Model Comparison

GPT OSS 120B vs Gemma 3 27BWhich is better in 2026?

GPT OSS 120B significantly outperforms across most benchmarks. Gemma 3 27B is 1.4x cheaper per token.

Verdict: GPT OSS 120B vs Gemma 3 27B — which is better?

GPT OSS 120B (by OpenAI) and Gemma 3 27B (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT OSS 120B outperforms in 1 benchmarks (GPQA), while Gemma 3 27B is better at 0 benchmarks. GPT OSS 120B significantly outperforms across most benchmarks.

On price, Gemma 3 27B is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose GPT OSS 120B if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2025

Choose Gemma 3 27B if…

  • cost matters — it's about 1.4x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT OSS 120B outperforms in 1 benchmarks (GPQA), while Gemma 3 27B is better at 0 benchmarks.

GPT OSS 120B significantly outperforms across most benchmarks.

Wed Jun 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 27B costs less

For input processing, GPT OSS 120B ($0.09/1M tokens) is 1.1x cheaper than Gemma 3 27B ($0.10/1M tokens).

For output processing, GPT OSS 120B ($0.45/1M tokens) is 2.3x more expensive than Gemma 3 27B ($0.20/1M tokens).

In conclusion, GPT OSS 120B is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Wed Jun 10 2026 • llm-stats.com
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

89.8B diff

GPT OSS 120B has 89.8B more parameters than Gemma 3 27B, making it 332.6% larger.

OpenAI
GPT OSS 120B
116.8Bparameters
Google
Gemma 3 27B
27.0Bparameters
116.8B
GPT OSS 120B
27.0B
Gemma 3 27B

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.

OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Wed Jun 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas GPT OSS 120B does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT OSS 120B

Text
Images
Audio
Video

Gemma 3 27B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT OSS 120B is licensed under Apache 2.0, while Gemma 3 27B uses Gemma.

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

GPT OSS 120B

Apache 2.0

Open weights

Gemma 3 27B

Gemma

Open weights

Release Timeline

When each model was launched

GPT OSS 120B was released on 2025-08-05, while Gemma 3 27B was released on 2025-03-12.

GPT OSS 120B is 5 months newer than Gemma 3 27B.

GPT OSS 120B

Aug 5, 2025

10 months ago

4mo newer
Gemma 3 27B

Mar 12, 2025

1.2 years ago

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

Provider Availability

GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Gemma 3 27B is available from DeepInfra, Novita.

GPT OSS 120B

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Gemma 3 27B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
novita logo
Novita
Input Price:Input: $0.11/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Higher GPQA score (80.1% vs 42.4%)
Supports multimodal inputs
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT OSS 120B
Google
Gemma 3 27B

FAQ

Common questions about GPT OSS 120B vs Gemma 3 27B.

Which is better, GPT OSS 120B or Gemma 3 27B?

GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is made by OpenAI and Gemma 3 27B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT OSS 120B compare to Gemma 3 27B in benchmarks?

GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%. Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%.

Is GPT OSS 120B cheaper than Gemma 3 27B?

GPT OSS 120B is 1.1x cheaper for input tokens. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra.

What are the context window sizes for GPT OSS 120B and Gemma 3 27B?

GPT OSS 120B supports 131K tokens and Gemma 3 27B 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 GPT OSS 120B and Gemma 3 27B?

Key differences include input pricing ($0.09 vs $0.10/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B and Gemma 3 27B?

GPT OSS 120B is developed by OpenAI and Gemma 3 27B is developed by Google.