
Gemini 3 Flash vs 
Gemini 3.5 Flash
Compare pricing, speed, capacity, and benchmark scores of the selected models at a glance.
Gemini Flash is Google's multimodal reasoning option for everyday questions, coding and tool use with practical latency. It produces text from text, images, audio and video, combining thinking and tool support while remaining distinct from separate live-audio or image-generation models. AIB places document work in the middle of the pack, a current comparative position rather than a guaranteed success rate. Long inputs and tool access do not guarantee complete understanding or correct actions, so verify source-grounded answers and tool results on real tasks. Compare response time and total token use with correction effort, retries and service terms on representative inputs, rather than choosing solely from a demonstration or a headline benchmark.
Gemini Flash is Google's multimodal reasoning model for text generation, coding and tool-connected workflows. It targets Flash-class efficiency with coding and parallel agent work, while search, code execution and function calling depend on the configured environment rather than automatic control of every app. AIB places coding in the middle of the pack, a current comparative position rather than a guaranteed success rate. Long inputs and tool access do not guarantee complete understanding or correct actions, so verify source-grounded answers and tool results on real tasks. Compare response time and total token use with correction effort, retries and service terms on representative inputs, rather than choosing solely from a demonstration or a headline benchmark.
Gemini Flash is Google's multimodal reasoning option for everyday questions, coding and tool use with practical latency. It produces text from text, images, audio and video, combining thinking and tool support while remaining distinct from separate live-audio or image-generation models. AIB places document work in the middle of the pack, a current comparative position rather than a guaranteed success rate. Long inputs and tool access do not guarantee complete understanding or correct actions, so verify source-grounded answers and tool results on real tasks. Compare response time and total token use with correction effort, retries and service terms on representative inputs, rather than choosing solely from a demonstration or a headline benchmark.
Gemini Flash is Google's multimodal reasoning model for text generation, coding and tool-connected workflows. It targets Flash-class efficiency with coding and parallel agent work, while search, code execution and function calling depend on the configured environment rather than automatic control of every app. AIB places coding in the middle of the pack, a current comparative position rather than a guaranteed success rate. Long inputs and tool access do not guarantee complete understanding or correct actions, so verify source-grounded answers and tool results on real tasks. Compare response time and total token use with correction effort, retries and service terms on representative inputs, rather than choosing solely from a demonstration or a headline benchmark.
Top 10 models in the overall ranking
Updated 2026-11-08| Rank | Model | Overall | Automation | Docs & office | Coding | Cost (per 1M tokens) | Output speed |
|---|---|---|---|---|---|---|---|
| 🥇 | — | 92.1 tok/s | |||||
| 🥈 | $16.00 | 78.5 tok/s | |||||
| 🥉 | $40.00 | 68.0 tok/s | |||||
| 4 | $40.00 | 55.0 tok/s | |||||
| 5 | $8.00 | 35.0 tok/s | |||||
| 6 | $40.00 | 36.5 tok/s | |||||
| 7 | — | $8.00 | 41.5 tok/s | ||||
| 8 | — | $16.00 | 88.0 tok/s | ||||
| 9 | $3.50 | 91.5 tok/s | |||||
| 10 | $20.00 | 66.0 tok/s |
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