Model Comparison
Llama 3.3 70B Instruct vs QwQ-32B-PreviewWhich is better in 2026?
QwQ-32B-Preview significantly outperforms across most benchmarks. QwQ-32B-Preview is 1.2x cheaper per token.
Verdict: Llama 3.3 70B Instruct vs QwQ-32B-Preview — which is better?
Llama 3.3 70B Instruct (by Meta) and QwQ-32B-Preview (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Llama 3.3 70B Instruct outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA). QwQ-32B-Preview significantly outperforms across most benchmarks.
On price, QwQ-32B-Preview is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.3 70B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Llama 3.3 70B Instruct if…
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Dec 2024
Choose QwQ-32B-Preview if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.2x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.3 70B Instruct outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA).
QwQ-32B-Preview significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 1.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Llama 3.3 70B Instruct ($0.20/1M tokens) costs the same as QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Llama 3.3 70B Instruct is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 3.3 70B Instruct has 37.5B more parameters than QwQ-32B-Preview, making it 115.4% larger.
Context Window
Maximum input and output token capacity
Llama 3.3 70B Instruct accepts 128,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
License
Usage and distribution terms
Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, 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 3.3 Community License Agreement
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.3 70B Instruct was released on 2024-12-06, while QwQ-32B-Preview was released on 2024-11-28.
Llama 3.3 70B Instruct is 0 month newer than QwQ-32B-Preview.
Dec 6, 2024
1.6 years ago
1w newerNov 28, 2024
1.6 years ago
Knowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Llama 3.3 70B Instruct's cutoff date is not specified.
We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.
—
Nov 2024
Provider Availability
Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Llama 3.3 70B Instruct
QwQ-32B-Preview
Outputs Comparison
Key Takeaways
QwQ-32B-Preview
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Llama 3.3 70B Instruct and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Llama 3.3 70B Instruct vs QwQ-32B-Preview.