Model Comparison

DeepSeek R1 Distill Qwen 7B vs GPT-4o

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (AIME 2024), while GPT-4o is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Sun Mar 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sun Mar 29 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Sun Mar 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

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

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

GPT-4o

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while GPT-4o uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while GPT-4o was released on 2024-08-06.

DeepSeek R1 Distill Qwen 7B is 6 months newer than GPT-4o.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.2 years ago

5mo newer
GPT-4o

Aug 6, 2024

1.6 years ago

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Has open weights
Higher AIME 2024 score (83.3% vs 13.1%)
OpenAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher GPQA score (70.1% vs 49.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 7B
OpenAI
GPT-4o

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs GPT-4o

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and GPT-4o is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%.
DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and GPT-4o supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and GPT-4o is developed by OpenAI.