API cost decision in 10 seconds

Sakana Namazu vs Inkling Small

Pick Inkling Small when budget and context both matter.

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

Budget verdict

Pick Inkling Small when budget and context both matter.

On the standard 1M input plus 500K output workload, Inkling Small is estimated at $1.05 vs $2.95 for Sakana Namazu, saving $1.9 (64.4% lower).

Cost-first pickInkling Small
Context-first pickInkling Small
Sample savings$1.964.4%
10x traffic gap$19

Inkling Small is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $19. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Inkling Small stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickSakana NamazuInkling Small
Input-heavy / RAG5M input + 500K outputInkling Small$6.75$2.85
Balanced workload1M input + 1M outputInkling Small$4.95$1.65
Output-heavy chatbot1M input + 5M outputInkling Small$20.95$6.45
Cheaper input Inkling Small $0.95 vs $0.45 / 1M

Inkling Small is $0.5 cheaper per 1M input tokens (52.6% lower; 2.11x difference).

Cheaper output Inkling Small $4 vs $1.2 / 1M

Inkling Small is $2.8 cheaper per 1M output tokens (70% lower; 3.33x difference).

Larger context Inkling Small 262.14K vs 1.05M

Inkling Small has 786.43K more context (4x larger).

Sample workload Inkling Small $2.95 vs $1.05

Inkling Small is $1.9 cheaper on the standard workload (64.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Sakana Namazu Calculating… Estimated API cost
Inkling Small 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

Inkling Small has the lower input price; Inkling Small has the lower output price; Inkling Small offers the larger context window. For the 1M input plus 500K output sample, Inkling Small is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.95 for Sakana Namazu and $1.05 for Inkling Small.

Best Fit

Choose Sakana Namazu when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Inkling Small when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Inkling Small is estimated at $1.05 vs $2.95 for Sakana Namazu, saving $1.9 (64.4% lower).
  • Inkling Small is $1.9 cheaper on the standard workload (64.4% lower).
  • Inkling Small is $0.5 cheaper per 1M input tokens (52.6% lower; 2.11x difference).
  • Inkling Small is $2.8 cheaper per 1M output tokens (70% lower; 3.33x difference).
  • Inkling Small has 786.43K more context (4x larger).
Head-to-Head Specs
FeatureSakana Namazu
(Sakana)
Inkling Small
(Thinking Machines)
Input Price
prompt tokens per 1M
$0.95$0.45
Completion Price
per 1M tokens
$4$1.2
Sample Workload Cost
1M input + 500K output
$2.95$1.05
Context Window262.14K1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionInkling SmallOn the standard 1M input plus 500K output workload, Inkling Small is estimated at $1.05 vs $2.95 for Sakana Namazu, saving $1.9 (64.4% lower).
High-volume input processingInkling SmallLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsInkling SmallLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workInkling SmallA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Inkling Small (free) can replace Inkling Small when lower sample workload cost matters most: $0.
  • Inkling (free) can replace Inkling Small when lower sample workload cost matters most: $0.

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

Sakana catalog

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

Open Sakana models
Sakana Namazu

Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction following,...

Inkling Small

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...