API cost decision in 10 seconds

🔥DeepSeek V4 Pro 0423 vs Sakana Namazu

Pick DeepSeek V4 Pro 0423 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 DeepSeek V4 Pro 0423 when budget and context both matter.

On the standard 1M input plus 500K output workload, DeepSeek V4 Pro 0423 is estimated at $0.79 vs $2.95 for Sakana Namazu, saving $2.16 (73.1% lower).

Cost-first pickDeepSeek V4 Pro 0423
Context-first pickDeepSeek V4 Pro 0423
Sample savings$2.1673.1%
10x traffic gap$21.56

DeepSeek V4 Pro 0423 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $21.56. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

DeepSeek V4 Pro 0423 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4 Pro 0423Sakana Namazu
Input-heavy / RAG5M input + 500K outputDeepSeek V4 Pro 0423$2.38$6.75
Balanced workload1M input + 1M outputDeepSeek V4 Pro 0423$1.19$4.95
Output-heavy chatbot1M input + 5M outputDeepSeek V4 Pro 0423$4.37$20.95
Cheaper input DeepSeek V4 Pro 0423 $0.3969 vs $0.95 / 1M

DeepSeek V4 Pro 0423 is $0.55 cheaper per 1M input tokens (58.2% lower; 2.39x difference).

Cheaper output DeepSeek V4 Pro 0423 $0.7938 vs $4 / 1M

DeepSeek V4 Pro 0423 is $3.21 cheaper per 1M output tokens (80.2% lower; 5.04x difference).

Larger context DeepSeek V4 Pro 0423 1.05M vs 262.14K

DeepSeek V4 Pro 0423 has 786.43K more context (4x larger).

Sample workload DeepSeek V4 Pro 0423 $0.79 vs $2.95

DeepSeek V4 Pro 0423 is $2.16 cheaper on the standard workload (73.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Pro 0423 Calculating… Estimated API cost
Sakana Namazu 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

DeepSeek V4 Pro 0423 has the lower input price; DeepSeek V4 Pro 0423 has the lower output price; DeepSeek V4 Pro 0423 offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V4 Pro 0423 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.79 for DeepSeek V4 Pro 0423 and $2.95 for Sakana Namazu.

Best Fit

Choose DeepSeek V4 Pro 0423 when you care most about lower input-token price, lower output-token price, and larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek V4 Pro 0423 is estimated at $0.79 vs $2.95 for Sakana Namazu, saving $2.16 (73.1% lower).
  • DeepSeek V4 Pro 0423 is $2.16 cheaper on the standard workload (73.1% lower).
  • DeepSeek V4 Pro 0423 is $0.55 cheaper per 1M input tokens (58.2% lower; 2.39x difference).
  • DeepSeek V4 Pro 0423 is $3.21 cheaper per 1M output tokens (80.2% lower; 5.04x difference).
  • DeepSeek V4 Pro 0423 has 786.43K more context (4x larger).
Head-to-Head Specs
Feature🔥DeepSeek V4 Pro 0423
(DeepSeek)
Sakana Namazu
(Sakana)
Input Price
prompt tokens per 1M
$0.3969$0.95
Completion Price
per 1M tokens
$0.7938$4
Sample Workload Cost
1M input + 500K output
$0.79$2.95
Context Window1.05M262.14K
Release Date
Popularity#10

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V4 Pro 0423On the standard 1M input plus 500K output workload, DeepSeek V4 Pro 0423 is estimated at $0.79 vs $2.95 for Sakana Namazu, saving $2.16 (73.1% lower).
High-volume input processingDeepSeek V4 Pro 0423Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V4 Pro 0423Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Pro 0423A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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DeepSeek catalog

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Sakana catalog

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

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DeepSeek V4 Pro 0423

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

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,...