Is Gemini 3.1 Flash Lite Preview good at Structured Output?
Gemini 3.1 Flash Lite Preview ranks #52 of 113 for Structured Output — excellent. The top pick for this task is GPT-5.4 Mini (max reasoning).
Best result with medium reasoning effort.
Gemini 3.1 Flash Lite Preview on each Structured Output sub-task
| Missing & Ambiguous Data | 100.0/100 | #34 |
| Transformation | 100.0/100 | #11 |
| Schema Adherence | 100.0/100 | #19 |
| Extraction | 90.7/100 | #58 |
| Noisy Structured Output Test | 80.2/100 | #76 |
Real examples, graded
WeakKey order requirement 42/100
“The model failed the core constraint of not adding wrapper text, providing conversational filler and implementation notes instead of a strict JSON output. While the prompt lacked a specific schema, the model should have output only the JSON block.”
WeakSchema with union type 32/100
“The model failed to return strict JSON, instead providing a generic explanation with markdown wrapper text. Because no input was provided in the prompt, the model invented user data to create examples, directly violating the constraint against inventing unprovided data and adding extraneous output.”
WeakExtract contact fields 2/100
“The model completely failed the strict JSON constraint by including conversational text and markdown. While the prompt omitted the input text, the model should have returned a valid JSON with null values or an empty JSON object rather than breaking the output format constraint.”
Frequently asked
Is Gemini 3.1 Flash Lite Preview good at Structured Output?
Gemini 3.1 Flash Lite Preview ranks #52 of 113 models we tested for Structured Output, scoring excellent.
What is Gemini 3.1 Flash Lite Preview's strongest Structured Output skill?
Its best sub-task here is Missing & Ambiguous Data.
This page is Spring Prompt, running in public
We just did this for every model. Do it for your prompt.
The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.
- Generate test cases from your prompt — no eval set required to start.
- Compare models side by side with quality, cost and latency in one matrix.
- Optimise the winner until the scores say it's ready to ship.
Prompt × model results
12 test cases · 3 evals