Gemini 3.5 Flash vs GPT-5 nano
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Gemini 3.5 Flash
Google · May 2026
Google's I/O 2026 headliner: near-Pro intelligence at Flash speed, 78.8% on SWE-bench Verified with full multimodal input.
GPT-5 nano
OpenAI · Aug 2025
OpenAI's cheapest model — $0.05 per million input tokens — for latency-critical routing, autocomplete and bulk tagging.
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. On price the gap is dramatic: GPT-5 nano works out roughly 25x cheaper per blended million tokens. Gemini 3.5 Flash also takes 1M of context versus 400K for GPT-5 nano.
Specs & pricing
| Gemini 3.5 Flash | GPT-5 nano | |
|---|---|---|
| modhub Index | — | — |
| Input price / 1M | $1.5 | $0.05 |
| Output price / 1M | $9 | $0.4 |
| Context window | 1M | 400K |
| Max output | 66K | 128K |
| Open weights | no | no |
| Reasoning model | yes | yes |
| Multimodal input | text, image, audio, video | text, image |
| Knowledge cutoff | Feb 2026 | May 2024 |
| Released | May 2026 | Aug 2025 |
| Example monthly cost* | $28.50 | $1.10 |
* 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 3.5 Flash or GPT-5 nano?
- These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: GPT-5 nano works out roughly 25x cheaper per blended million tokens. Gemini 3.5 Flash also takes 1M of context versus 400K for GPT-5 nano.
- Which is cheaper, Gemini 3.5 Flash or GPT-5 nano?
- Gemini 3.5 Flash costs $1.5/$9 per million input/output tokens, while GPT-5 nano costs $0.05/$0.4. For a typical workload of 10M input and 1.5M output tokens per month, that's $28.50 versus $1.10.
- Which model is better for coding, Gemini 3.5 Flash or GPT-5 nano?
- We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.