Sakana Namazu is $1.55 cheaper per 1M input tokens (62% lower; 2.63x difference).
API cost decision in 10 seconds
Sakana Namazu vs GPT-5.5 (batch)
Pick Sakana Namazu for lower cost; pick GPT-5.5 (batch) only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Sakana Namazu for lower cost; pick GPT-5.5 (batch) only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Sakana Namazu is estimated at $2.95 vs $10 for GPT-5.5 (batch), saving $7.05 (70.5% lower).
Cost-first pickSakana Namazu
Context-first pickGPT-5.5 (batch)
Sample savings$7.0570.5%
10x traffic gap$70.5
GPT-5.5 (batch) has more context, but Sakana Namazu saves $7.05 on the standard workload. At 10x that traffic, the same price gap is about $70.5. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Sakana Namazu stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Sakana Namazu | GPT-5.5 (batch) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Sakana Namazu | $6.75 | $20 |
| Balanced workload | 1M input + 1M output | Sakana Namazu | $4.95 | $17.5 |
| Output-heavy chatbot | 1M input + 5M output | Sakana Namazu | $20.95 | $77.5 |
Sakana Namazu is $11 cheaper per 1M output tokens (73.3% lower; 3.75x difference).
GPT-5.5 (batch) has 787.86K more context (4.01x larger).
Sakana Namazu is $7.05 cheaper on the standard workload (70.5% lower).
Estimate your workload cost
Your Workload Cost
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
Sakana Namazu has the lower input price; Sakana Namazu has the lower output price; GPT-5.5 (batch) offers the larger context window. For the 1M input plus 500K output sample, Sakana Namazu 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 $10 for GPT-5.5 (batch).
Choose Sakana Namazu when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.5 (batch) when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Sakana Namazu is estimated at $2.95 vs $10 for GPT-5.5 (batch), saving $7.05 (70.5% lower).
- Sakana Namazu is $7.05 cheaper on the standard workload (70.5% lower).
- Sakana Namazu is $1.55 cheaper per 1M input tokens (62% lower; 2.63x difference).
- Sakana Namazu is $11 cheaper per 1M output tokens (73.3% lower; 3.75x difference).
- GPT-5.5 (batch) has 787.86K more context (4.01x larger).
| Feature | Sakana Namazu (Sakana) | GPT-5.5 (batch) (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.95 | $2.5 |
| Completion Price per 1M tokens | $4 | $15 |
| Sample Workload Cost 1M input + 500K output | $2.95 | $10 |
| Context Window | 262.14K | 1.05M |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Sakana Namazu | On the standard 1M input plus 500K output workload, Sakana Namazu is estimated at $2.95 vs $10 for GPT-5.5 (batch), saving $7.05 (70.5% lower). |
| High-volume input processing | Sakana Namazu | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Sakana Namazu | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.5 (batch) | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.5 (batch) when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.5 (batch) when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.5 (batch) when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.5 (batch) when lower sample workload cost matters most: $0.12.
- 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.
- DeepSeek V4 Flash 0731 · DeepSeek · #1
- MiMo-V2.5 · Xiaomi · #2
- Hy3 · Tencent · #3
- Ox Alpha · stealth · #4
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Open OpenAI modelsSakana 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,...
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...