Gemini 3.1 Flash-Lite vs GPT-5 mini
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Google · Mar 2026
The cheapest Gemini 3 model: multimodal input and a 1M context for $0.25/$1.50 — built for massive-scale pipelines.
OpenAI · Aug 2025
A fast, cheap distillation of GPT-5 for high-volume workloads — one fifth of the flagship's price with most of its everyday capability.
The verdict
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. Gemini 3.1 Flash-Lite is about 1.2x cheaper per blended million tokens (3:1 input:output mix). Gemini 3.1 Flash-Lite also takes 1M of context versus 400K for GPT-5 mini.
Specs & pricing
| Gemini 3.1 Flash-Lite | GPT-5 mini | |
|---|---|---|
| modhub Index | — | — |
| Input price / 1M | $0.25 | $0.25 |
| Output price / 1M | $1.5 | $2 |
| Context window | 1M | 400K |
| Max output | 66K | 128K |
| Open weights | no | no |
| Reasoning model | no | yes |
| Multimodal input | text, image, audio, video | text, image |
| Knowledge cutoff | Nov 2025 | May 2024 |
| Released | Mar 2026 | Aug 2025 |
| Example monthly cost* | $4.75 | $5.50 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, Gemini 3.1 Flash-Lite or GPT-5 mini?
- These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. Gemini 3.1 Flash-Lite is about 1.2x cheaper per blended million tokens (3:1 input:output mix). Gemini 3.1 Flash-Lite also takes 1M of context versus 400K for GPT-5 mini.
- Which is cheaper, Gemini 3.1 Flash-Lite or GPT-5 mini?
- Gemini 3.1 Flash-Lite costs $0.25/$1.5 per million input/output tokens, while GPT-5 mini costs $0.25/$2. For a typical workload of 10M input and 1.5M output tokens per month, that's $4.75 versus $5.50.
- Which model is better for coding, Gemini 3.1 Flash-Lite or GPT-5 mini?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.