gemma-4-e4b
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
gemma-4-e4b API pricing — full price table, workload cost examples, and cheaper alternatives.
Release and Capabilities
| Public release | 2026-04-02 |
|---|---|
| Context window | 128,000 tokens |
Measured Coverage and Estimates
Gemma 4 E4b has 13 of 39 tracked IQ benchmark inputs across 4 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete.
Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Programmatic Reasoning (IQ 100) and Academic Reasoning (IQ 97). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.
Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.
IQ Dimensions
| Dimension | IQ | Coverage |
|---|---|---|
| Abstract Reasoning | 82 | 0/5 |
| Mathematical Reasoning | 77 | 0/5 |
| Academic Reasoning | 97 | 5/6 |
| Programmatic Reasoning | 100 | 1/6 |
| Computer Use | 70 | 0/5 |
| Reliability | 97 | 3/6 |
| Knowledge Work | 93 | 4/6 |
Benchmark Results
Compare
Frequently Asked Questions
- What is the IQ of gemma-4-e4b?
- gemma-4-e4b has an estimated IQ of 88, which ranks #151 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- How much does gemma-4-e4b cost?
- gemma-4-e4b costs $0.02 per million input tokens and $0.10 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $0.0753 per million input-plus-output tokens.
- Is gemma-4-e4b open source?
- Yes — gemma-4-e4b is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
- When was gemma-4-e4b released?
- gemma-4-e4b was publicly released on April 2, 2026.
- How large is the context window of gemma-4-e4b?
- gemma-4-e4b supports a context window of 128,000 tokens — the amount of text it can consider in a single request.
- How fast is gemma-4-e4b?
- In independent measurements, gemma-4-e4b generates about 33 tokens per second, with a typical response time of about 77 seconds.