SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF vs OpenAI: GPT-5 Image

OpenAI: GPT-5 Image comes out ahead on the data we track: 6 advantages and none for SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF.

Key numbers

SpecSC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUFOpenAI: GPT-5 Image
ProviderHugging FaceOpenAI
Input price (per 1M tokens)n/a$10.00
Output price (per 1M tokens)n/a$10.00
Blended price (3:1 input/output)n/a$10.00
Cheaper than … of all models we trackn/a5%
Context windown/a400K tokens (~600 pages)
Larger context than … of all modelsn/a63%
Max output per responsen/a128K tokens (~96,000 words)
Input typestextimage, text, file
Output typesimageimage, text
Free variantNoNo
Listed sincen/a2025-10-14
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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-GGUFOpenAI: GPT-5 ImageDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
n/a$950—
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
n/a$1,300—
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$1,320—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
n/a$860—
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$510—

Capabilities side by side

CapabilitySC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUFOpenAI: GPT-5 ImageWhat it lets you do
Tool / function calling——call 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——take 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 OpenAI: GPT-5 Image if…

  • 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 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 OpenAI: GPT-5 Image?

OpenAI: GPT-5 Image comes out ahead on the data we track: 6 advantages and none for SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF.

Do SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF and OpenAI: GPT-5 Image support function calling and JSON output?

Tool calling — SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF: not advertised, OpenAI: GPT-5 Image: not advertised. JSON-schema structured output — SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF: not advertised, OpenAI: GPT-5 Image: yes.

Can SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF or OpenAI: GPT-5 Image read images?

Only OpenAI: GPT-5 Image 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 OpenAI: GPT-5 Image free to use?

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

About the two models

OpenAI

OpenAI: GPT-5 Image

[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code quality, and user experience while incorporating GPT Image 1's superior instruction following,...

Full OpenAI: GPT-5 Image specs →

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

Compare OpenAI: GPT-5 Image with other models

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