Model Comparison

Llama 3.1 8B Instruct vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is 5.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama 3.1 8B Instruct outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA).

QwQ-32B-Preview significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 5.0x cheaper than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 6.7x cheaper than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, QwQ-32B-Preview 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
Tue Apr 14 2026 • llm-stats.com
Meta
Llama 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

24.5B diff

QwQ-32B-Preview has 24.5B more parameters than Llama 3.1 8B Instruct, making it 306.3% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
32.5Bparameters
8.0B
Llama 3.1 8B Instruct
32.5B
QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Llama 3.1 8B Instruct accepts 131,072 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while QwQ-32B-Preview uses Apache 2.0.

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

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while QwQ-32B-Preview was released on 2024-11-28.

QwQ-32B-Preview is 4 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

1.7 years ago

QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

4mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a knowledge cutoff of 2023-12-31, while QwQ-32B-Preview has a cutoff of 2024-11-28.

QwQ-32B-Preview has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to Llama 3.1 8B Instruct (2023-12-31).

Llama 3.1 8B Instruct

Dec 2023

QwQ-32B-Preview

Nov 2024

11 mo newer

Provider Availability

Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

Llama 3.1 8B Instruct

lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
groq logo
Groq
Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M
sambanova logo
Sambanova
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Meta
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (65.2% vs 30.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 8B Instruct
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about Llama 3.1 8B Instruct vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is made by Meta and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
Llama 3.1 8B Instruct is 5.0x cheaper for input tokens. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
Llama 3.1 8B Instruct supports 131K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 33K), input pricing ($0.03 vs $0.15/M), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 3.1 8B Instruct is developed by Meta and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.