The AI arena is free today

Open Superagent

DeepSeek-V3 vs Gemma 4 E4B

DeepSeek-V3 and Gemma 4 E4B are closely matched at 15.6 and 13.8 on the LLM Stats Score. Gemma 4 E4B is 10.6x cheaper per token.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V3 and Gemma 4 E4B are closely matched on the overall LLM Stats Score at 15.6 and 13.8.

In the 2 individual benchmarks reported for both models, DeepSeek-V3 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemma 4 E4B is roughly 10.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose DeepSeek-V3

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose Gemma 4 E4B

  • cost matters — it's about 10.6x cheaper per token
  • you want the most recent training data — it shipped Apr 2026

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Gemma 4 E4B
Google
Core performance indexes
LLM Stats Score
15.6
#236
13.8
#250
Reasoning
14.8
#235
13.6
#242
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.27 / M
$0.02 / M
Output price
$0.89 / M
$0.10 / M
Context window
131,072
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3
Gemma 4 E4B
Math
18.0#190
11.9#238
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 11 for Gemma 4 E4B

2 shared

DeepSeek-V3 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Gemma 4 E4B is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most 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, DeepSeek-V3 ($0.27/1M tokens) is 13.5x more expensive than Gemma 4 E4B ($0.02/1M tokens).

For output processing, DeepSeek-V3 ($0.89/1M tokens) is 8.9x more expensive than Gemma 4 E4B ($0.10/1M tokens).

In conclusion, DeepSeek-V3 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
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$0.89
Best providerDeepSeek
Google
Gemma 4 E4B
Input tokens$0.02
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

663.0B diff

DeepSeek-V3 has 663.0B more parameters than Gemma 4 E4B, making it 8287.5% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Google
Gemma 4 E4B
8.0Bparameters
671.0B
DeepSeek-V3
8.0B
Gemma 4 E4B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Google
Gemma 4 E4B
Input131,072 tokens
Output131,072 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 4 E4B supports multimodal inputs, whereas DeepSeek-V3 does not.

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

DeepSeek-V3

Text
Images
Audio
Video

Gemma 4 E4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Gemma 4 E4B uses Apache 2.0.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Gemma 4 E4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Gemma 4 E4B was released on 2026-04-02.

Gemma 4 E4B is 15 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.8 years ago

Gemma 4 E4B

Apr 2, 2026

6 months ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemma 4 E4B has a documented knowledge cutoff of 2025-01-01, while DeepSeek-V3'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 DeepSeek-V3's cutoff date.

DeepSeek-V3

—

Gemma 4 E4B

Jan 2025

Provider Availability

DeepSeek-V3 is available from DeepSeek, DeepInfra. Gemma 4 E4B is available from DeepInfra.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.32/1MOutput Price:Output: $0.89/1M

Gemma 4 E4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Gemma 4 E4B side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Gemma 4 E4B
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Gemma 4 E4B.

Which is better, DeepSeek-V3 or Gemma 4 E4B?

DeepSeek-V3 and Gemma 4 E4B are closely matched on the LLM Stats Score at 15.6 and 13.8. DeepSeek-V3 is made by DeepSeek and Gemma 4 E4B is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3 compare to Gemma 4 E4B in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%.

Is DeepSeek-V3 cheaper than Gemma 4 E4B?

Gemma 4 E4B is 13.5x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $0.89/M output via deepseek. Gemma 4 E4B costs $0.02/M input and $0.10/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 and Gemma 4 E4B?

DeepSeek-V3 supports 131K tokens and Gemma 4 E4B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 and Gemma 4 E4B?

Key differences include LLM Stats Score (15.6 vs 13.8), input pricing ($0.27 vs $0.02/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Gemma 4 E4B?

DeepSeek-V3 is developed by DeepSeek and Gemma 4 E4B is developed by Google.

Related comparisons