gemini-3.7-flash
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
gemini-3.7-flash API pricing — full price table, workload cost examples, and cheaper alternatives.
Release and Capabilities
| Public release | 2026-08-13 |
|---|---|
| Modalities | text, image, video, audio |
| Context window | 1,000,000 tokens |
Generally available through the Gemini API and Google AI Studio
Publisher-reported capabilities
- Google positions Gemini 3.7 Flash for coding, agentic workflows, and interactive applications.
- The model supports a 1M-token context window and configurable reasoning.
Official release and model references
Measured Coverage and Estimates
Gemini 3.7 Flash has 24 of 39 tracked IQ benchmark inputs across 7 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. Configured predecessor references: Gemini 3.6 Flash, Gemini 3.5 Flash. A reference is an estimation input, not evidence that this model has the predecessor's measured results.
Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Programmatic Reasoning (IQ 136) and Academic Reasoning (IQ 132). 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 | 117 | 4/5 |
| Mathematical Reasoning | 130 | 4/5 |
| Academic Reasoning | 132 | 5/6 |
| Programmatic Reasoning | 136 | 2/6 |
| Computer Use | 120 | 1/5 |
| Reliability | 127 | 5/6 |
| Knowledge Work | 129 | 3/6 |
Benchmark Results
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Frequently Asked Questions
- What is the IQ of gemini-3.7-flash?
- gemini-3.7-flash has an estimated IQ of 127, which ranks #17 out of 159 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 gemini-3.7-flash cost?
- gemini-3.7-flash costs $1.50 per million input tokens and $7.50 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $5.99 per million input-plus-output tokens.
- Is gemini-3.7-flash open source?
- No — gemini-3.7-flash is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
- When was gemini-3.7-flash released?
- gemini-3.7-flash was publicly released on August 13, 2026.
- How large is the context window of gemini-3.7-flash?
- gemini-3.7-flash supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.
- How fast is gemini-3.7-flash?
- In independent measurements, gemini-3.7-flash generates about 273 tokens per second, with a typical response time of about 7.5 seconds.