Model Comparison

Llama 3.3 70B Instruct vs Qwen3-Coder 480B A35B Instruct

Comparing Llama 3.3 70B Instruct and Qwen3-Coder 480B A35B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 3.3 70B Instruct and Qwen3-Coder 480B A35B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

410.0B diff

Qwen3-Coder 480B A35B Instruct has 410.0B more parameters than Llama 3.3 70B Instruct, making it 585.7% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
480.0Bparameters
70.0B
Llama 3.3 70B Instruct
480.0B
Qwen3-Coder 480B A35B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input- tokens
Output- tokens
Wed May 13 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Qwen3-Coder 480B A35B Instruct uses Apache 2.0.

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

Qwen3-Coder 480B A35B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.

Qwen3-Coder 480B A35B Instruct is 2 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.4 years ago

Qwen3-Coder 480B A35B Instruct

Jan 31, 2025

1.3 years ago

1mo newer

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)

No standout differentiators in the data we have for this pair.

Detailed Comparison

FAQ

Common questions about Llama 3.3 70B Instruct vs Qwen3-Coder 480B A35B Instruct.

Which is better, Llama 3.3 70B Instruct or Qwen3-Coder 480B A35B Instruct?

Llama 3.3 70B Instruct (Meta) and Qwen3-Coder 480B A35B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Llama 3.3 70B Instruct compare to Qwen3-Coder 480B A35B 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%. Qwen3-Coder 480B A35B Instruct scores TAU-bench Retail: 77.5%, SWE-Bench Verified: 69.6%, BFCL-v3: 68.7%, Aider-Polyglot: 61.8%, TAU-bench Airline: 60.0%.

What are the context window sizes for Llama 3.3 70B Instruct and Qwen3-Coder 480B A35B Instruct?

Llama 3.3 70B Instruct supports 128K tokens and Qwen3-Coder 480B A35B Instruct supports an unknown number of 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 Qwen3-Coder 480B A35B Instruct?

Key differences include licensing (Llama 3.3 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and Qwen3-Coder 480B A35B Instruct?

Llama 3.3 70B Instruct is developed by Meta and Qwen3-Coder 480B A35B Instruct is developed by Alibaba Cloud / Qwen Team.