SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF vs OpenAI: GPT-5.4 Image 2

OpenAI: GPT-5.4 Image 2 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-5.4 Image 2
ProviderHugging FaceOpenAI
Input price (per 1M tokens)n/a$8.00
Output price (per 1M tokens)n/a$15.00
Blended price (3:1 input/output)n/a$9.75
Cheaper than … of all models we trackn/a7%
Context windown/a272K tokens (~408 pages)
Larger context than … of all modelsn/a62%
Max output per responsen/a128K tokens (~96,000 words)
Input typestextimage, text, file
Output typesimageimage, text
Free variantNoNo
Listed sincen/a2026-04-21
Advertisement

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-5.4 Image 2Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
n/a$900—
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
n/a$1,110—
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$1,140—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
n/a$730—
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$415—

Capabilities side by side

CapabilitySC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUFOpenAI: GPT-5.4 Image 2What 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-5.4 Image 2 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-5.4 Image 2?

OpenAI: GPT-5.4 Image 2 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-5.4 Image 2 support function calling and JSON output?

Tool calling — SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF: not advertised, OpenAI: GPT-5.4 Image 2: not advertised. JSON-schema structured output — SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF: not advertised, OpenAI: GPT-5.4 Image 2: yes.

Can SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF or OpenAI: GPT-5.4 Image 2 read images?

Only OpenAI: GPT-5.4 Image 2 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-5.4 Image 2 free to use?

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

About the two models

OpenAI

OpenAI: GPT-5.4 Image 2

[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...

Full OpenAI: GPT-5.4 Image 2 specs →

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

Compare OpenAI: GPT-5.4 Image 2 with other models

Advertisement