Model Comparison

Gemma 3n E4B Instructed vs Step-3.5-Flash

Step-3.5-Flash significantly outperforms across most benchmarks. Step-3.5-Flash is 142.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Step-3.5-Flash is better at 1 benchmark (AIME 2025).

Step-3.5-Flash significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Step-3.5-Flash costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 200.0x more expensive than Step-3.5-Flash ($0.10/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 100.0x more expensive than Step-3.5-Flash ($0.40/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Step-3.5-Flash.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
StepFun
Step-3.5-Flash
Input tokens$0.10
Output tokens$0.40
Best providerStepFun
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

188.0B diff

Step-3.5-Flash has 188.0B more parameters than Gemma 3n E4B Instructed, making it 2350.0% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
StepFun
Step-3.5-Flash
196.0Bparameters
8.0B
Gemma 3n E4B Instructed
196.0B
Step-3.5-Flash

Context Window

Maximum input and output token capacity

Step-3.5-Flash accepts 65,536 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 Step-3.5-Flash is limited to 8,192 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
StepFun
Step-3.5-Flash
Input65,536 tokens
Output8,192 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas Step-3.5-Flash does not.

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

Gemma 3n E4B Instructed

Text
Images
Audio
Video

Step-3.5-Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed is licensed under a proprietary license, while Step-3.5-Flash uses Apache 2.0.

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

Gemma 3n E4B Instructed

Proprietary

Closed source

Step-3.5-Flash

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B Instructed was released on 2025-06-26, while Step-3.5-Flash was released on 2026-02-02.

Step-3.5-Flash is 7 months newer than Gemma 3n E4B Instructed.

Gemma 3n E4B Instructed

Jun 26, 2025

9 months ago

Step-3.5-Flash

Feb 2, 2026

2 months ago

7mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Step-3.5-Flash's cutoff date is not specified.

We can confirm Gemma 3n E4B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Step-3.5-Flash's cutoff date.

Gemma 3n E4B Instructed

Jun 2024

Step-3.5-Flash

—

Provider Availability

Gemma 3n E4B Instructed is available from Together. Step-3.5-Flash is available from StepFun.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Step-3.5-Flash

stepfun logo
StepFun
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
StepFun
Larger context window (65,536 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (97.3% vs 11.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
StepFun
Step-3.5-Flash

FAQ

Common questions about Gemma 3n E4B Instructed vs Step-3.5-Flash

Step-3.5-Flash significantly outperforms across most benchmarks. Gemma 3n E4B Instructed is made by Google and Step-3.5-Flash is made by StepFun. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Step-3.5-Flash scores AIME 2025: 97.3%, Tau-bench: 88.2%, LiveCodeBench v6: 86.4%, IMO-AnswerBench: 85.4%, SWE-Bench Verified: 74.4%.
Step-3.5-Flash is 200.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Step-3.5-Flash costs $0.10/M input and $0.40/M output via stepfun.
Gemma 3n E4B Instructed supports 32K tokens and Step-3.5-Flash supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (32K vs 66K), input pricing ($20.00 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B Instructed is developed by Google and Step-3.5-Flash is developed by StepFun.