Cloud / Qwen Team.