API cost decision in 10 seconds

NewFugu Max vs Ling 3.0 Flash Fin

Pick Ling 3.0 Flash Fin for lower cost; pick Fugu Max only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Ling 3.0 Flash Fin for lower cost; pick Fugu Max only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $5 for Fugu Max, saving $4.85 (97% lower).

Cost-first pickLing 3.0 Flash Fin
Context-first pickFugu Max
Sample savings$4.8597%
10x traffic gap$48.5

Fugu Max has more context, but Ling 3.0 Flash Fin saves $4.85 on the standard workload. At 10x that traffic, the same price gap is about $48.5. 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 Flash Fin stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickFugu MaxLing 3.0 Flash Fin
Input-heavy / RAG5M input + 500K outputLing 3.0 Flash Fin$13$0.39
Balanced workload1M input + 1M outputLing 3.0 Flash Fin$8$0.24
Output-heavy chatbot1M input + 5M outputLing 3.0 Flash Fin$32$0.96
Cheaper input Ling 3.0 Flash Fin $2 vs $0.06 / 1M

Ling 3.0 Flash Fin is $1.94 cheaper per 1M input tokens (97% lower; 33.3x difference).

Cheaper output Ling 3.0 Flash Fin $6 vs $0.18 / 1M

Ling 3.0 Flash Fin is $5.82 cheaper per 1M output tokens (97% lower; 33.3x difference).

Larger context Fugu Max 1M vs 262.14K

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

Sample workload Ling 3.0 Flash Fin $5 vs $0.15

Ling 3.0 Flash Fin is $4.85 cheaper on the standard workload (97% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Fugu Max Calculating… Estimated API cost
Ling 3.0 Flash Fin 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 Flash Fin has the lower input price; Ling 3.0 Flash Fin has the lower output price; Fugu Max offers the larger context window. For the 1M input plus 500K output sample, Ling 3.0 Flash Fin is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $5 for Fugu Max and $0.15 for Ling 3.0 Flash Fin.

Best Fit

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

Choose Ling 3.0 Flash Fin when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $5 for Fugu Max, saving $4.85 (97% lower).
  • Ling 3.0 Flash Fin is $4.85 cheaper on the standard workload (97% lower).
  • Ling 3.0 Flash Fin is $1.94 cheaper per 1M input tokens (97% lower; 33.3x difference).
  • Ling 3.0 Flash Fin is $5.82 cheaper per 1M output tokens (97% lower; 33.3x difference).
  • Fugu Max has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureNewFugu Max
(Sakana)
Ling 3.0 Flash Fin
(inclusionAI)
Input Price
prompt tokens per 1M
$2$0.06
Completion Price
per 1M tokens
$6$0.18
Sample Workload Cost
1M input + 500K output
$5$0.15
Context Window1M262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLing 3.0 Flash FinOn the standard 1M input plus 500K output workload, Ling 3.0 Flash Fin is estimated at $0.15 vs $5 for Fugu Max, saving $4.85 (97% lower).
High-volume input processingLing 3.0 Flash FinLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLing 3.0 Flash FinLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workFugu MaxA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Sakana catalog

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inclusionAI catalog

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Fugu Max is the cost-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...

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