DeepSeek R1 Distill Llama 70B vs o3
o3 leads the LLM Stats Score 31.1 to 14.6. DeepSeek R1 Distill Llama 70B is 20.0x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
o3 leads the overall LLM Stats Score 31.1 to 14.6, ranking #105 overall.
In the 2 individual benchmarks reported for both models, o3 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek R1 Distill Llama 70B is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o3 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Llama 70B
- cost matters — it's about 20.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose o3
- overall performance matters — it scores 31.1 and ranks #105 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Apr 2025
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 · 22 for o3
DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while o3 is better at 2 benchmarks (AIME 2024, GPQA).
o3 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 20.0x cheaper than o3 ($2.00/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 20.0x cheaper than o3 ($8.00/1M tokens).
In conclusion, o3 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
o3 accepts 200,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while o3 is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
o3 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
o3
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while o3 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 o3 was released on 2025-04-16.
o3 is 3 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.6 years ago
Apr 16, 2025
1.4 years ago
2mo newerKnowledge Cutoff
When training data ends
o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
—
May 2024
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. o3 is available from OpenAI.
DeepSeek R1 Distill Llama 70B
o3
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and o3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs o3.