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Gemma 3 4B vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemma 3 4B outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 3 4B

  • you want predictable pricing at $0.02/M input and $0.04/M output

Choose Qwen3.8-Flash-Next

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
$0.02 / M
— / M
Output price
$0.04 / M
— / M
Context window
131,072
Released
Mar 2025
Aug 2026
License
Gemma
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3 4B outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 1 benchmark (GPQA).

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

176.0B diff

Qwen3.8-Flash-Next has 176.0B more parameters than Gemma 3 4B, making it 4400.0% larger.

Google
Gemma 3 4B
4.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
180.0Bparameters
4.0B
Gemma 3 4B
180.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Gemma 3 4B specifies input context (131,072 tokens). Only Gemma 3 4B specifies output context (131,072 tokens).

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 4B and Qwen3.8-Flash-Next support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3 4B

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

Gemma 3 4B

Gemma

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 18 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.5 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

Gemma 3 4B

Aug 2024

Qwen3.8-Flash-Next

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 3 4B and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Gemma 3 4B
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Gemma 3 4B vs Qwen3.8-Flash-Next.

Which is better, Gemma 3 4B or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next significantly outperforms across most benchmarks. Gemma 3 4B is made by Google and Qwen3.8-Flash-Next 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 3 4B compare to Qwen3.8-Flash-Next in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for Gemma 3 4B and Qwen3.8-Flash-Next?

Gemma 3 4B supports 131K tokens and Qwen3.8-Flash-Next 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 Gemma 3 4B and Qwen3.8-Flash-Next?

Key differences include licensing (Gemma vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 4B and Qwen3.8-Flash-Next?

Gemma 3 4B is developed by Google and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.