The AI arena is free today

Open Superagent

Gemini 3.7 Flash vs Gemma 3n E4B Instructed

Comparing Gemini 3.7 Flash and Gemma 3n E4B Instructed across benchmarks, pricing, and capabilities.

Google · Google · Updated for 2026

Which is better?

Gemini 3.7 Flash and Gemma 3n E4B Instructed trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Gemini 3.7 Flash is roughly 16.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.7 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

  • cost matters — it's about 16.7x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Gemma 3n E4B Instructed

  • you want predictable pricing at $20.00/M input and $40.00/M output

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.75 / M
$20.00 / M
Output price
$3.75 / M
$40.00 / M
Context window
1,048,576
32,000
Released
Aug 2026
Jun 2025
License
Proprietary
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and Gemma 3n E4B Instructeddon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 3.7 Flash costs less

For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 26.7x cheaper than Gemma 3n E4B Instructed ($20.00/1M tokens).

For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 10.7x cheaper than Gemma 3n E4B Instructed ($40.00/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Gemini 3.7 Flash.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
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 3.7 Flash accepts 1,048,576 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Gemini 3.7 Flash can generate longer responses up to 65,536 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.7 Flash and Gemma 3n E4B Instructed support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.7 Flash

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 3.7 Flash

Proprietary

Closed source

Gemma 3n E4B Instructed

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Gemma 3n E4B Instructed was released on 2025-06-26.

Gemini 3.7 Flash is 14 months newer than Gemma 3n E4B Instructed.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

1.1yr newer
Gemma 3n E4B Instructed

Jun 26, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while Gemma 3n E4B Instructed has a cutoff of 2024-06-01.

Gemini 3.7 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Gemma 3n E4B Instructed (2024-06-01).

Gemini 3.7 Flash

Mar 2026

1.8 yr newer
Gemma 3n E4B Instructed

Jun 2024

Provider Availability

Gemini 3.7 Flash is available from Google. Gemma 3n E4B Instructed is available from Together.

Gemini 3.7 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

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

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemini 3.7 Flash and Gemma 3n E4B Instructed side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Gemma 3n E4B Instructed
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Gemma 3n E4B Instructed.

Which is better, Gemini 3.7 Flash or Gemma 3n E4B Instructed?

Gemini 3.7 Flash (Google) and Gemma 3n E4B Instructed (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.7 Flash compare to Gemma 3n E4B Instructed in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%.

Is Gemini 3.7 Flash cheaper than Gemma 3n E4B Instructed?

Gemini 3.7 Flash is 26.7x cheaper for input tokens. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output via google. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together.

What are the context window sizes for Gemini 3.7 Flash and Gemma 3n E4B Instructed?

Gemini 3.7 Flash supports 1.0M 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.

What are the main differences between Gemini 3.7 Flash and Gemma 3n E4B Instructed?

Key differences include context window (1.0M vs 32K), input pricing ($0.75 vs $20.00/M). See the full comparison above for benchmark-by-benchmark results.