Gemini 2.5 Flash vs Gemini 3.8 Flash Cyber
At a Glance
| Compare | Gemini 2.5 FlashGoogle DeepMind | Gemini 3.8 Flash CyberGoogle DeepMind |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.30Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | Not reported |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 2, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Gemini 2.5 Flash | Gemini 3.8 Flash Cyber |
|---|---|---|
| Developer | Google DeepMind | Google DeepMind |
| Family | Gemini 2 5 | Gemini 3 |
| Model | Gemini 2.5 Flash | Gemini 3.8 Flash Cyber |
| Version | Gemini 2.5 Flash | Gemini 3.8 Flash Cyber |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | 2025-01-01 | Unknown |
| Input modalities | Text, Image, Video, Audio | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | Unknown |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | No |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | automated-patching, cybersecurity, reasoning, vulnerability-detection |
Gemini 2.5 Flash Capabilities
Gemini 3.8 Flash Cyber Capabilities
Primary Evidence
Sources and Freshness
Questions
Gemini 2.5 Flash vs Gemini 3.8 Flash Cyber FAQs
Is Gemini 2.5 Flash or Gemini 3.8 Flash Cyber better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 2.5 Flash and Gemini 3.8 Flash Cyber, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 2.5 Flash or Gemini 3.8 Flash Cyber?+
Only Gemini 2.5 Flash has a directly sourced input price: $0.30 per million tokens. Only Gemini 2.5 Flash has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Gemini 2.5 Flash or Gemini 3.8 Flash Cyber?+
Gemini 2.5 Flash has a sourced context window of 1,048,576 tokens; Gemini 3.8 Flash Cyber's context window is not reported. A larger limit cannot be determined.
Which performs better in benchmarks, Gemini 2.5 Flash or Gemini 3.8 Flash Cyber?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 2.5 Flash or Gemini 3.8 Flash Cyber be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Gemini 2.5 Flash is not marked open weight; Gemini 3.8 Flash Cyber is not marked open weight.
Can Gemini 2.5 Flash and Gemini 3.8 Flash Cyber understand images?+
Gemini 2.5 Flash is documented with image input; Gemini 3.8 Flash Cyber is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 2.5 Flash or Gemini 3.8 Flash Cyber?+
Gemini 2.5 Flash has a sourced maximum output of 65,536 tokens; Gemini 3.8 Flash Cyber's maximum output is not reported. A larger limit cannot be determined.
Do Gemini 2.5 Flash and Gemini 3.8 Flash Cyber support reasoning and tool use?+
Gemini 2.5 Flash: reasoning, tool calling, and image input. Gemini 3.8 Flash Cyber: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 2.5 Flash or Gemini 3.8 Flash Cyber?+
Gemini 2.5 Flash has 2 sourced provider routes; Gemini 3.8 Flash Cyber has 0, so Gemini 2.5 Flash has broader tracked availability.
Which offers better value, Gemini 2.5 Flash or Gemini 3.8 Flash Cyber?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.