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Head-to-head comparison

Relace Apply 3 vs Sakana Namazu

Relace Apply 3 (Relace) and Sakana Namazu (Sakana AI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, Relace Apply 3 holds the stronger ModelCap Index position (#154 vs #157); Relace Apply 3 is 3.2× cheaper per output token ($1.25/1M vs $4.00/1M); and Sakana Namazu offers the longer context window (262K vs 256K tokens).

Which should you choose?

Choose Relace Apply 3 if…

  • you want the stronger overall ModelCap Index position — #154 against #157 (22.5 vs 22.5 points).
  • API cost matters — $1.25/1M output tokens against $4.00/1M, about 3.2× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.85/1M against $0.95/1M.

Choose Sakana Namazu if…

  • you need the longer context window — 262K tokens against 256K.
  • you want the more recently listed model — Sakana Namazu was listed 11 August 2026, Relace Apply 3 26 September 2025.

Relace Apply 3 vs Sakana Namazu: specs, pricing and context

Specification comparison of Relace Apply 3 and Sakana Namazu
FieldRelace Apply 3RelaceSakana NamazuSakana AI
ModelCap Index position#154#157
Index score22.522.5
EvidenceEstimatedEstimated
Input price / 1M tokens$0.85$0.95
Output price / 1M tokens$1.25$4.00
Context window256K tokens262K tokens
Max output tokens128K66K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesTextText, Image, File
First listed26 September 202511 August 2026
PublisherRelaceSakana AI

Evidence: global corpus prior · leave-one-anchor-out calibrated · global corpus prior · leave-one-anchor-out calibrated. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Relace Apply 3 vs Sakana Namazu

Neither model has a published result on a public benchmark board ModelCap tracks yet.

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Relace Apply 3 vs Sakana Namazu: common questions

Is Relace Apply 3 better than Sakana Namazu?

Relace Apply 3 ranks higher on the ModelCap Index as of 17 August 2026: #154 against #157. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Relace Apply 3 cheaper than Sakana Namazu?

Relace Apply 3 is cheaper on output tokens: $1.25/1M against $4.00/1M. Input tokens are $0.85/1M for Relace Apply 3 and $0.95/1M for Sakana Namazu. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Relace Apply 3 or Sakana Namazu?

Sakana Namazu has the larger context window: 262K tokens against 256K.

Which is better for coding, Relace Apply 3 or Sakana Namazu?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Relace Apply 3 and Sakana Namazu open-weight models?

Relace Apply 3: API only. Sakana Namazu: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Relace Apply 3 and Sakana Namazu?

ModelCap currently lists 1 API provider for Relace Apply 3 and 1 for Sakana Namazu, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Relace Apply 3 vs Sakana Namazu comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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