DeepSeek R1 Distill Llama 70B vs GPT-4o mini
DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.7 to 3.9. DeepSeek R1 Distill Llama 70B is 1.5x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.7 to 3.9, ranking #222 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek R1 Distill Llama 70B is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- overall performance matters — it scores 14.7 and ranks #222 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.5x cheaper per token
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Choose GPT-4o mini
- you want predictable pricing at $0.15/M input and $0.60/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Llama 70B · 9 for GPT-4o mini
DeepSeek R1 Distill Llama 70B outperforms in 1 benchmarks (GPQA), while GPT-4o mini is better at 0 benchmarks.
DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 1.5x cheaper than GPT-4o mini ($0.15/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 1.5x cheaper than GPT-4o mini ($0.60/1M tokens).
In conclusion, GPT-4o mini is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
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 mini is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
GPT-4o mini
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT-4o mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GPT-4o mini was released on 2024-07-18.
DeepSeek R1 Distill Llama 70B is 6 months newer than GPT-4o mini.
Jan 20, 2025
1.6 years ago
6mo newerJul 18, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
—
Oct 2023
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-4o mini is available from Azure.
DeepSeek R1 Distill Llama 70B
GPT-4o mini
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and GPT-4o mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs GPT-4o mini.