Choose SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Auto Router comes out ahead on the data we track: 8 advantages and none for SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF.
| Spec | SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF | Auto Router |
|---|---|---|
| Provider | Hugging Face | Openrouter |
| Input price (per 1M tokens) | n/a | $-1000000.0000 |
| Output price (per 1M tokens) | n/a | $-1000000.0000 |
| Blended price (3:1 input/output) | n/a | $-1000000.0000 |
| Cheaper than … of all models we track | n/a | 99% |
| Context window | n/a | 2M tokens (~3,000 pages) |
| Larger context than … of all models | n/a | 99% |
| Max output per response | n/a | n/a |
| Input types | text | text, image, audio, file, video |
| Output types | image | text, image |
| Free variant | No | No |
| Listed since | n/a | 2023-11-08 |
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF | Auto Router | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | n/a | $-95000000.0000 | — |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | n/a | $-130000000.0000 | — |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | n/a | $-132000000.0000 | — |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | n/a | $-86000000.0000 | — |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | n/a | $-51000000.0000 | — |
| Capability | SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF | Auto Router | What it lets you do |
|---|---|---|---|
| Tool / function calling | — | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | — | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | ✓ Yes | take speech or audio directly |
| File / PDF input | — | ✓ Yes | accept documents without your own parsing step |
| Image output | ✓ Yes | ✓ Yes | generate images, not just text |
| Built-in web search | — | ✓ Yes | answer from live web results |
| Seed (reproducible sampling) | — | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | ✓ Yes | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Auto Router comes out ahead on the data we track: 8 advantages and none for SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF.
Tool calling — SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF: not advertised, Auto Router: yes. JSON-schema structured output — SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF: not advertised, Auto Router: yes.
Only Auto Router accepts image input; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF is text-only for input.
No free variant is listed for either; both are pay-per-token.
No description provided yet.
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