Model Comparison

o3-mini vs Gemma 3n E4B Instructed

o3-mini significantly outperforms across most benchmarks. o3-mini is 13.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

o3-mini outperforms in 3 benchmarks (GPQA, MGSM, MMLU), while Gemma 3n E4B Instructed is better at 0 benchmarks.

o3-mini significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

o3-mini costs less

For input processing, o3-mini ($1.10/1M tokens) is 18.2x cheaper than Gemma 3n E4B Instructed ($20.00/1M tokens).

For output processing, o3-mini ($4.40/1M tokens) is 9.1x cheaper than Gemma 3n E4B Instructed ($40.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than o3-mini.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3-mini accepts 200,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. o3-mini can generate longer responses up to 100,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas o3-mini does not.

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

o3-mini

Text
Images
Audio
Video

Gemma 3n E4B Instructed

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

o3-mini

Proprietary

Closed source

Gemma 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while Gemma 3n E4B Instructed was released on 2025-06-26.

Gemma 3n E4B Instructed is 5 months newer than o3-mini.

o3-mini

Jan 30, 2025

1.2 years ago

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

4mo newer

Knowledge Cutoff

When training data ends

o3-mini has a knowledge cutoff of 2023-09-30, while Gemma 3n E4B Instructed has a cutoff of 2024-06-01.

Gemma 3n E4B Instructed has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to o3-mini (2023-09-30).

o3-mini

Sep 2023

Gemma 3n E4B Instructed

Jun 2024

9 mo newer

Provider Availability

o3-mini is available from Azure, OpenAI. Gemma 3n E4B Instructed is available from Together.

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (77.2% vs 23.7%)
Higher MGSM score (92.0% vs 67.0%)
Higher MMLU score (86.9% vs 64.9%)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-mini
Google
Gemma 3n E4B Instructed

FAQ

Common questions about o3-mini vs Gemma 3n E4B Instructed

o3-mini significantly outperforms across most benchmarks. o3-mini is made by OpenAI and Gemma 3n E4B Instructed is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%. Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.
o3-mini is 18.2x cheaper for input tokens. o3-mini costs $1.10/M input and $4.40/M output via azure. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together.
o3-mini supports 200K tokens and Gemma 3n E4B Instructed supports 32K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 32K), input pricing ($1.10 vs $20.00/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
o3-mini is developed by OpenAI and Gemma 3n E4B Instructed is developed by Google.