Model Comparison

GPT-4o vs DeepSeek R1 Distill Llama 70B

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Llama 70B is 25.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Llama 70B is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, GPT-4o ($2.50/1M tokens) is 25.0x more expensive than DeepSeek R1 Distill Llama 70B ($0.10/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 25.0x more expensive than DeepSeek R1 Distill Llama 70B ($0.40/1M tokens).

In conclusion, GPT-4o is more expensive than DeepSeek R1 Distill Llama 70B.*

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

Lowest available price from all providers
Fri May 15 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while GPT-4o is limited to 16,384 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B 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

DeepSeek R1 Distill Llama 70B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while DeepSeek R1 Distill Llama 70B uses MIT.

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

GPT-4o

Proprietary

Closed source

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while DeepSeek R1 Distill Llama 70B was released on 2025-01-20.

DeepSeek R1 Distill Llama 70B is 6 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

1.8 years ago

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.3 years ago

5mo 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. DeepSeek R1 Distill Llama 70B is available from DeepInfra.

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

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Higher GPQA score (70.1% vs 65.2%)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2024 score (86.7% vs 13.1%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
DeepSeek
DeepSeek R1 Distill Llama 70B

FAQ

Common questions about GPT-4o vs DeepSeek R1 Distill Llama 70B.

Which is better, GPT-4o or DeepSeek R1 Distill Llama 70B?

Both models are evenly matched across the benchmarks. GPT-4o is made by OpenAI and DeepSeek R1 Distill Llama 70B is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o compare to DeepSeek R1 Distill Llama 70B in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%.

Is GPT-4o cheaper than DeepSeek R1 Distill Llama 70B?

DeepSeek R1 Distill Llama 70B is 25.0x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra.

What are the context window sizes for GPT-4o and DeepSeek R1 Distill Llama 70B?

GPT-4o supports 128K tokens and DeepSeek R1 Distill Llama 70B supports 128K 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 DeepSeek R1 Distill Llama 70B?

Key differences include input pricing ($2.50 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and DeepSeek R1 Distill Llama 70B?

GPT-4o is developed by OpenAI and DeepSeek R1 Distill Llama 70B is developed by DeepSeek.