Gemma 4 E2B 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 |
| Output modality | Supports: text, image |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 2.3B |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Gemma 4 E2B 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, and speech input, outputs text and image, and has a 128k tokens context window.
Gemma 4 E2B scores 15 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 8). When evaluating the Intelligence Index, it generated 20M tokens, which is somewhat verbose in comparison to the average of 12M.
Pricing for Gemma 4 E2B is $0.00 per 1M input tokens (competitively priced, average: $0.00) and $0.00 per 1M output tokens (competitively priced, average: $0.00). In total, it cost $0.00 to evaluate Gemma 4 E2B 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 E2B 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 E2B
Gemma 4 E2B was released on April 2, 2026.
Gemma 4 E2B was created by Google.
Gemma 4 E2B scores 15 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 8).
When evaluated on the Intelligence Index, Gemma 4 E2B generated 20M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 12M).
Yes, Gemma 4 E2B is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Gemma 4 E2B supports text, image, and speech input.
Gemma 4 E2B supports text and image output.
Yes, Gemma 4 E2B supports image input and can analyze, describe, and answer questions about images.
Yes, Gemma 4 E2B is multimodal. It can process text, image, and speech input and generate text and image output.
Gemma 4 E2B 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 E2B is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Gemma 4 E2B has 2.3 billion parameters.
Gemma 4 E2B is released under the Apache 2.0 license. This license allows commercial use. View license
Gemma 4 E2B achieves a score of 15 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Gemma 4 E2B is an open weights model that can be self-hosted. View providers
Gemma 4 E2B is an open weights model that can be downloaded and self-hosted. Compare providers