Qwen3.8-2.4T-A95B vs Qwen3.8-Flash
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Qwen3.8-2.4T-A95B | Qwen3.8-Flash |
|---|---|---|
| Developer | Qwen | Qwen |
| Family | Qwen3 8 2 4t A95b | Qwen3 8 Flash |
| Model | Qwen3.8-2.4T-A95B | Qwen3.8-Flash |
| Version | Qwen3.8-2.4T-A95B | Qwen3.8-Flash |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 262,144 | 1,000,000 |
| Total parameters | 2,446,182,725,504 | Unknown |
| Active parameters | 95,000,000,000 | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Openrouter (Standard) | Alibaba Cloud Model Studio (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Qwen3.8-2.4T-A95B Capabilities
Qwen3.8-Flash Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs |  Hy4 previewTencent | cross-developer peerstext | |
Qwen3.7-PlusQwen | vs | Qwen3.8-FlashQwen | family variantsimage, text, video |
Qwen3.8-FlashQwen | vs | Qwen3.8-MaxQwen | family variantsimage, text, video |
Qwen3.8-FlashQwen | vs |  GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
 Gemini 2.5 FlashGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 3.5 FlashGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 2.5 Flash-LiteGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 3.1 Flash-LiteGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 3.5 Flash-LiteGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 3 FlashGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
Gemini 2.5 ProGoogle DeepMind | vs | Qwen3.8-FlashQwen | cross-developer peerstext |
| vs | family variantstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8-2.4T-A95B vs Qwen3.8-Flash FAQs
Is Qwen3.8-2.4T-A95B or Qwen3.8-Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8-2.4T-A95B and Qwen3.8-Flash, 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 Qwen3.8-Flash?+
Qwen3.8-2.4T-A95B is $2.00 and Qwen3.8-Flash is $0.15 per million tokens, so Qwen3.8-Flash is cheaper on this metric. Qwen3.8-2.4T-A95B is $6.00 and Qwen3.8-Flash is $0.47 per million tokens, so Qwen3.8-Flash is cheaper on this metric.
Which has a larger context window, Qwen3.8-2.4T-A95B or Qwen3.8-Flash?+
Qwen3.8-Flash has the larger sourced context window. Qwen3.8-2.4T-A95B supports 262,144 and Qwen3.8-Flash supports 1,000,000.
Which performs better in benchmarks, Qwen3.8-2.4T-A95B or Qwen3.8-Flash?+
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 Qwen3.8-Flash 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; Qwen3.8-Flash is not marked open weight.
Can Qwen3.8-2.4T-A95B and Qwen3.8-Flash understand images?+
Qwen3.8-2.4T-A95B is not documented with image input; Qwen3.8-Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.8-2.4T-A95B or Qwen3.8-Flash?+
Neither has a larger sourced maximum output. Qwen3.8-2.4T-A95B is — and Qwen3.8-Flash is 131,072.
Do Qwen3.8-2.4T-A95B and Qwen3.8-Flash support reasoning and tool use?+
Qwen3.8-2.4T-A95B: reasoning and tool calling. Qwen3.8-Flash: 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 Qwen3.8-Flash?+
Qwen3.8-2.4T-A95B has 2 sourced provider routes; Qwen3.8-Flash has 2, a tie.
Which offers better value, Qwen3.8-2.4T-A95B or Qwen3.8-Flash?+
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.