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Gemma 4 E4B vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.1 to 13.8. Gemma 4 E4B is 5.1x cheaper per token.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3-235B-A22B-Instruct-2507 leads the overall LLM Stats Score 24.1 to 13.8, ranking #174 overall.

In the 3 individual benchmarks reported for both models, Qwen3-235B-A22B-Instruct-2507 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemma 4 E4B is roughly 5.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-235B-A22B-Instruct-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Gemma 4 E4B

  • cost matters — it's about 5.1x cheaper per token
  • you want the most recent training data — it shipped Apr 2026

Choose Qwen3-235B-A22B-Instruct-2507

  • overall performance matters — it scores 24.1 and ranks #174 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you process long inputs — it offers a 262,144 token context window

At a glance

The differences that matter most.

Core performance indexes
13.8
#250
24.1
#174
13.6
#242
23.9
#169
1.8
#174
9.9
#127
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$0.02 / M
$0.09 / M
Output price
$0.10 / M
$0.55 / M
Context window
131,072
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemma 4 E4B
Qwen3-235B-A22B-Instruct-2507
11.9#238
23.9#124
3.8#167
9.1#139
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 4 E4B · 25 for Qwen3-235B-A22B-Instruct-2507

3 shared

Gemma 4 E4B outperforms in 1 benchmarks (LiveCodeBench v6), while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3-235B-A22B-Instruct-2507 shows notably better performance in the majority of benchmarks.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 4 E4B costs less

For input processing, Gemma 4 E4B ($0.02/1M tokens) is 4.5x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.09/1M tokens).

For output processing, Gemma 4 E4B ($0.10/1M tokens) is 5.5x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.55/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Gemma 4 E4B.*

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

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
Google
Gemma 4 E4B
Input tokens$0.02
Output tokens$0.10
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.09
Output tokens$0.55
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

227.0B diff

Qwen3-235B-A22B-Instruct-2507 has 227.0B more parameters than Gemma 4 E4B, making it 2837.5% larger.

Google
Gemma 4 E4B
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
8.0B
Gemma 4 E4B
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Gemma 4 E4B's 131,072 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 262,144 tokens, while Gemma 4 E4B is limited to 131,072 tokens.

Google
Gemma 4 E4B
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output262,144 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 4 E4B supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

Gemma 4 E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 4 E4B

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 E4B

Apache 2.0

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 4 E4B was released on 2026-04-02, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Gemma 4 E4B is 8 months newer than Qwen3-235B-A22B-Instruct-2507.

Gemma 4 E4B

Apr 2, 2026

6 months ago

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

Jul 22, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemma 4 E4B 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 E4B'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 E4B

Jan 2025

Qwen3-235B-A22B-Instruct-2507

—

Provider Availability

Gemma 4 E4B is available from DeepInfra. Qwen3-235B-A22B-Instruct-2507 is available from DeepInfra, Fireworks, Novita.

Gemma 4 E4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.10/1M

Qwen3-235B-A22B-Instruct-2507

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.55/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 4 E4B and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Gemma 4 E4B
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground

FAQ

Common questions about Gemma 4 E4B vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Gemma 4 E4B or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.1 to 13.8. Gemma 4 E4B 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 E4B compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%. 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%.

Is Gemma 4 E4B cheaper than Qwen3-235B-A22B-Instruct-2507?

Gemma 4 E4B is 4.5x cheaper for input tokens. Gemma 4 E4B costs $0.02/M input and $0.10/M output via deepinfra. Qwen3-235B-A22B-Instruct-2507 costs $0.09/M input and $0.55/M output via deepinfra.

What are the context window sizes for Gemma 4 E4B and Qwen3-235B-A22B-Instruct-2507?

Gemma 4 E4B supports 131K 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 E4B and Qwen3-235B-A22B-Instruct-2507?

Key differences include LLM Stats Score (13.8 vs 24.1), context window (131K vs 262K), input pricing ($0.02 vs $0.09/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E4B and Qwen3-235B-A22B-Instruct-2507?

Gemma 4 E4B is developed by Google and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.