Compare the listed model data for DeepSeek-R1 by DeepSeek and DeepSeek-R1 Distill Llama 70B by DeepSeek. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
DeepSeek-R1: 128K tokens; DeepSeek-R1 Distill Llama 70B: 128K tokens. The listed context-window values are equal. DeepSeek-R1 is listed for coding, reasoning, long-context tasks; DeepSeek-R1 Distill Llama 70B is listed for coding, reasoning, long-context tasks. Shared catalog benchmark entries: MATH-500: DeepSeek-R1 97.3%; DeepSeek-R1 Distill Llama 70B 94.5%; AIME 2024: DeepSeek-R1 79.8%; DeepSeek-R1 Distill Llama 70B 70.0%; GPQA Diamond: DeepSeek-R1 71.5%; DeepSeek-R1 Distill Llama 70B 65.2%; LiveCodeBench: DeepSeek-R1 65.9%; DeepSeek-R1 Distill Llama 70B 55.6%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The first listed parameter quantities are 671B total (37B active via MoE) and 70B; the larger quantity is 9.59× the smaller. Total and active MoE parameters are not directly equivalent.
The catalog release dates are January 2025 and January 2025, about 0 months apart at the precision supplied.
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose DeepSeek-R1 if…
Choose DeepSeek-R1 when your task aligns with catalog-listed uses or strengths such as Competition mathematics and proof verification, Advanced software engineering: debugging complex systems, production-grade algorithms, Scientific research in physics, chemistry, biology, Enterprise AI agents needing transparent, auditable reasoning.
Choose DeepSeek-R1 Distill Llama 70B if…
Choose DeepSeek-R1 Distill Llama 70B when your task aligns with catalog-listed uses or strengths such as Teams needing reasoning on Llama-compatible infrastructure, Mathematical and scientific research, Enterprise deployments using Llama toolchain, Llama base — benefits from entire Llama ecosystem of tools and fine-tuning infra.
Feature Comparison — DeepSeek-R1 vs DeepSeek-R1 Distill Llama 70B
Catalog specifications for DeepSeek-R1 and DeepSeek-R1 Distill Llama 70B
Specification
DeepSeek-R1
DeepSeek-R1 Distill Llama 70B
Provider
DeepSeek
DeepSeek
Parameters
671B total (37B active via MoE)
70B
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Open source MIT license — free to self-host. DeepSeek API: $0.14/MTok input (cache hit), $0.55/MTok input, $2.19/MTok output
MIT — free. Third-party API ~$0.50-0.90/MTok
Listed input/output cost per 1M tokens
input $0.55, output $2.19 per 1M tokens
Separate numeric input/output rates not listed
License
MIT
MIT
Coding support
Listed
Listed
Reasoning support
Listed
Listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MATH-500
97.3%
94.5%
Benchmark: AIME 2024
79.8%
70.0%
Benchmark: GPQA Diamond
71.5%
65.2%
Benchmark: LiveCodeBench
65.9%
55.6%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between DeepSeek-R1 and DeepSeek-R1 Distill Llama 70B?
DeepSeek-R1: 128K tokens; DeepSeek-R1 Distill Llama 70B: 128K tokens. The listed context-window values are equal. DeepSeek-R1 is listed for coding, reasoning, long-context tasks; DeepSeek-R1 Distill Llama 70B is listed for coding, reasoning, long-context tasks. Shared catalog benchmark entries: MATH-500: DeepSeek-R1 97.3%; DeepSeek-R1 Distill Llama 70B 94.5%; AIME 2024: DeepSeek-R1 79.8%; DeepSeek-R1 Distill Llama 70B 70.0%; GPQA Diamond: DeepSeek-R1 71.5%; DeepSeek-R1 Distill Llama 70B 65.2%; LiveCodeBench: DeepSeek-R1 65.9%; DeepSeek-R1 Distill Llama 70B 55.6%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for DeepSeek-R1 and DeepSeek-R1 Distill Llama 70B?
MATH-500: DeepSeek-R1 97.3%; DeepSeek-R1 Distill Llama 70B 94.5%; AIME 2024: DeepSeek-R1 79.8%; DeepSeek-R1 Distill Llama 70B 70.0%; GPQA Diamond: DeepSeek-R1 71.5%; DeepSeek-R1 Distill Llama 70B 65.2%; LiveCodeBench: DeepSeek-R1 65.9%; DeepSeek-R1 Distill Llama 70B 55.6%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
DeepSeek-R1: 128K tokens; DeepSeek-R1 Distill Llama 70B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for DeepSeek-R1 and DeepSeek-R1 Distill Llama 70B?
DeepSeek-R1: input $0.55, output $2.19 per 1M tokens (Open source MIT license — free to self-host. DeepSeek API: $0.14/MTok input (cache hit), $0.55/MTok input, $2.19/MTok output). DeepSeek-R1 Distill Llama 70B: Separate numeric input/output rates not listed (MIT — free. Third-party API ~$0.50-0.90/MTok). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for DeepSeek-R1 and DeepSeek-R1 Distill Llama 70B?
The catalog lists DeepSeek-R1 as January 2025 and DeepSeek-R1 Distill Llama 70B as January 2025, about 0 months apart at the precision supplied.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between DeepSeek-R1 and DeepSeek-R1 Distill Llama 70B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.
Create your free LITHOVEX account and compare DeepSeek-R1 and DeepSeek-R1 Distill Llama 70B on your actual tasks. No credit card, no API key, no subscriptions needed.