AI21: Jamba Large 1.7 vs Cohere: North Mini Code (free)

Neither wins outright: AI21: Jamba Large 1.7 is the pick when you need structured output (JSON schema), Cohere: North Mini Code (free) when cost matters at scale.

Key numbers

SpecAI21: Jamba Large 1.7Cohere: North Mini Code (free)
ProviderAI21Cohere
Input price (per 1M tokens)$2.00$0
Output price (per 1M tokens)$8.00$0
Blended price (3:1 input/output)$3.50$0
Cheaper than … of all models we track18%90%
Context window256K tokens (~384 pages)256K tokens (~384 pages)
Larger context than … of all models45%45%
Max output per response4K tokens (~3,100 words)64K tokens (~48,000 words)
Input typestexttext
Output typestexttext
Free variantNoYes
Listed since2025-08-082026-06-17
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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)AI21: Jamba Large 1.7Cohere: North Mini Code (free)Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$310$0Cohere: North Mini Code (free) saves $310
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$320$0Cohere: North Mini Code (free) saves $320
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)
$336$0Cohere: North Mini Code (free) saves $336
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$208$0Cohere: North Mini Code (free) saves $208
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$108$0Cohere: North Mini Code (free) saves $108

Capabilities side by side

CapabilityAI21: Jamba Large 1.7Cohere: North Mini Code (free)What it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes—return JSON that validates against your schema
Reasoning / thinking mode—✓ Yesspend 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)—✓ Yesrepeat a generation for tests and evals
Log-probabilities——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

Which should you choose?

Choose AI21: Jamba Large 1.7 if…

  • you need structured output (JSON schema) — to return JSON that validates against your schema; Cohere: North Mini Code (free) does not advertise it

Choose Cohere: North Mini Code (free) if…

  • cost matters at scale — it is 100% cheaper on a typical 3:1 input/output mix ($0 vs $310 a month for 50,000 support chats)
  • you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; AI21: Jamba Large 1.7 does not advertise it
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; AI21: Jamba Large 1.7 does not advertise it
  • you generate long outputs in one go — up to 64K tokens (about 48,000 words) per response
  • you want to prototype at zero cost — a free variant is listed
  • you want the newer model — released 2026-06-17, 10 months after the other

Frequently asked questions

Is AI21: Jamba Large 1.7 better than Cohere: North Mini Code (free)?

Neither wins outright: AI21: Jamba Large 1.7 is the pick when you need structured output (JSON schema), Cohere: North Mini Code (free) when cost matters at scale. In short: AI21: Jamba Large 1.7 when you need structured output (JSON schema); Cohere: North Mini Code (free) when cost matters at scale, you need reasoning / thinking mode, you need seed (reproducible sampling), you generate long outputs in one go, you want to prototype at zero cost, you want the newer model.

Which is cheaper, AI21: Jamba Large 1.7 or Cohere: North Mini Code (free)?

Cohere: North Mini Code (free) is cheaper: $0 vs $3.50 per 1M tokens at a typical 3:1 input/output mix, 100% less. For 50,000 support conversations a month that is $0 against $310.

How much do AI21: Jamba Large 1.7 and Cohere: North Mini Code (free) cost per million tokens?

AI21: Jamba Large 1.7 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens; Cohere: North Mini Code (free) costs $0 input and $0 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, AI21: Jamba Large 1.7 or Cohere: North Mini Code (free)?

Both take 256K tokens per request — roughly 384 pages of text.

Do AI21: Jamba Large 1.7 and Cohere: North Mini Code (free) support function calling and JSON output?

Tool calling — AI21: Jamba Large 1.7: yes, Cohere: North Mini Code (free): yes. JSON-schema structured output — AI21: Jamba Large 1.7: yes, Cohere: North Mini Code (free): not advertised.

Can AI21: Jamba Large 1.7 or Cohere: North Mini Code (free) read images?

Neither accepts image input — both are text-in models.

Is AI21: Jamba Large 1.7 or Cohere: North Mini Code (free) free to use?

Cohere: North Mini Code (free) has a free variant (cohere/north-mini-code:free). Free variants usually carry tighter rate limits.

What is the maximum output length of AI21: Jamba Large 1.7 and Cohere: North Mini Code (free)?

AI21: Jamba Large 1.7 can write up to 4K tokens (about 3,100 words) per response; Cohere: North Mini Code (free) up to 64K (about 48,000 words).

When were AI21: Jamba Large 1.7 and Cohere: North Mini Code (free) released?

AI21: Jamba Large 1.7 was listed on 2025-08-08; Cohere: North Mini Code (free) on 2026-06-17.

About the two models

Compare AI21: Jamba Large 1.7 with other models

Compare Cohere: North Mini Code (free) with other models

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