Model Comparison

Gemma 2 9B vs Qwen3-Coder

Comparing Gemma 2 9B and Qwen3-Coder across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 2 9B and Qwen3-Coder 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
Tue Apr 14 2026 • llm-stats.com
Google
Gemma 2 9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

470.8B diff

Qwen3-Coder has 470.8B more parameters than Gemma 2 9B, making it 5094.8% larger.

Google
Gemma 2 9B
9.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
9.2B
Gemma 2 9B
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Only Qwen3-Coder specifies input context (256,000 tokens). Only Qwen3-Coder specifies output context (256,000 tokens).

Google
Gemma 2 9B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 9B is licensed under Gemma, while Qwen3-Coder uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 2 9B

Gemma

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 9B was released on 2024-06-27, while Qwen3-Coder was released on 2025-01-01.

Qwen3-Coder is 6 months newer than Gemma 2 9B.

Gemma 2 9B

Jun 27, 2024

1.8 years ago

Qwen3-Coder

Jan 1, 2025

1.3 years ago

6mo 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

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 2 9B
Alibaba Cloud / Qwen Team
Qwen3-Coder

FAQ

Common questions about Gemma 2 9B vs Qwen3-Coder

Gemma 2 9B (Google) and Qwen3-Coder (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 2 9B scores ARC-E: 88.0%, BoolQ: 84.2%, HellaSwag: 81.9%, PIQA: 81.7%, Winogrande: 80.6%.
Gemma 2 9B supports an unknown number of tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 2 9B is developed by Google and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.