Gemma 4 E4B (Reasoning) Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
USD per 1M tokens
Output Price
Verbosity
Gemma 4 E4B (Reasoning) is above average in intelligence, but particularly expensive when comparing to other open weight models of similar size. It's also notably slow, however fairly concise. The model supports text, image, speech, and video input, outputs text, and has a 128k tokens context window.
Gemma 4 E4B (Reasoning) scores 19 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 15). When evaluating the Intelligence Index, it generated 22M tokens, which is fairly concise in comparison to the average of 24M.
Pricing for Gemma 4 E4B (Reasoning) is $0.30 per 1M input tokens (expensive, average: $0.05) and $1.25 per 1M output tokens (expensive, average: $0.15). In total, it cost $170.19 to evaluate Gemma 4 E4B (Reasoning) on the Intelligence Index.
At 76 tokens per second, Gemma 4 E4B (Reasoning) is notably slow (103).
| 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 |
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
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (ELO-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
Visual reasoning
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 now includes a “Cache Hit Price” alongside Input and Output pricing, with new blend ratios.
Pricing: Cache Hit, Input, and Output
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 (Reasoning)
Gemma 4 E4B (Reasoning) was released on April 3, 2026.
Gemma 4 E4B (Reasoning) was created by Google.
Gemma 4 E4B (Reasoning) scores 19 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 15).
Gemma 4 E4B (Reasoning) generates output at 76.5 tokens per second (based on the median across providers serving the model), which is below average compared to other open weight models of similar size (median: 103.3 t/s).
Gemma 4 E4B (Reasoning) has a time to first token (TTFT) of 1.44s (based on the median across providers serving the model), which is better than average compared to other open weight models of similar size (median: 2.10s).
Gemma 4 E4B (Reasoning) costs $0.30 per 1M input tokens (at the higher end, median: $0.15) and $1.25 per 1M output tokens (at the higher end, median: $0.40), based on the median across providers serving the model.
Gemma 4 E4B (Reasoning) costs $0.30 per 1M input tokens and $1.25 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 $0.54 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Gemma 4 E4B (Reasoning) generated 22M output tokens, which is better than average compared to other open weight models of similar size (median: 24M).
Yes, Gemma 4 E4B (Reasoning) 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 (Reasoning) supports text, image, speech, and video input.
Gemma 4 E4B (Reasoning) supports text output.
Yes, Gemma 4 E4B (Reasoning) supports image input and can analyze, describe, and answer questions about images.
Yes, Gemma 4 E4B (Reasoning) is multimodal. It can process text, image, speech, and video input and generate text output.
Gemma 4 E4B (Reasoning) 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 (Reasoning) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Gemma 4 E4B (Reasoning) has 8 billion parameters (4.5 billion active).
Gemma 4 E4B (Reasoning) 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 (Reasoning) is released under the Apache 2.0 license. This license allows commercial use. View license
Gemma 4 E4B (Reasoning) 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 (Reasoning) is an open weights model that can be self-hosted. View providers
Gemma 4 E4B (Reasoning) is an open weights model that can be downloaded and self-hosted. Compare providers