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Gemma 3n E4B Instructed LiteRT Preview vs GPT OSS 20B

GPT OSS 20B leads the LLM Stats Score 18.0 to -5.2.

Google · OpenAI · Updated for 2026

Which is better?

GPT OSS 20B leads the overall LLM Stats Score 18.0 to -5.2, ranking #215 overall.

In the 2 individual benchmarks reported for both models, GPT OSS 20B wins 2; 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 3n E4B Instructed LiteRT Preview

  • you are already invested in the Google ecosystem

Choose GPT OSS 20B

  • overall performance matters — it scores 18.0 and ranks #215 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Gemma 3n E4B Instructed LiteRT Preview
Google
GPT OSS 20B
OpenAI
Core performance indexes
LLM Stats Score
-5.2
#355
18.0
#215
Reasoning
-5.9
#350
15.6
#221
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.03 / M
Output price
— / M
$0.14 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E4B Instructed LiteRT Preview
GPT OSS 20B
Math
-1.3#302
17.0#199
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for Gemma 3n E4B Instructed LiteRT Preview · 7 for GPT OSS 20B

2 shared

Gemma 3n E4B Instructed LiteRT Preview outperforms in 0 benchmarks, while GPT OSS 20B is better at 2 benchmarks (GPQA, MMLU).

GPT OSS 20B significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

19.0B diff

GPT OSS 20B has 19.0B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 994.2% larger.

Google
Gemma 3n E4B Instructed LiteRT Preview
1.9Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
1.9B
Gemma 3n E4B Instructed LiteRT Preview
20.9B
GPT OSS 20B

Context Window

Maximum input and output token capacity

Only GPT OSS 20B specifies input context (131,072 tokens). Only GPT OSS 20B specifies output context (131,072 tokens).

Google
Gemma 3n E4B Instructed LiteRT Preview
Input- tokens
Output- tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output131,072 tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs, whereas GPT OSS 20B does not.

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

Gemma 3n E4B Instructed LiteRT Preview

Text
Images
Audio
Video

GPT OSS 20B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed LiteRT Preview is licensed under Gemma, while GPT OSS 20B uses Apache 2.0.

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

Gemma 3n E4B Instructed LiteRT Preview

Gemma

Open weights

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed LiteRT Preview was released on 2025-05-20, while GPT OSS 20B was released on 2025-08-05.

GPT OSS 20B is 3 months newer than Gemma 3n E4B Instructed LiteRT Preview.

Gemma 3n E4B Instructed LiteRT Preview

May 20, 2025

1.3 years ago

GPT OSS 20B

Aug 5, 2025

1.1 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed LiteRT Preview has a documented knowledge cutoff of 2024-06-01, while GPT OSS 20B's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed LiteRT Preview's training data extends to 2024-06-01, but cannot make a direct comparison without GPT OSS 20B's cutoff date.

Gemma 3n E4B Instructed LiteRT Preview

Jun 2024

GPT OSS 20B

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E4B Instructed LiteRT Preview and GPT OSS 20B side-by-side, then vote on the output you prefer.

Gemma 3n E4B Instructed LiteRT Preview
✓ Preferred
GPT OSS 20B
Open in Playground

FAQ

Common questions about Gemma 3n E4B Instructed LiteRT Preview vs GPT OSS 20B.

Which is better, Gemma 3n E4B Instructed LiteRT Preview or GPT OSS 20B?

GPT OSS 20B leads the LLM Stats Score 18.0 to -5.2. Gemma 3n E4B Instructed LiteRT Preview is made by Google and GPT OSS 20B is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3n E4B Instructed LiteRT Preview compare to GPT OSS 20B in benchmarks?

Gemma 3n E4B Instructed LiteRT Preview scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, HumanEval: 75.0%. GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.

What are the context window sizes for Gemma 3n E4B Instructed LiteRT Preview and GPT OSS 20B?

Gemma 3n E4B Instructed LiteRT Preview supports an unknown number of tokens and GPT OSS 20B 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 Gemma 3n E4B Instructed LiteRT Preview and GPT OSS 20B?

Key differences include LLM Stats Score (-5.2 vs 18.0), multimodal support (yes vs no), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B Instructed LiteRT Preview and GPT OSS 20B?

Gemma 3n E4B Instructed LiteRT Preview is developed by Google and GPT OSS 20B is developed by OpenAI.

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