Model Comparison

Gemma 3 27B vs Qwen3-Coder 480B A35B Instruct

Comparing Gemma 3 27B and Qwen3-Coder 480B A35B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3 27B 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

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

453.0B diff

Qwen3-Coder 480B A35B Instruct has 453.0B more parameters than Gemma 3 27B, making it 1677.8% larger.

Google
Gemma 3 27B
27.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
480.0Bparameters
27.0B
Gemma 3 27B
480.0B
Qwen3-Coder 480B A35B Instruct

Context Window

Maximum input and output token capacity

Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input- tokens
Output- tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas Qwen3-Coder 480B A35B Instruct does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 27B

Text
Images
Audio
Video

Qwen3-Coder 480B A35B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, 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.

Gemma 3 27B

Gemma

Open weights

Qwen3-Coder 480B A35B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.

Gemma 3 27B is 1 month newer than Qwen3-Coder 480B A35B Instruct.

Gemma 3 27B

Mar 12, 2025

1.1 years ago

1mo newer
Qwen3-Coder 480B A35B Instruct

Jan 31, 2025

1.2 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (131,072 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 27B
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct

FAQ

Common questions about Gemma 3 27B vs Qwen3-Coder 480B A35B Instruct

Gemma 3 27B (Google) 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.
Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. 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%.
Gemma 3 27B supports 131K 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.
Key differences include multimodal support (yes vs no), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3 27B is developed by Google and Qwen3-Coder 480B A35B Instruct is developed by Alibaba Cloud / Qwen Team.