Compare the listed model data for DeepSeek-R1 Distill Qwen 7B by DeepSeek and DeepSeek-R1 Distill Llama 8B 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 Distill Qwen 7B: 128K tokens; DeepSeek-R1 Distill Llama 8B: 128K tokens. The listed context-window values are equal. DeepSeek-R1 Distill Qwen 7B is listed for reasoning; DeepSeek-R1 Distill Llama 8B is listed for reasoning. Shared catalog benchmark entries: AIME 2024: DeepSeek-R1 Distill Qwen 7B 55.5%; DeepSeek-R1 Distill Llama 8B 50.4%; MATH-500: DeepSeek-R1 Distill Qwen 7B 92.8%; DeepSeek-R1 Distill Llama 8B 89.1%; LiveCodeBench: DeepSeek-R1 Distill Qwen 7B 37.6%; DeepSeek-R1 Distill Llama 8B 35.8%. 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 7B and 8B; the larger quantity is 1.14× 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 Distill Qwen 7B if…
Choose DeepSeek-R1 Distill Qwen 7B when your task aligns with catalog-listed uses or strengths such as Mathematical tutoring, Science and engineering problem-solving on accessible hardware, 92.8% MATH-500 at 7B — comparable to GPT-4 from early 2024, Better reasoning than Qwen3 8B on math-specific tasks.
Choose DeepSeek-R1 Distill Llama 8B if…
Choose DeepSeek-R1 Distill Llama 8B when your task aligns with catalog-listed uses or strengths such as Personal reasoning on consumer hardware, Math tutoring apps on laptops, Edge AI reasoning in resource-constrained environments, Reasoning distilled from 671B R1 into 8B.
Catalog specifications for DeepSeek-R1 Distill Qwen 7B and DeepSeek-R1 Distill Llama 8B
Specification
DeepSeek-R1 Distill Qwen 7B
DeepSeek-R1 Distill Llama 8B
Provider
DeepSeek
DeepSeek
Parameters
7B
8B
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
MIT — free
MIT — free
Listed input/output cost per 1M tokens
Separate numeric input/output rates not listed
Separate numeric input/output rates not listed
License
MIT
MIT
Coding support
Not listed
Not listed
Reasoning support
Listed
Listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: AIME 2024
55.5%
50.4%
Benchmark: MATH-500
92.8%
89.1%
Benchmark: LiveCodeBench
37.6%
35.8%
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 Distill Qwen 7B and DeepSeek-R1 Distill Llama 8B?
DeepSeek-R1 Distill Qwen 7B: 128K tokens; DeepSeek-R1 Distill Llama 8B: 128K tokens. The listed context-window values are equal. DeepSeek-R1 Distill Qwen 7B is listed for reasoning; DeepSeek-R1 Distill Llama 8B is listed for reasoning. Shared catalog benchmark entries: AIME 2024: DeepSeek-R1 Distill Qwen 7B 55.5%; DeepSeek-R1 Distill Llama 8B 50.4%; MATH-500: DeepSeek-R1 Distill Qwen 7B 92.8%; DeepSeek-R1 Distill Llama 8B 89.1%; LiveCodeBench: DeepSeek-R1 Distill Qwen 7B 37.6%; DeepSeek-R1 Distill Llama 8B 35.8%. 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 Distill Qwen 7B and DeepSeek-R1 Distill Llama 8B?
AIME 2024: DeepSeek-R1 Distill Qwen 7B 55.5%; DeepSeek-R1 Distill Llama 8B 50.4%; MATH-500: DeepSeek-R1 Distill Qwen 7B 92.8%; DeepSeek-R1 Distill Llama 8B 89.1%; LiveCodeBench: DeepSeek-R1 Distill Qwen 7B 37.6%; DeepSeek-R1 Distill Llama 8B 35.8%. 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 Distill Qwen 7B: 128K tokens; DeepSeek-R1 Distill Llama 8B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for DeepSeek-R1 Distill Qwen 7B and DeepSeek-R1 Distill Llama 8B?
DeepSeek-R1 Distill Qwen 7B: Separate numeric input/output rates not listed (MIT — free). DeepSeek-R1 Distill Llama 8B: Separate numeric input/output rates not listed (MIT — free). 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 Distill Qwen 7B and DeepSeek-R1 Distill Llama 8B?
The catalog lists DeepSeek-R1 Distill Qwen 7B as January 2025 and DeepSeek-R1 Distill Llama 8B 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 Distill Qwen 7B and DeepSeek-R1 Distill Llama 8B?
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 Distill Qwen 7B and DeepSeek-R1 Distill Llama 8B on your actual tasks. No credit card, no API key, no subscriptions needed.