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Gemma 4 E2B vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.2 to 6.7.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3-235B-A22B-Instruct-2507 leads the overall LLM Stats Score 24.2 to 6.7, ranking #169 overall.

In the 3 individual benchmarks reported for both models, Qwen3-235B-A22B-Instruct-2507 wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 4 E2B

  • you want the most recent training data — it shipped Apr 2026

Choose Qwen3-235B-A22B-Instruct-2507

  • overall performance matters — it scores 24.2 and ranks #169 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

At a glance

The differences that matter most.

Gemma 4 E2B
Google
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
6.7
#294
24.2
#169
Reasoning
5.6
#295
23.9
#164
Agents
-3.6
#182
9.9
#122
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$0.09 / M
Output price
— / M
$0.55 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 4 E2B
Qwen3-235B-A22B-Instruct-2507
Math
5.7#270
23.9#122
Vision
0.7#179
9.1#134
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 4 E2B · 25 for Qwen3-235B-A22B-Instruct-2507

3 shared

Gemma 4 E2B outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 3 benchmarks (GPQA, LiveCodeBench v6, MMLU-Pro).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

229.9B diff

Qwen3-235B-A22B-Instruct-2507 has 229.9B more parameters than Gemma 4 E2B, making it 4507.8% larger.

Google
Gemma 4 E2B
5.1Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
5.1B
Gemma 4 E2B
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (262,144 tokens).

Google
Gemma 4 E2B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output262,144 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 4 E2B supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

Gemma 4 E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 4 E2B

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Gemma 4 E2B

Apache 2.0

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 4 E2B was released on 2026-04-02, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Gemma 4 E2B is 8 months newer than Qwen3-235B-A22B-Instruct-2507.

Gemma 4 E2B

Apr 2, 2026

5 months ago

8mo newer
Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while Qwen3-235B-A22B-Instruct-2507's cutoff date is not specified.

We can confirm Gemma 4 E2B's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3-235B-A22B-Instruct-2507's cutoff date.

Gemma 4 E2B

Jan 2025

Qwen3-235B-A22B-Instruct-2507

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 4 E2B and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Gemma 4 E2B
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground

FAQ

Common questions about Gemma 4 E2B vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Gemma 4 E2B or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.2 to 6.7. Gemma 4 E2B is made by Google and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 4 E2B compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Gemma 4 E2B and Qwen3-235B-A22B-Instruct-2507?

Gemma 4 E2B supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 4 E2B and Qwen3-235B-A22B-Instruct-2507?

Key differences include LLM Stats Score (6.7 vs 24.2), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E2B and Qwen3-235B-A22B-Instruct-2507?

Gemma 4 E2B is developed by Google and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

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