Choose Cohere: North Mini Code (free) if…
- you generate long outputs in one go — up to 64K tokens (about 48,000 words) per response
Cohere: North Mini Code (free) vs inclusionAI: Ling 3.0 Flash Fin (free)
Neither wins outright: Cohere: North Mini Code (free) is the pick when you generate long outputs in one go, inclusionAI: Ling 3.0 Flash Fin (free) when you need log-probabilities.
Key numbers
| Spec | Cohere: North Mini Code (free) | inclusionAI: Ling 3.0 Flash Fin (free) |
|---|---|---|
| Provider | Cohere | Inclusionai |
| Input price (per 1M tokens) | $0 | $0 |
| Output price (per 1M tokens) | $0 | $0 |
| Blended price (3:1 input/output) | $0 | $0 |
| Cheaper than … of all models we track | 90% | 90% |
| Context window | 256K tokens (~384 pages) | 262K tokens (~393 pages) |
| Larger context than … of all models | 45% | 48% |
| Max output per response | 64K tokens (~48,000 words) | 33K tokens (~24,600 words) |
| Input types | text | text |
| Output types | text | text |
| Free variant | Yes | Yes |
| Listed since | 2026-06-17 | 2026-08-27 |
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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) | Cohere: North Mini Code (free) | inclusionAI: Ling 3.0 Flash Fin (free) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $0 | $0 | — |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $0 | $0 | — |
| 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 | $0 | — |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $0 | $0 | — |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $0 | $0 | — |
Capabilities side by side
| Capability | Cohere: North Mini Code (free) | inclusionAI: Ling 3.0 Flash Fin (free) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | — | — | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | — | 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.
Price history
- Cohere: North Mini Code (free): price unchanged since we started tracking it on 2026-08-06.
- inclusionAI: Ling 3.0 Flash Fin (free): price unchanged since we started tracking it on 2026-08-28.
Which should you choose?
Choose inclusionAI: Ling 3.0 Flash Fin (free) if…
- you need log-probabilities — to read token confidence for classification and scoring; Cohere: North Mini Code (free) does not advertise it
Frequently asked questions
Is Cohere: North Mini Code (free) better than inclusionAI: Ling 3.0 Flash Fin (free)?
Neither wins outright: Cohere: North Mini Code (free) is the pick when you generate long outputs in one go, inclusionAI: Ling 3.0 Flash Fin (free) when you need log-probabilities. In short: Cohere: North Mini Code (free) when you generate long outputs in one go; inclusionAI: Ling 3.0 Flash Fin (free) when you need log-probabilities.
Which is cheaper, Cohere: North Mini Code (free) or inclusionAI: Ling 3.0 Flash Fin (free)?
They cost the same: $0 per 1M tokens at a 3:1 input/output mix.
How much do Cohere: North Mini Code (free) and inclusionAI: Ling 3.0 Flash Fin (free) cost per million tokens?
Cohere: North Mini Code (free) costs $0 per 1M input tokens and $0 per 1M output tokens; inclusionAI: Ling 3.0 Flash Fin (free) costs $0 input and $0 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Cohere: North Mini Code (free) or inclusionAI: Ling 3.0 Flash Fin (free)?
inclusionAI: Ling 3.0 Flash Fin (free): 262K tokens, about 393 pages, against 256K (about 384 pages) for Cohere: North Mini Code (free).
Do Cohere: North Mini Code (free) and inclusionAI: Ling 3.0 Flash Fin (free) support function calling and JSON output?
Tool calling — Cohere: North Mini Code (free): yes, inclusionAI: Ling 3.0 Flash Fin (free): yes. JSON-schema structured output — Cohere: North Mini Code (free): not advertised, inclusionAI: Ling 3.0 Flash Fin (free): not advertised.
Can Cohere: North Mini Code (free) or inclusionAI: Ling 3.0 Flash Fin (free) read images?
Neither accepts image input — both are text-in models.
Is Cohere: North Mini Code (free) or inclusionAI: Ling 3.0 Flash Fin (free) free to use?
Cohere: North Mini Code (free) has a free variant (cohere/north-mini-code:free); 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.
What is the maximum output length of Cohere: North Mini Code (free) and inclusionAI: Ling 3.0 Flash Fin (free)?
Cohere: North Mini Code (free) can write up to 64K tokens (about 48,000 words) per response; inclusionAI: Ling 3.0 Flash Fin (free) up to 33K (about 24,600 words).
When were Cohere: North Mini Code (free) and inclusionAI: Ling 3.0 Flash Fin (free) released?
Cohere: North Mini Code (free) was listed on 2026-06-17; inclusionAI: Ling 3.0 Flash Fin (free) on 2026-08-27.
About the two models
Cohere: North Mini Code (free)
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
Full Cohere: North Mini Code (free) specs →inclusionAI: Ling 3.0 Flash Fin (free)
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 →