Neither wins outright: inclusionAI: Ling 3.0 Flash Fin is the pick when cost matters at scale, Mistral: Mistral Small 4 (batch) when you need structured output (JSON schema).
| Spec | inclusionAI: Ling 3.0 Flash Fin | Mistral: Mistral Small 4 (batch) |
|---|---|---|
| Provider | Inclusionai | Mistral AI |
| Input price (per 1M tokens) | $0.04 | $0.07 |
| Output price (per 1M tokens) | $0.12 | $0.30 |
| Blended price (3:1 input/output) | $0.06 | $0.13 |
| Cheaper than … of all models we track | 86% | 76% |
| Context window | 262K tokens (~393 pages) | 262K tokens (~393 pages) |
| Larger context than … of all models | 47% | 47% |
| Max output per response | 33K tokens (~24,600 words) | 210K tokens (~157,300 words) |
| Input types | text | text, image |
| Output types | text | text |
| Free variant | Yes | No |
| Listed since | 2026-08-27 | 2026-03-16 |
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 | Mistral: Mistral Small 4 (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $5.61 | $11.63 | inclusionAI: Ling 3.0 Flash Fin saves $6.01 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $6.27 | $12.00 | inclusionAI: Ling 3.0 Flash Fin saves $5.73 |
| 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) | $6.52 | $12.60 | inclusionAI: Ling 3.0 Flash Fin saves $6.08 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $4.10 | $7.80 | inclusionAI: Ling 3.0 Flash Fin saves $3.70 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $2.22 | $4.05 | inclusionAI: Ling 3.0 Flash Fin saves $1.83 |
| Capability | inclusionAI: Ling 3.0 Flash Fin | Mistral: Mistral Small 4 (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 | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | 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.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-10-03 | inclusionAI: Ling 3.0 Flash Fin | $0.04 | $0.12 |
| 2026-09-10 | Mistral: Mistral Small 4 (batch) | $0.07 | $0.30 |
Neither wins outright: inclusionAI: Ling 3.0 Flash Fin is the pick when cost matters at scale, Mistral: Mistral Small 4 (batch) when you need structured output (JSON schema). In short: inclusionAI: Ling 3.0 Flash Fin when cost matters at scale, you need log-probabilities, you want to prototype at zero cost, you want the newer model; Mistral: Mistral Small 4 (batch) when you need structured output (JSON schema), you need image input, you generate long outputs in one go.
inclusionAI: Ling 3.0 Flash Fin is cheaper: $0.06 vs $0.13 per 1M tokens at a typical 3:1 input/output mix, 53% less. For 50,000 support conversations a month that is $5.61 against $11.63.
inclusionAI: Ling 3.0 Flash Fin costs $0.04 per 1M input tokens and $0.12 per 1M output tokens; Mistral: Mistral Small 4 (batch) costs $0.07 input and $0.30 output. Output tokens are billed separately, so long answers shift the gap.
Both take 262K tokens per request — roughly 393 pages of text.
Tool calling — inclusionAI: Ling 3.0 Flash Fin: yes, Mistral: Mistral Small 4 (batch): yes. JSON-schema structured output — inclusionAI: Ling 3.0 Flash Fin: not advertised, Mistral: Mistral Small 4 (batch): yes.
Only Mistral: Mistral Small 4 (batch) accepts image input; inclusionAI: Ling 3.0 Flash Fin is text-only for input.
inclusionAI: Ling 3.0 Flash Fin has a free variant (inclusionai/ling-3.0-flash-fin:free). Free variants usually carry tighter rate limits.
inclusionAI: Ling 3.0 Flash Fin can write up to 33K tokens (about 24,600 words) per response; Mistral: Mistral Small 4 (batch) up to 210K (about 157,300 words).
inclusionAI: Ling 3.0 Flash Fin was listed on 2026-08-27; Mistral: Mistral Small 4 (batch) on 2026-03-16.
inclusionAI: Ling 3.0 Flash Fin: input price cut 30% ($0.06 → $0.04/1M), output price cut 32% ($0.18 → $0.12/1M) on 2026-10-03. Mistral: Mistral Small 4 (batch): input price cut 50% ($0.15 → $0.07/1M), output price cut 50% ($0.60 → $0.30/1M) on 2026-09-10.
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...
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