Model Comparison

GPT-5 nano vs Qwen2.5 7B Instruct

GPT-5 nano significantly outperforms across most benchmarks. GPT-5 nano is 2.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5 nano outperforms in 1 benchmarks (GPQA), while Qwen2.5 7B Instruct is better at 0 benchmarks.

GPT-5 nano significantly outperforms across most benchmarks.

Sat May 09 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 6.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, GPT-5 nano ($0.40/1M tokens) is 1.3x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Qwen2.5 7B Instruct is more expensive than GPT-5 nano.*

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

Lowest available price from all providers

Sat May 09 2026 • llm-stats.com

GPT-5 nano

Input tokens$0.05

Output tokens$0.40

Best providerOpenAI

Qwen2.5 7B Instruct

Input tokens$0.30

Output tokens$0.30

Best providerTogether

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 Qwen2.5 7B Instruct's 131,072 tokens. GPT-5 nano can generate longer responses up to 128,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

GPT-5 nano

Input400,000 tokens

Output128,000 tokens

Qwen2.5 7B Instruct

Input131,072 tokens

Output8,192 tokens

Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 nano supports multimodal inputs, whereas Qwen2.5 7B Instruct 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

Qwen2.5 7B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-5 nano is licensed under a proprietary license, while Qwen2.5 7B Instruct 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

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 nano was released on 2025-08-07, while Qwen2.5 7B Instruct was released on 2024-09-19.

GPT-5 nano is 11 months newer than Qwen2.5 7B Instruct.

GPT-5 nano

Aug 7, 2025

9 months ago

10mo newer

Qwen2.5 7B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-5 nano has a documented knowledge cutoff of 2024-05-30, while Qwen2.5 7B Instruct'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 Qwen2.5 7B Instruct's cutoff date.

GPT-5 nano

May 2024

Qwen2.5 7B Instruct

—

Provider Availability

GPT-5 nano is available from OpenAI. Qwen2.5 7B Instruct is available from Together.

GPT-5 nano

OpenAI

Input Price:Input: $0.05/1MOutput Price:Output: $0.40/1M

Qwen2.5 7B Instruct

Together

Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

GPT-5 nano

View details

OpenAI

Larger context window (400,000 tokens)

Supports multimodal inputs

Less expensive input tokens

Higher GPQA score (71.2% vs 36.4%)

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	GPT-5 nano	Qwen2.5 7B Instruct

FAQ

Common questions about GPT-5 nano vs Qwen2.5 7B Instruct.

Which is better, GPT-5 nano or Qwen2.5 7B Instruct?

GPT-5 nano significantly outperforms across most benchmarks. GPT-5 nano is made by OpenAI and Qwen2.5 7B Instruct 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 nano compare to Qwen2.5 7B Instruct in benchmarks?

GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

Is GPT-5 nano cheaper than Qwen2.5 7B Instruct?

GPT-5 nano is 6.0x cheaper for input tokens. GPT-5 nano costs $0.05/M input and $0.40/M output via openai. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.

What are the context window sizes for GPT-5 nano and Qwen2.5 7B Instruct?

GPT-5 nano supports 400K tokens and Qwen2.5 7B Instruct supports 131K 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 nano and Qwen2.5 7B Instruct?

Key differences include context window (400K vs 131K), input pricing ($0.05 vs $0.30/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 nano and Qwen2.5 7B Instruct?

GPT-5 nano is developed by OpenAI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.