Model Comparison
Llama 3.3 70B Instruct vs Qwen2.5 72B InstructWhich is better in 2026?
Llama 3.3 70B Instruct has a slight edge in benchmark performance. Llama 3.3 70B Instruct is 1.8x cheaper per token.
Verdict: Llama 3.3 70B Instruct vs Qwen2.5 72B Instruct — which is better?
Llama 3.3 70B Instruct (by Meta) and Qwen2.5 72B Instruct (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 3 benchmarks (GPQA, HumanEval, IFEval), while Qwen2.5 72B Instruct is better at 2 benchmarks (MATH, MMLU-Pro). Llama 3.3 70B Instruct has a slight edge in benchmark performance.
On price, Llama 3.3 70B Instruct is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen2.5 72B Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose Llama 3.3 70B Instruct if…
- you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
- cost matters — it's about 1.8x cheaper per token
- you want the most recent training data — it shipped Dec 2024
Choose Qwen2.5 72B Instruct if…
- you process long inputs — it offers a 131,072 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.3 70B Instruct outperforms in 3 benchmarks (GPQA, HumanEval, IFEval), while Qwen2.5 72B Instruct is better at 2 benchmarks (MATH, MMLU-Pro).
Llama 3.3 70B Instruct has a slight edge in benchmark performance.
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 1.7x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).
For output processing, Llama 3.3 70B Instruct ($0.20/1M tokens) is 2.0x cheaper than Qwen2.5 72B Instruct ($0.40/1M tokens).
In conclusion, Qwen2.5 72B Instruct is more expensive than Llama 3.3 70B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen2.5 72B Instruct has 2.7B more parameters than Llama 3.3 70B Instruct, making it 3.9% larger.
Context Window
Maximum input and output token capacity
Qwen2.5 72B Instruct accepts 131,072 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 128,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.
License
Usage and distribution terms
Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Qwen2.5 72B Instruct uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.3 Community License Agreement
Open weights
Qwen
Open weights
Release Timeline
When each model was launched
Llama 3.3 70B Instruct was released on 2024-12-06, while Qwen2.5 72B Instruct was released on 2024-09-19.
Llama 3.3 70B Instruct is 3 months newer than Qwen2.5 72B Instruct.
Dec 6, 2024
1.6 years ago
2mo newerSep 19, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.
Llama 3.3 70B Instruct
Qwen2.5 72B Instruct
Outputs Comparison
Key Takeaways
Qwen2.5 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Llama 3.3 70B Instruct and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Llama 3.3 70B Instruct vs Qwen2.5 72B Instruct.