Gemini 3.8 Flash Cyber vs GLM 5.2
At a Glance
| Compare |  Gemini 3.8 Flash CyberGoogle DeepMind |  GLM 5.2Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #23 of 4661.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.3–74.6 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #12 of 44$0.056 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #7 of 3861.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 51.0–67.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.75Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.40Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | Not reported | 1,049K |
| Model facts checked | Sep 2, 2026View model evidence → | Aug 28, 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 | GLM-5.2 |
|---|---|---|
| Developer | Google DeepMind | Z.ai |
| Family | Gemini 3 | Glm 5 2 |
| Model | Gemini 3.8 Flash Cyber | GLM-5.2 |
| Version | Gemini 3.8 Flash Cyber | GLM-5.2 |
| Lifecycle | active | active |
| Released | 2026-09-02 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | Unknown | 1,049K |
| Total parameters | Unknown | 753.3B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | No | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | automated-patching, cybersecurity, reasoning, vulnerability-detection | chat, generation, reasoning, tools |
Gemini 3.8 Flash Cyber Capabilities
GLM 5.2 Capabilities
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Gemini 3.8 Flash CyberGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.8 Flash CyberGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.8 Flash CyberGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.8 Flash CyberGoogle DeepMind | cross-developer peerstext |
Gemini 3.8 Flash CyberGoogle DeepMind | vs | GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3.8 Flash CyberGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.8 Flash CyberGoogle DeepMind | cross-developer peerstext |
Gemini 3.8 Flash CyberGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.8 Flash Cyber vs GLM 5.2 FAQs
Is Gemini 3.8 Flash Cyber or GLM 5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash Cyber and GLM 5.2, 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 GLM 5.2?+
Only GLM 5.2 has a directly sourced input price: $0.75 per million tokens. Only GLM 5.2 has a directly sourced output price: $2.40 per million tokens.
Which has a larger context window, Gemini 3.8 Flash Cyber or GLM 5.2?+
Neither model has a larger sourced context window in this comparison. Gemini 3.8 Flash Cyber is — and GLM 5.2 is 1,049K.
Which performs better in benchmarks, Gemini 3.8 Flash Cyber or GLM 5.2?+
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 GLM 5.2 be self-hosted?+
GLM 5.2 is the only model in this pair currently marked as self-hostable. Gemini 3.8 Flash Cyber is not marked open weight; GLM 5.2 is open weight.
Can Gemini 3.8 Flash Cyber and GLM 5.2 understand images?+
Gemini 3.8 Flash Cyber is not documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.8 Flash Cyber or GLM 5.2?+
Neither has a larger sourced maximum output. Gemini 3.8 Flash Cyber is — and GLM 5.2 is —.
Do Gemini 3.8 Flash Cyber and GLM 5.2 support reasoning and tool use?+
Gemini 3.8 Flash Cyber: reasoning. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.8 Flash Cyber or GLM 5.2?+
Gemini 3.8 Flash Cyber has 0 sourced provider routes; GLM 5.2 has 5, so GLM 5.2 has broader tracked availability.
Which offers better value, Gemini 3.8 Flash Cyber or GLM 5.2?+
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.