Model Comparison

o1-preview vs Qwen2.5 7B Instruct

o1-preview significantly outperforms across most benchmarks. Qwen2.5 7B Instruct is 87.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

o1-preview outperforms in 3 benchmarks (GPQA, LiveBench, MATH), while Qwen2.5 7B Instruct is better at 0 benchmarks.

o1-preview significantly outperforms across most benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, o1-preview ($15.00/1M tokens) is 50.0x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, o1-preview ($60.00/1M tokens) is 200.0x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, o1-preview is more expensive than Qwen2.5 7B Instruct.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
OpenAI
o1-preview
Input tokens$15.00
Output tokens$60.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
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

Qwen2.5 7B Instruct accepts 131,072 input tokens compared to o1-preview's 128,000 tokens. o1-preview can generate longer responses up to 32,768 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

o1-preview 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.

o1-preview

Proprietary

Closed source

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-preview was released on 2024-09-12, while Qwen2.5 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 0 month newer than o1-preview.

o1-preview

Sep 12, 2024

1.6 years ago

Qwen2.5 7B Instruct

Sep 19, 2024

1.6 years ago

1w 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

o1-preview is available from OpenAI, Azure. Qwen2.5 7B Instruct is available from Together.

o1-preview

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
azure logo
Azure
Input Price:Input: $16.50/1MOutput Price:Output: $66.00/1M

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Higher GPQA score (73.3% vs 36.4%)
Higher LiveBench score (52.3% vs 35.9%)
Higher MATH score (85.5% vs 75.5%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1-preview
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about o1-preview vs Qwen2.5 7B Instruct

o1-preview significantly outperforms across most benchmarks. o1-preview 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.
o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Qwen2.5 7B Instruct is 50.0x cheaper for input tokens. o1-preview costs $15.00/M input and $60.00/M output via openai. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
o1-preview supports 128K 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.
Key differences include context window (128K vs 131K), input pricing ($15.00 vs $0.30/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
o1-preview is developed by OpenAI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.