SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF vs Auto Router (Beta)

Auto Router (Beta) comes out ahead on the data we track: 8 advantages and none for SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF.

Key numbers

SpecSC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUFAuto Router (Beta)
ProviderHugging FaceOpenrouter
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 trackn/a99%
Context windown/a2M tokens (~3,000 pages)
Larger context than … of all modelsn/a99%
Max output per responsen/an/a
Input typestexttext, image, audio, file, video
Output typesimagetext, image
Free variantNoNo
Listed sincen/a2026-07-17
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What it costs for real workloads

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-GGUFAuto Router (Beta)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—

Capabilities side by side

CapabilitySC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUFAuto Router (Beta)What it lets you do
Tool / function calling—✓ Yescall your APIs and run agent loops
Structured output (JSON schema)—✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input—✓ Yesread screenshots, charts and scanned pages
Audio input—✓ Yestake speech or audio directly
File / PDF input—✓ Yesaccept documents without your own parsing step
Image output✓ Yes✓ Yesgenerate images, not just text
Built-in web search—✓ Yesanswer from live web results
Seed (reproducible sampling)—✓ Yesrepeat a generation for tests and evals
Log-probabilities—✓ Yesread token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

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.

Choose Auto Router (Beta) if…

  • you need tool / function calling — to call your APIs and run agent loops; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF does not advertise it
  • you need structured output (JSON schema) — to return JSON that validates against your schema; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF does not advertise it
  • you need image input — to read screenshots, charts and scanned pages; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF does not advertise it
  • you need audio input — to take speech or audio directly; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF does not advertise it
  • you need file / PDF input — to accept documents without your own parsing step; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF does not advertise it
  • you need built-in web search — to answer from live web results; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF does not advertise it
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF does not advertise it
  • you need log-probabilities — to read token confidence for classification and scoring; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF does not advertise it

Frequently asked questions

Is SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF better than Auto Router (Beta)?

Auto Router (Beta) comes out ahead on the data we track: 8 advantages and none for SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF.

Do SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF and Auto Router (Beta) support function calling and JSON output?

Tool calling — SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF: not advertised, Auto Router (Beta): yes. JSON-schema structured output — SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF: not advertised, Auto Router (Beta): yes.

Can SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF or Auto Router (Beta) read images?

Only Auto Router (Beta) accepts image input; SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF is text-only for input.

Is SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF or Auto Router (Beta) free to use?

No free variant is listed for either; both are pay-per-token.

About the two models

Compare SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF with other models

Compare Auto Router (Beta) with other models

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