API cost decision in 10 seconds

Ling 3.0 Tiny (free) vs Fugu Ultra

Pick Ling 3.0 Tiny (free) for lower cost; pick Fugu Ultra only if the larger context window matters more.

Page updated: 2026-08-13T08:07:48Z Data confirmed: 2026-08-23T12:07:48Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Ling 3.0 Tiny (free) for lower cost; pick Fugu Ultra only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ling 3.0 Tiny (free) is estimated at $0 vs $20 for Fugu Ultra, saving $20 (100% lower).

Cost-first pickLing 3.0 Tiny (free)

Context-first pickFugu Ultra

Sample savings$20100%

10x traffic gap$200

Fugu Ultra has more context, but Ling 3.0 Tiny (free) saves $20 on the standard workload. At 10x that traffic, the same price gap is about $200. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ling 3.0 Tiny (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Ling 3.0 Tiny (free)	Fugu Ultra
Input-heavy / RAG	5M input + 500K output	Ling 3.0 Tiny (free)	$0	$40
Balanced workload	1M input + 1M output	Ling 3.0 Tiny (free)	$0	$35
Output-heavy chatbot	1M input + 5M output	Ling 3.0 Tiny (free)	$0	$155

Cheaper input Ling 3.0 Tiny (free) $0 vs $5 / 1M

Ling 3.0 Tiny (free) is free for input tokens while Fugu Ultra costs $5 per 1M tokens.

Cheaper output Ling 3.0 Tiny (free) $0 vs $30 / 1M

Ling 3.0 Tiny (free) is free for output tokens while Fugu Ultra costs $30 per 1M tokens.

Larger context Fugu Ultra 262.14K vs 1M

Fugu Ultra has 737.86K more context (3.81x larger).

Sample workload Ling 3.0 Tiny (free) $0 vs $20

Ling 3.0 Tiny (free) is free for the standard workload while the other model is estimated at $20.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Ling 3.0 Tiny (free) Calculating… Estimated API cost

Fugu Ultra Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Ling 3.0 Tiny (free) has the lower input price; Ling 3.0 Tiny (free) has the lower output price; Fugu Ultra offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Tiny (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Ling 3.0 Tiny (free) and $20 for Fugu Ultra.

Best Fit

Choose Ling 3.0 Tiny (free) when you care most about lower input-token price, and lower output-token price.

Choose Fugu Ultra when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Ling 3.0 Tiny (free) is estimated at $0 vs $20 for Fugu Ultra, saving $20 (100% lower).
Ling 3.0 Tiny (free) is free for the standard workload while the other model is estimated at $20.
Ling 3.0 Tiny (free) is free for input tokens while Fugu Ultra costs $5 per 1M tokens.
Ling 3.0 Tiny (free) is free for output tokens while Fugu Ultra costs $30 per 1M tokens.
Fugu Ultra has 737.86K more context (3.81x larger).

Head-to-Head Specs

Feature	Ling 3.0 Tiny (free) (inclusionAI)	Fugu Ultra (Sakana)
Input Price prompt tokens per 1M	$0	$5
Completion Price per 1M tokens	$0	$30
Sample Workload Cost 1M input + 500K output	$0	$20
Context Window	262.14K	1M
Release Date	2026-08-06	2026-06-24

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Ling 3.0 Tiny (free)	On the standard 1M input plus 500K output workload, Ling 3.0 Tiny (free) is estimated at $0 vs $20 for Fugu Ultra, saving $20 (100% lower).
High-volume input processing	Ling 3.0 Tiny (free)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Ling 3.0 Tiny (free)	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Fugu Ultra	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Sakana Namazu can replace Fugu Ultra when lower sample workload cost matters most: $2.95.

Larger context near this budget

Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.

Popular competitors

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Ox Alpha · stealth · #4

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

inclusionAI catalog

Review all tracked inclusionAI models before deciding whether this matchup is the right shortlist.

Open inclusionAI models

Sakana catalog

Check other Sakana models with comparable pricing, context, or release timing.

Open Sakana models

Ling 3.0 Tiny (free)

Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable...

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...