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Gemma 2 27B vs GPT OSS 20B

GPT OSS 20B leads the LLM Stats Score 18.0 to -0.7.

Google · OpenAI · Updated for 2026

Which is better?

GPT OSS 20B leads the overall LLM Stats Score 18.0 to -0.7, ranking #216 overall.

In the 1 individual benchmarks reported for both models, GPT OSS 20B wins 1; 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 2 27B

  • you are already invested in the Google ecosystem

Choose GPT OSS 20B

  • overall performance matters — it scores 18.0 and ranks #216 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2025

At a glance

The differences that matter most.

Gemma 2 27B
Google
GPT OSS 20B
OpenAI
Core performance indexes
LLM Stats Score
-0.7
#330
18.0
#216
Reasoning
-1.1
#326
15.6
#222
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
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 2 27B
GPT OSS 20B
Math
-0.7#297
17.0#199
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemma 2 27B · 7 for GPT OSS 20B

1 shared

Gemma 2 27B outperforms in 0 benchmarks, while GPT OSS 20B is better at 1 benchmark (MMLU).

GPT OSS 20B significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

6.3B diff

Gemma 2 27B has 6.3B more parameters than GPT OSS 20B, making it 30.1% larger.

Google
Gemma 2 27B
27.2Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
27.2B
Gemma 2 27B
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 2 27B
Input- tokens
Output- tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output131,072 tokens
Mon Sep 21 2026 • llm-stats.com

License

Usage and distribution terms

Gemma 2 27B 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 2 27B

Gemma

Open weights

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 2 27B was released on 2024-06-27, while GPT OSS 20B was released on 2025-08-05.

GPT OSS 20B is 13 months newer than Gemma 2 27B.

Gemma 2 27B

Jun 27, 2024

2.2 years ago

GPT OSS 20B

Aug 5, 2025

1.1 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 2 27B and GPT OSS 20B side-by-side, then vote on the output you prefer.

Gemma 2 27B
✓ Preferred
GPT OSS 20B
Open in Playground

FAQ

Common questions about Gemma 2 27B vs GPT OSS 20B.

Which is better, Gemma 2 27B or GPT OSS 20B?

GPT OSS 20B leads the LLM Stats Score 18.0 to -0.7. Gemma 2 27B 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 2 27B compare to GPT OSS 20B in benchmarks?

Gemma 2 27B scores ARC-E: 88.6%, HellaSwag: 86.4%, BoolQ: 84.8%, TriviaQA: 83.7%, Winogrande: 83.7%. 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 2 27B and GPT OSS 20B?

Gemma 2 27B 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 2 27B and GPT OSS 20B?

Key differences include LLM Stats Score (-0.7 vs 18.0), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 2 27B and GPT OSS 20B?

Gemma 2 27B is developed by Google and GPT OSS 20B is developed by OpenAI.

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