Compare the listed model data for DeepSeek-R1 Distill Qwen 32B 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 Distill Qwen 32B: 128K tokens; DeepSeek-R1 Distill Llama 70B: 128K tokens. The listed context-window values are equal. DeepSeek-R1 Distill Qwen 32B 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: AIME 2024: DeepSeek-R1 Distill Qwen 32B 72.6%; DeepSeek-R1 Distill Llama 70B 70.0%; MATH-500: DeepSeek-R1 Distill Qwen 32B 94.3%; DeepSeek-R1 Distill Llama 70B 94.5%; GPQA Diamond: DeepSeek-R1 Distill Qwen 32B 62.1%; DeepSeek-R1 Distill Llama 70B 65.2%; LiveCodeBench: DeepSeek-R1 Distill Qwen 32B 57.2%; 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 32B and 70B; the larger quantity is 2.19× 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 32B if…
Choose DeepSeek-R1 Distill Qwen 32B when your task aligns with catalog-listed uses or strengths such as Mathematical reasoning on accessible hardware, Reasoning enterprise applications that cannot afford 671B infrastructure, Best reasoning at 32B scale — distilled from 671B R1 teacher, 94.3% MATH-500 — exceptional mathematical reasoning at 32B.
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.
Catalog specifications for DeepSeek-R1 Distill Qwen 32B and DeepSeek-R1 Distill Llama 70B
Specification
DeepSeek-R1 Distill Qwen 32B
DeepSeek-R1 Distill Llama 70B
Provider
DeepSeek
DeepSeek
Parameters
32B
70B
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
MIT — free. Third-party API ~$0.14-0.30/MTok
MIT — free. Third-party API ~$0.50-0.90/MTok
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
Listed
Listed
Reasoning support
Listed
Listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: AIME 2024
72.6%
70.0%
Benchmark: MATH-500
94.3%
94.5%
Benchmark: GPQA Diamond
62.1%
65.2%
Benchmark: LiveCodeBench
57.2%
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 Distill Qwen 32B and DeepSeek-R1 Distill Llama 70B?
DeepSeek-R1 Distill Qwen 32B: 128K tokens; DeepSeek-R1 Distill Llama 70B: 128K tokens. The listed context-window values are equal. DeepSeek-R1 Distill Qwen 32B 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: AIME 2024: DeepSeek-R1 Distill Qwen 32B 72.6%; DeepSeek-R1 Distill Llama 70B 70.0%; MATH-500: DeepSeek-R1 Distill Qwen 32B 94.3%; DeepSeek-R1 Distill Llama 70B 94.5%; GPQA Diamond: DeepSeek-R1 Distill Qwen 32B 62.1%; DeepSeek-R1 Distill Llama 70B 65.2%; LiveCodeBench: DeepSeek-R1 Distill Qwen 32B 57.2%; 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 Distill Qwen 32B and DeepSeek-R1 Distill Llama 70B?
AIME 2024: DeepSeek-R1 Distill Qwen 32B 72.6%; DeepSeek-R1 Distill Llama 70B 70.0%; MATH-500: DeepSeek-R1 Distill Qwen 32B 94.3%; DeepSeek-R1 Distill Llama 70B 94.5%; GPQA Diamond: DeepSeek-R1 Distill Qwen 32B 62.1%; DeepSeek-R1 Distill Llama 70B 65.2%; LiveCodeBench: DeepSeek-R1 Distill Qwen 32B 57.2%; 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 Distill Qwen 32B: 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 Distill Qwen 32B and DeepSeek-R1 Distill Llama 70B?
DeepSeek-R1 Distill Qwen 32B: Separate numeric input/output rates not listed (MIT — free. Third-party API ~$0.14-0.30/MTok). 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 Distill Qwen 32B and DeepSeek-R1 Distill Llama 70B?
The catalog lists DeepSeek-R1 Distill Qwen 32B 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 Distill Qwen 32B 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.
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