Model Comparison

Gemini 1.0 Pro vs Gemma 3n E4B Instructed

Gemini 1.0 Pro significantly outperforms across most benchmarks. Gemini 1.0 Pro is 33.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.0 Pro outperforms in 2 benchmarks (GPQA, MMLU), while Gemma 3n E4B Instructed is better at 0 benchmarks.

Gemini 1.0 Pro significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 40.0x cheaper than Gemma 3n E4B Instructed ($20.00/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 26.7x cheaper than Gemma 3n E4B Instructed ($40.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
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

Gemini 1.0 Pro accepts 32,760 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Gemma 3n E4B Instructed can generate longer responses up to 32,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas Gemini 1.0 Pro does not.

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

Gemini 1.0 Pro

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.

Gemini 1.0 Pro

Proprietary

Closed source

Gemma 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Gemma 3n E4B Instructed was released on 2025-06-26.

Gemma 3n E4B Instructed is 17 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

1.4yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, 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 Gemini 1.0 Pro (2024-02-01).

Gemini 1.0 Pro

Feb 2024

Gemma 3n E4B Instructed

Jun 2024

4 mo newer

Provider Availability

Gemini 1.0 Pro is available from Google. Gemma 3n E4B Instructed is available from Together.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

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

Google
Larger context window (32,760 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (27.9% vs 23.7%)
Higher MMLU score (71.8% vs 64.9%)
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Google
Gemma 3n E4B Instructed

FAQ

Common questions about Gemini 1.0 Pro vs Gemma 3n E4B Instructed

Gemini 1.0 Pro significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google 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.
Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.
Gemini 1.0 Pro is 40.0x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together.
Gemini 1.0 Pro supports 33K 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 (33K vs 32K), input pricing ($0.50 vs $20.00/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.