Gemma 3n E4B Instruct Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Knowledge cutoff | Aug 1, 2024 |
| Context window | 32k ~48 A4 pages of size 12 Arial font |
| Total parameters | 8.4B |
| Active parameters | 4B Number of parameters active per token during inference |
| License | Gemma license |
| Model weights | Hugging Face |
Gemma 3n E4B Instruct is among the least intelligent models, but reasonably priced when comparing to other open weight non-reasoning models of similar size. It's also notably slow and somewhat verbose. The model supports text and image input, outputs text, and has a 32k tokens context window with knowledge up to August 2024.
Gemma 3n E4B Instruct scores 6 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 12). When evaluating the Intelligence Index, it generated 10M tokens, which is somewhat verbose in comparison to the average of 5.6M.
Pricing for Gemma 3n E4B Instruct is $0.02 per 1M input tokens (moderately priced, average: $0.09) and $0.04 per 1M output tokens (moderately priced, average: $0.20). In total, it cost $5.72 to evaluate Gemma 3n E4B Instruct on the Intelligence Index.
At 42 tokens per second, Gemma 3n E4B Instruct is notably slow (104).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Gemma 3n E4B Instruct API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Comparisons to Gemma 3n E4B
- Gemma 3n E4B
gpt-oss-20B (high)- gpt-oss-120B (high)
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- GPT-5.4 Pro (xhigh)
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Llama 4 Maverick- Gemini 3.1 Flash-Lite Preview
- Gemini 3.1 Pro Preview
- Gemini 3 Flash
Claude Sonnet 4.6 (max)- Claude Opus 4.6 (max)
- Claude 4.5 Haiku
Mistral Large 3
DeepSeek V3.2
Grok 4.1 Fast- Grok 4.20 Beta 0309
Nova 2.0 Pro Preview (medium)
MiniMax-M2.5
NVIDIA Nemotron 3 Super- NVIDIA Nemotron 3 Nano
Kimi K2.5
K-EXAONE
MiMo-V2-Flash (Feb 2026)
K2 Think V2
Mi:dm K 2.5 Pro
GLM-5
Qwen3.5 397B A17B
Frequently Asked Questions
Common questions about Gemma 3n E4B Instruct
Gemma 3n E4B Instruct was released on June 26, 2025.
Gemma 3n E4B Instruct was created by Google.
Gemma 3n E4B Instruct scores 6 on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 12).
Gemma 3n E4B Instruct generates output at 41.7 tokens per second (based on the median across providers serving the model), which is at the lower end compared to other open weight non-reasoning models of similar size (median: 103.7 t/s).
Gemma 3n E4B Instruct has a time to first token (TTFT) of 1.11s (based on the median across providers serving the model), which is better than average compared to other open weight non-reasoning models of similar size (median: 1.29s).
Gemma 3n E4B Instruct costs $0.02 per 1M input tokens (very competitive, median: $0.17) and $0.04 per 1M output tokens (very competitive, median: $0.45), based on the median across providers serving the model.
Gemma 3n E4B Instruct costs $0.02 per 1M input tokens and $0.04 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.03 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Gemma 3n E4B Instruct generated 10M output tokens, which is somewhat higher than average compared to other open weight non-reasoning models of similar size (median: 5.6M).
No, Gemma 3n E4B Instruct is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Gemma 3n E4B Instruct supports text and image input.
Gemma 3n E4B Instruct supports text output.
Yes, Gemma 3n E4B Instruct supports image input and can analyze, describe, and answer questions about images.
Yes, Gemma 3n E4B Instruct is multimodal. It can process text and image input and generate text output.
Gemma 3n E4B Instruct has a context window of 32k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Gemma 3n E4B Instruct is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Gemma 3n E4B Instruct has 8.39 billion parameters (4 billion active).
Gemma 3n E4B Instruct is a Mixture of Experts (MoE) model with 8.39 billion total parameters, but only 4 billion active parameters are used during inference.
Gemma 3n E4B Instruct is released under the Gemma license license. This license allows commercial use. View license
Gemma 3n E4B Instruct achieves a score of 6 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Gemma 3n E4B Instruct has a knowledge cutoff of August 2024. The model's training data includes information up to this date.
Yes, Gemma 3n E4B Instruct is available via API through 1 provider. Compare API providers
Gemma 3n E4B Instruct is available through 1 API provider. Compare providers