Gemma 4 E4B 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 | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image, speech, video |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 8B |
| Active parameters | 4.5B Number of parameters active per token during inference |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Gemma 4 E4B is amongst the leading models in intelligence and well priced when comparing to other open weight models of similar size. The model supports text, image, speech, and video input, outputs text, and has a 128k tokens context window.
Gemma 4 E4B scores 19 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 14). When evaluating the Intelligence Index, it generated 22M tokens, which is somewhat verbose in comparison to the average of 14M.
Pricing for Gemma 4 E4B is $0.00 per 1M input tokens (competitively priced, average: $0.06) and $0.00 per 1M output tokens (competitively priced, average: $0.17). In total, it cost $0.00 to evaluate Gemma 4 E4B on the Intelligence Index.
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 4 E4B 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
Frequently Asked Questions
Common questions about Gemma 4 E4B
Gemma 4 E4B was released on April 3, 2026.
Gemma 4 E4B was created by Google.
Gemma 4 E4B scores 19 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 14).
When evaluated on the Intelligence Index, Gemma 4 E4B generated 22M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 14M).
Yes, Gemma 4 E4B is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Gemma 4 E4B supports text, image, speech, and video input.
Gemma 4 E4B supports text output.
Yes, Gemma 4 E4B supports image input and can analyze, describe, and answer questions about images.
Yes, Gemma 4 E4B is multimodal. It can process text, image, speech, and video input and generate text output.
Gemma 4 E4B has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Gemma 4 E4B is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Gemma 4 E4B has 8 billion parameters (4.5 billion active).
Gemma 4 E4B is a Mixture of Experts (MoE) model with 8 billion total parameters, but only 4.5 billion active parameters are used during inference.
Gemma 4 E4B is released under the Apache 2.0 license. This license allows commercial use. View license
Gemma 4 E4B achieves a score of 19 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Gemma 4 E4B is an open weights model that can be self-hosted. View providers
Gemma 4 E4B is an open weights model that can be downloaded and self-hosted. Compare providers