Qwen3.8 2.4T A95B vs Gemini Deep Research
At a Glance
| Compare |  Gemini Deep ResearchGoogle 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 | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 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 Deep Research |
|---|---|---|
| Developer | Qwen | Google DeepMind |
| Family | Qwen3 8 2 4t A95b | Gemini Agents |
| Model | Qwen3.8-2.4T-A95B | Gemini Deep Research |
| Version | Qwen3.8-2.4T-A95B | Gemini Deep Research |
| Lifecycle | active | preview |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text, Image |
| Context window | 262K | 1,049K |
| Total parameters | 2.4T | Unknown |
| Active parameters | 95B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning, tools | generation, reasoning, research, tools |
Qwen3.8 2.4T A95B Capabilities
Gemini Deep Research Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  GPT-6 AstraOpenAI | cross-developer peerstext | |
| vs | Claude Fable 5.1Anthropic | cross-developer peerstext | |
| vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext | |
| vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | family variantstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 2.4T A95B vs Gemini Deep Research FAQs
Is Qwen3.8 2.4T A95B or Gemini Deep Research better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 2.4T A95B and Gemini Deep Research, 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 Deep Research?+
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 Deep Research?+
Gemini Deep Research has the larger sourced context window. Qwen3.8 2.4T A95B supports 262K and Gemini Deep Research supports 1,049K.
Which performs better in benchmarks, Qwen3.8 2.4T A95B or Gemini Deep Research?+
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 Deep Research 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 Deep Research is not marked open weight.
Can Qwen3.8 2.4T A95B and Gemini Deep Research understand images?+
Qwen3.8 2.4T A95B is not documented with image input; Gemini Deep Research is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8 2.4T A95B or Gemini Deep Research?+
Neither has a larger sourced maximum output. Qwen3.8 2.4T A95B is — and Gemini Deep Research is 66K.
Do Qwen3.8 2.4T A95B and Gemini Deep Research support reasoning and tool use?+
Qwen3.8 2.4T A95B: reasoning and tool calling. Gemini Deep Research: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.8 2.4T A95B or Gemini Deep Research?+
Qwen3.8 2.4T A95B has 5 sourced provider routes; Gemini Deep Research has 2, so Qwen3.8 2.4T A95B has broader tracked availability.
Which offers better value, Qwen3.8 2.4T A95B or Gemini Deep Research?+
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.