Model Comparison

Gemma 3n E4B Instructed vs Qwen2.5-Coder 32B InstructWhich is better in 2026?

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Qwen2.5-Coder 32B Instruct is 277.8x cheaper per token.

Verdict: Gemma 3n E4B Instructed vs Qwen2.5-Coder 32B Instruct — which is better?

Gemma 3n E4B Instructed (by Google) and Qwen2.5-Coder 32B 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.

Gemma 3n E4B Instructed outperforms in 1 benchmarks (MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 4 benchmarks (HumanEval, LiveCodeBench, MBPP, MMLU). Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

On price, Qwen2.5-Coder 32B Instruct is roughly 277.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen2.5-Coder 32B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemma 3n E4B Instructed if…

  • you want the most recent training data — it shipped Jun 2025

Choose Qwen2.5-Coder 32B Instruct if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • cost matters — it's about 277.8x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3n E4B Instructed outperforms in 1 benchmarks (MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 4 benchmarks (HumanEval, LiveCodeBench, MBPP, MMLU).

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 222.2x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 444.4x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Qwen2.5-Coder 32B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jun 15 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

24.0B diff

Qwen2.5-Coder 32B Instruct has 24.0B more parameters than Gemma 3n E4B Instructed, making it 300.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
8.0B
Gemma 3n E4B Instructed
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5-Coder 32B Instruct accepts 128,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Qwen2.5-Coder 32B Instruct can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Jun 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas Qwen2.5-Coder 32B Instruct does not.

Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B Instructed

Text
Images
Audio
Video

Qwen2.5-Coder 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Gemma 3n E4B Instructed is 9 months newer than Qwen2.5-Coder 32B Instruct.

Gemma 3n E4B Instructed

Jun 26, 2025

11 months ago

9mo newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Qwen2.5-Coder 32B Instruct's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen2.5-Coder 32B Instruct's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Qwen2.5-Coder 32B Instruct

Provider Availability

Gemma 3n E4B Instructed is available from Together. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Qwen2.5-Coder 32B Instruct

lambda logo
Lambda
Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Supports multimodal inputs
Higher MMLU-Pro score (50.6% vs 50.4%)
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher HumanEval score (92.7% vs 75.0%)
Higher LiveCodeBench score (31.4% vs 13.2%)
Higher MBPP score (90.2% vs 63.6%)
Higher MMLU score (75.1% vs 64.9%)

Detailed Comparison

FAQ

Common questions about Gemma 3n E4B Instructed vs Qwen2.5-Coder 32B Instruct.

Which is better, Gemma 3n E4B Instructed or Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and Qwen2.5-Coder 32B 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 Gemma 3n E4B Instructed compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

Is Gemma 3n E4B Instructed cheaper than Qwen2.5-Coder 32B Instruct?

Qwen2.5-Coder 32B Instruct is 222.2x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.

What are the context window sizes for Gemma 3n E4B Instructed and Qwen2.5-Coder 32B Instruct?

Gemma 3n E4B Instructed supports 32K tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E4B Instructed and Qwen2.5-Coder 32B Instruct?

Key differences include context window (32K vs 128K), input pricing ($20.00 vs $0.09/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed and Qwen2.5-Coder 32B Instruct?

Gemma 3n E4B Instructed is developed by Google and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.