Gemini 3.8 Flash Cyber vs Grok Build 0.1
At a Glance
| Compare | Gemini 3.8 Flash CyberGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #1 of 44$0.0020 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | Not reported | 256K |
| Model facts checked | Sep 2, 2026View model evidence → | Sep 3, 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 3.8 Flash Cyber | Grok Build 0.1 |
|---|---|---|
| Developer | Google DeepMind | xAI |
| Family | Gemini 3 | Grok Build |
| Model | Gemini 3.8 Flash Cyber | Grok Build 0.1 |
| Version | Gemini 3.8 Flash Cyber | Grok Build 0.1 |
| Lifecycle | active | preview |
| Released | 2026-09-02 | 2026-05-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | Unknown | 256K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | No | Yes |
| Self-hostable | No | No |
| Provider access | Unknown | Xai (Standard) |
| Capabilities | automated-patching, cybersecurity, reasoning, vulnerability-detection | chat, generation, reasoning, structured_outputs, tools |
Gemini 3.8 Flash Cyber Capabilities
Grok Build 0.1 Capabilities
Primary Evidence
Sources and Freshness
Questions
Gemini 3.8 Flash Cyber vs Grok Build 0.1 FAQs
Is Gemini 3.8 Flash Cyber or Grok Build 0.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash Cyber and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.8 Flash Cyber or Grok Build 0.1?+
Only Grok Build 0.1 has a directly sourced input price: $1.00 per million tokens. Only Grok Build 0.1 has a directly sourced output price: $2.00 per million tokens.
Which has a larger context window, Gemini 3.8 Flash Cyber or Grok Build 0.1?+
Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash Cyber is — and Grok Build 0.1 is 256K.
Which performs better in benchmarks, Gemini 3.8 Flash Cyber or Grok Build 0.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.8 Flash Cyber or Grok Build 0.1 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.8 Flash Cyber is not marked open weight; Grok Build 0.1 is not marked open weight.
Can Gemini 3.8 Flash Cyber and Grok Build 0.1 understand images?+
Gemini 3.8 Flash Cyber is not documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.8 Flash Cyber or Grok Build 0.1?+
Neither has a larger sourced maximum output. Gemini 3.8 Flash Cyber is — and Grok Build 0.1 is —.
Do Gemini 3.8 Flash Cyber and Grok Build 0.1 support reasoning and tool use?+
Gemini 3.8 Flash Cyber: reasoning. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.8 Flash Cyber or Grok Build 0.1?+
Gemini 3.8 Flash Cyber has 0 sourced provider routes; Grok Build 0.1 has 1, so Grok Build 0.1 has broader tracked availability.
Which offers better value, Gemini 3.8 Flash Cyber or Grok Build 0.1?+
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.