DeepSeek R1 Distill Llama 70B vs GPT-6 Astra
GPT-6 Astra leads the LLM Stats Score 60.7 to 14.6. DeepSeek R1 Distill Llama 70B is 114.3x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 60.7 to 14.6, ranking #1 overall.
In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek R1 Distill Llama 70B is roughly 114.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra also accepts a larger context window (1,050,000 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 114.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose GPT-6 Astra
- overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
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 GPT-6 Astra
DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (GPQA).
GPT-6 Astra 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 100.0x cheaper than GPT-6 Astra ($10.00/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 125.0x cheaper than GPT-6 Astra ($50.00/1M tokens).
In conclusion, GPT-6 Astra 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
GPT-6 Astra accepts 1,050,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Astra supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.
GPT-6 Astra can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Llama 70B
GPT-6 Astra
License
Usage and distribution terms
DeepSeek R1 Distill Llama 70B is licensed under MIT, while GPT-6 Astra 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-6 Astra was released on 2026-09-03.
GPT-6 Astra is 20 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.6 years ago
Sep 3, 2026
0 days ago
1.6yr newerKnowledge Cutoff
When training data ends
GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.
We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.
—
Apr 2026
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. GPT-6 Astra is available from OpenAI.
DeepSeek R1 Distill Llama 70B
GPT-6 Astra
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Llama 70B and GPT-6 Astra side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs GPT-6 Astra.