AI21: Jamba Large 1.7 vs Sakana: Fugu Ultra

Neither wins outright: AI21: Jamba Large 1.7 is the pick when cost matters at scale, Sakana: Fugu Ultra when you need to fit long inputs in one request.

Key numbers

SpecAI21: Jamba Large 1.7Sakana: Fugu Ultra
ProviderAI21Sakana
Input price (per 1M tokens)$2.00$5.00
Output price (per 1M tokens)$8.00$30.00
Blended price (3:1 input/output)$3.50$11.25
Cheaper than … of all models we track18%5%
Context window256K tokens (~384 pages)1M tokens (~1,500 pages)
Larger context than … of all models45%69%
Max output per response4K tokens (~3,100 words)128K tokens (~96,000 words)
Input typestexttext, image
Output typestexttext
Free variantNoNo
Listed since2025-08-082026-06-24
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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 1.7Sakana: Fugu UltraDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$310$975AI21: Jamba Large 1.7 saves $665
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$320$900AI21: Jamba Large 1.7 saves $580
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$960AI21: Jamba Large 1.7 saves $624
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$208$580AI21: Jamba Large 1.7 saves $372
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$108$280AI21: Jamba Large 1.7 saves $172

Capabilities side by side

CapabilityAI21: Jamba Large 1.7Sakana: Fugu UltraWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode—✓ 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——accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search—✓ Yesanswer from live web results
Seed (reproducible sampling)——repeat 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…

  • cost matters at scale — it is 69% cheaper on a typical 3:1 input/output mix ($310 vs $975 a month for 50,000 support chats)

Choose Sakana: Fugu Ultra if…

  • you need to fit long inputs in one request — 1M tokens is roughly 1,500 pages, against 384
  • 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 image input — to read screenshots, charts and scanned pages; AI21: Jamba Large 1.7 does not advertise it
  • you need built-in web search — to answer from live web results; AI21: Jamba Large 1.7 does not advertise it
  • you generate long outputs in one go — up to 128K tokens (about 96,000 words) per response
  • you want the newer model — released 2026-06-24, 11 months after the other

Frequently asked questions

Is AI21: Jamba Large 1.7 better than Sakana: Fugu Ultra?

Neither wins outright: AI21: Jamba Large 1.7 is the pick when cost matters at scale, Sakana: Fugu Ultra when you need to fit long inputs in one request. In short: AI21: Jamba Large 1.7 when cost matters at scale; Sakana: Fugu Ultra when you need to fit long inputs in one request, you need reasoning / thinking mode, you need image input, you need built-in web search, you generate long outputs in one go, you want the newer model.

Which is cheaper, AI21: Jamba Large 1.7 or Sakana: Fugu Ultra?

AI21: Jamba Large 1.7 is cheaper: $3.50 vs $11.25 per 1M tokens at a typical 3:1 input/output mix, 69% less. For 50,000 support conversations a month that is $310 against $975.

How much do AI21: Jamba Large 1.7 and Sakana: Fugu Ultra cost per million tokens?

AI21: Jamba Large 1.7 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens; Sakana: Fugu Ultra costs $5.00 input and $30.00 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, AI21: Jamba Large 1.7 or Sakana: Fugu Ultra?

Sakana: Fugu Ultra: 1M tokens, about 1,500 pages, against 256K (about 384 pages) for AI21: Jamba Large 1.7.

Do AI21: Jamba Large 1.7 and Sakana: Fugu Ultra support function calling and JSON output?

Tool calling — AI21: Jamba Large 1.7: yes, Sakana: Fugu Ultra: yes. JSON-schema structured output — AI21: Jamba Large 1.7: yes, Sakana: Fugu Ultra: yes.

Can AI21: Jamba Large 1.7 or Sakana: Fugu Ultra read images?

Only Sakana: Fugu Ultra accepts image input; AI21: Jamba Large 1.7 is text-only for input.

Is AI21: Jamba Large 1.7 or Sakana: Fugu Ultra free to use?

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

What is the maximum output length of AI21: Jamba Large 1.7 and Sakana: Fugu Ultra?

AI21: Jamba Large 1.7 can write up to 4K tokens (about 3,100 words) per response; Sakana: Fugu Ultra up to 128K (about 96,000 words).

When were AI21: Jamba Large 1.7 and Sakana: Fugu Ultra released?

AI21: Jamba Large 1.7 was listed on 2025-08-08; Sakana: Fugu Ultra on 2026-06-24.

About the two models

Sakana

Sakana: Fugu Ultra

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

Full Sakana: Fugu Ultra specs →

Compare AI21: Jamba Large 1.7 with other models

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