Neither wins outright: inclusionAI: Ling 3.0 Flash Fin (free) is the pick when cost matters at scale, OpenAI: GPT-5.4 Mini (batch) when you need to fit long inputs in one request.
| Spec | inclusionAI: Ling 3.0 Flash Fin (free) | OpenAI: GPT-5.4 Mini (batch) |
|---|---|---|
| Provider | Inclusionai | OpenAI |
| Input price (per 1M tokens) | $0 | $0.38 |
| Output price (per 1M tokens) | $0 | $2.25 |
| Blended price (3:1 input/output) | $0 | $0.84 |
| Cheaper than … of all models we track | 90% | 44% |
| Context window | 262K tokens (~393 pages) | 400K tokens (~600 pages) |
| Larger context than … of all models | 48% | 63% |
| Max output per response | 33K tokens (~24,600 words) | 128K tokens (~96,000 words) |
| Input types | text | file, image, text |
| Output types | text | text |
| Free variant | Yes | No |
| Listed since | 2026-08-27 | 2026-03-17 |
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) | inclusionAI: Ling 3.0 Flash Fin (free) | OpenAI: GPT-5.4 Mini (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $0 | $73.13 | inclusionAI: Ling 3.0 Flash Fin (free) saves $73.13 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $0 | $67.50 | inclusionAI: Ling 3.0 Flash Fin (free) saves $67.50 |
| 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) | $0 | $72.00 | inclusionAI: Ling 3.0 Flash Fin (free) saves $72.00 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $0 | $43.50 | inclusionAI: Ling 3.0 Flash Fin (free) saves $43.50 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $0 | $21.00 | inclusionAI: Ling 3.0 Flash Fin (free) saves $21.00 |
| Capability | inclusionAI: Ling 3.0 Flash Fin (free) | OpenAI: GPT-5.4 Mini (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ 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 | — | — | take speech or audio directly |
| File / PDF input | — | ✓ Yes | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | ✓ Yes | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ 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.
Neither wins outright: inclusionAI: Ling 3.0 Flash Fin (free) is the pick when cost matters at scale, OpenAI: GPT-5.4 Mini (batch) when you need to fit long inputs in one request. In short: inclusionAI: Ling 3.0 Flash Fin (free) when cost matters at scale, you need log-probabilities, you want to prototype at zero cost, you want the newer model; OpenAI: GPT-5.4 Mini (batch) when you need to fit long inputs in one request, you need structured output (JSON schema), you need image input, you need file / PDF input, you need built-in web search, you generate long outputs in one go.
inclusionAI: Ling 3.0 Flash Fin (free) is cheaper: $0 vs $0.84 per 1M tokens at a typical 3:1 input/output mix, 100% less. For 50,000 support conversations a month that is $0 against $73.13.
inclusionAI: Ling 3.0 Flash Fin (free) costs $0 per 1M input tokens and $0 per 1M output tokens; OpenAI: GPT-5.4 Mini (batch) costs $0.38 input and $2.25 output. Output tokens are billed separately, so long answers shift the gap.
OpenAI: GPT-5.4 Mini (batch): 400K tokens, about 600 pages, against 262K (about 393 pages) for inclusionAI: Ling 3.0 Flash Fin (free).
Tool calling — inclusionAI: Ling 3.0 Flash Fin (free): yes, OpenAI: GPT-5.4 Mini (batch): yes. JSON-schema structured output — inclusionAI: Ling 3.0 Flash Fin (free): not advertised, OpenAI: GPT-5.4 Mini (batch): yes.
Only OpenAI: GPT-5.4 Mini (batch) accepts image input; inclusionAI: Ling 3.0 Flash Fin (free) is text-only for input.
inclusionAI: Ling 3.0 Flash Fin (free) has a free variant (inclusionai/ling-3.0-flash-fin:free). Free variants usually carry tighter rate limits.
inclusionAI: Ling 3.0 Flash Fin (free) can write up to 33K tokens (about 24,600 words) per response; OpenAI: GPT-5.4 Mini (batch) up to 128K (about 96,000 words).
inclusionAI: Ling 3.0 Flash Fin (free) was listed on 2026-08-27; OpenAI: GPT-5.4 Mini (batch) on 2026-03-17.
Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...
Full inclusionAI: Ling 3.0 Flash Fin (free) specs →GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
Full OpenAI: GPT-5.4 Mini (batch) specs →