Qwen3.8 2.4T A95B vs Gemini 3.8 Flash Cyber
At a Glance
| Compare | Gemini 3.8 Flash CyberGoogle DeepMind | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $6.00Deepinfra ↗ · Sep 21, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | Not reported |
| Model facts checked | Aug 28, 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 | Qwen3.8-2.4T-A95B | Gemini 3.8 Flash Cyber |
|---|---|---|
| Developer | Qwen | Google DeepMind |
| Family | Qwen3 8 2 4t A95b | Gemini 3 |
| Model | Qwen3.8-2.4T-A95B | Gemini 3.8 Flash Cyber |
| Version | Qwen3.8-2.4T-A95B | Gemini 3.8 Flash Cyber |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | Unknown |
| Total parameters | 2.4T | Unknown |
| Active parameters | 95B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | No |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | automated-patching, cybersecurity, reasoning, vulnerability-detection |
Qwen3.8 2.4T A95B Capabilities
Gemini 3.8 Flash Cyber Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs Gemini 3.8 Flash Cyber FAQs
Is Qwen3.8 2.4T A95B or Gemini 3.8 Flash Cyber better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B 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, Qwen3.8 2.4T A95B or Gemini 3.8 Flash Cyber?+
Only Qwen3.8 2.4T A95B has a directly sourced input price: $2.00 per million tokens. Only Qwen3.8 2.4T A95B has a directly sourced output price: $6.00 per million tokens.
Which has a larger context window, Qwen3.8 2.4T A95B or Gemini 3.8 Flash Cyber?+
Neither model has a larger sourced context window in this comparison. Qwen3.8 2.4T A95B is 262K and Gemini 3.8 Flash Cyber is —.
Which performs better in benchmarks, Qwen3.8 2.4T A95B 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 Qwen3.8 2.4T A95B or Gemini 3.8 Flash Cyber be self-hosted?+
Qwen3.8 2.4T A95B is the only model in this pair currently marked as self-hostable. Qwen3.8 2.4T A95B is open weight; Gemini 3.8 Flash Cyber is not marked open weight.
Can Qwen3.8 2.4T A95B and Gemini 3.8 Flash Cyber understand images?+
Qwen3.8 2.4T A95B is not 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, Qwen3.8 2.4T A95B or Gemini 3.8 Flash Cyber?+
Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Gemini 3.8 Flash Cyber is —.
Do Qwen3.8 2.4T A95B and Gemini 3.8 Flash Cyber support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. Gemini 3.8 Flash Cyber: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or Gemini 3.8 Flash Cyber?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; Gemini 3.8 Flash Cyber has 0, so Qwen3.8 2.4T A95B has broader tracked availability.
Which offers better value, Qwen3.8 2.4T A95B 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.