DeepSeek R1 Distill Qwen 32B vs Llama 3.1 8B Instruct

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.2 to -2.5. Llama 3.1 8B Instruct is 4.5x cheaper per token.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B leads the overall LLM Stats Score 13.2 to -2.5, ranking #236 overall.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.1 8B Instruct is roughly 4.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 3.1 8B Instruct also accepts a larger context window (131,072 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 Qwen 32B

overall performance matters — it scores 13.2 and ranks #236 on LLM Stats
your work emphasizes reasoning — it leads those capability indexes
you value its reported benchmark strengths — it wins 1 of 1 exact shared results
you want the most recent training data — it shipped Jan 2025

Choose Llama 3.1 8B Instruct

cost matters — it's about 4.5x cheaper per token
you process long inputs — it offers a 131,072 token context window

At a glance

The differences that matter most.

Better token value: Llama 3.1 8B Instruct

DeepSeek R1 Distill Qwen 32B

DeepSeek

Llama 3.1 8B Instruct

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

DeepSeek R1 Distill Qwen 32B

Llama 3.1 8B Instruct

Math

15.2#209 · 2 evals

-2.1#302 · 6 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 18 for Llama 3.1 8B Instruct

1 shared

DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Llama 3.1 8B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 4.0x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 6.0x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

In conclusion, DeepSeek R1 Distill Qwen 32B is more expensive than Llama 3.1 8B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Mon Sep 07 2026 • llm-stats.com

DeepSeek R1 Distill Qwen 32B

Input tokens$0.12

Output tokens$0.18

Best providerDeepinfra

Llama 3.1 8B Instruct

Input tokens$0.03

Output tokens$0.03

Best providerLambda

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

24.8B diff

DeepSeek R1 Distill Qwen 32B has 24.8B more parameters than Llama 3.1 8B Instruct, making it 310.0% larger.

DeepSeek R1 Distill Qwen 32B

32.8Bparameters

Llama 3.1 8B Instruct

8.0Bparameters

32.8B

DeepSeek R1 Distill Qwen 32B

8.0B

Llama 3.1 8B Instruct

Context Window

Maximum input and output token capacity

Llama 3.1 8B Instruct accepts 131,072 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.

DeepSeek R1 Distill Qwen 32B

Input128,000 tokens

Output128,000 tokens

Llama 3.1 8B Instruct

Input131,072 tokens

Output131,072 tokens

Mon Sep 07 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B is licensed under MIT, while Llama 3.1 8B Instruct uses Llama 3.1 Community License.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while Llama 3.1 8B Instruct was released on 2024-07-23.

DeepSeek R1 Distill Qwen 32B is 6 months newer than Llama 3.1 8B Instruct.

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.6 years ago

6mo newer

Llama 3.1 8B Instruct

Jul 23, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while DeepSeek R1 Distill Qwen 32B's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

—

Llama 3.1 8B Instruct

Dec 2023

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock.

DeepSeek R1 Distill Qwen 32B

Deepinfra

Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

Llama 3.1 8B Instruct

Lambda

Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M

Deepinfra

Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M

Groq

Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M

Sambanova

Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M

Cerebras

Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M

Hyperbolic

Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M

Together

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Fireworks

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

AWS Bedrock

Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 32B and Llama 3.1 8B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B

✓ Preferred

Llama 3.1 8B Instruct

Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Llama 3.1 8B Instruct.

Which is better, DeepSeek R1 Distill Qwen 32B or Llama 3.1 8B Instruct?

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.2 to -2.5. DeepSeek R1 Distill Qwen 32B is made by DeepSeek and Llama 3.1 8B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 32B compare to Llama 3.1 8B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%.

Is DeepSeek R1 Distill Qwen 32B cheaper than Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct is 4.0x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda.

What are the context window sizes for DeepSeek R1 Distill Qwen 32B and Llama 3.1 8B Instruct?

DeepSeek R1 Distill Qwen 32B supports 128K tokens and Llama 3.1 8B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 32B and Llama 3.1 8B Instruct?

Key differences include LLM Stats Score (13.2 vs -2.5), context window (128K vs 131K), input pricing ($0.12 vs $0.03/M), licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 32B and Llama 3.1 8B Instruct?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Llama 3.1 8B Instruct is developed by Meta.

DeepSeek R1 Distill Qwen 32B vs Llama 3.1 8B Instruct