Model Comparison

Llama 3.3 70B Instruct vs Qwen2.5 72B Instruct

Llama 3.3 70B Instruct has a slight edge in benchmark performance. Llama 3.3 70B Instruct is 1.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.3 70B Instruct costs less

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

Lowest available price from all providers

Sun May 10 2026 • llm-stats.com

Llama 3.3 70B Instruct

Input tokens$0.20

Output tokens$0.20

Best providerLambda

Qwen2.5 72B Instruct

Input tokens$0.35

Output tokens$0.40

Best providerDeepinfra

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Model Size

Parameter count comparison

2.7B diff

Qwen2.5 72B Instruct has 2.7B more parameters than Llama 3.3 70B Instruct, making it 3.9% larger.

Llama 3.3 70B Instruct

70.0Bparameters

Qwen2.5 72B Instruct

72.7Bparameters

70.0B

Llama 3.3 70B Instruct

72.7B

Qwen2.5 72B Instruct

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.

Llama 3.3 70B Instruct

Input128,000 tokens

Output128,000 tokens

Qwen2.5 72B Instruct

Input131,072 tokens

Output8,192 tokens

Sun May 10 2026 • llm-stats.com

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 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Qwen2.5 72B Instruct

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.

Llama 3.3 70B Instruct

Dec 6, 2024

1.4 years ago

2mo newer

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

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

Lambda

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

Deepinfra

Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M

Hyperbolic

Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M

Groq

Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M

Sambanova

Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M

Cerebras

Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M

AWS Bedrock

Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M

Together

Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Qwen2.5 72B Instruct

Deepinfra

Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M

Hyperbolic

Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

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

Llama 3.3 70B Instruct

View details

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Higher MATH score (83.1% vs 77.0%)

Higher MMLU-Pro score (71.1% vs 68.9%)

Detailed Comparison

AI Model Comparison Table
Feature	Llama 3.3 70B Instruct	Qwen2.5 72B Instruct

FAQ

Common questions about Llama 3.3 70B Instruct vs Qwen2.5 72B Instruct.

Which is better, Llama 3.3 70B Instruct or Qwen2.5 72B Instruct?

Llama 3.3 70B Instruct has a slight edge in benchmark performance. Llama 3.3 70B Instruct is made by Meta and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.3 70B Instruct compare to Qwen2.5 72B Instruct in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

Is Llama 3.3 70B Instruct cheaper than Qwen2.5 72B Instruct?

Llama 3.3 70B Instruct is 1.7x cheaper for input tokens. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra.

What are the context window sizes for Llama 3.3 70B Instruct and Qwen2.5 72B Instruct?

Llama 3.3 70B Instruct supports 128K tokens and Qwen2.5 72B 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 Llama 3.3 70B Instruct and Qwen2.5 72B Instruct?

Key differences include context window (128K vs 131K), input pricing ($0.20 vs $0.35/M), licensing (Llama 3.3 Community License Agreement vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and Qwen2.5 72B Instruct?

Llama 3.3 70B Instruct is developed by Meta and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.