API cost decision in 10 seconds

🔥GLM 5.2 vs Sakana Namazu

Pick GLM 5.2 when budget and context both matter.

Page updated: 2026-08-19T00:07:57Z Data confirmed: 2026-08-23T12:07:48Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GLM 5.2 when budget and context both matter.

On the standard 1M input plus 500K output workload, GLM 5.2 is estimated at $2.48 vs $2.95 for Sakana Namazu, saving $0.47 (15.8% lower).

Cost-first pickGLM 5.2

Context-first pickGLM 5.2

Sample savings$0.4715.8%

10x traffic gap$4.66

GLM 5.2 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.66. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GLM 5.2 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GLM 5.2	Sakana Namazu
Input-heavy / RAG	5M input + 500K output	GLM 5.2	$6.35	$6.75
Balanced workload	1M input + 1M output	GLM 5.2	$4	$4.95
Output-heavy chatbot	1M input + 5M output	GLM 5.2	$16.15	$20.95

Cheaper input Sakana Namazu $0.966 vs $0.95 / 1M

Sakana Namazu is $0.02 cheaper per 1M input tokens (1.7% lower; 1.02x difference).

Cheaper output GLM 5.2 $3.036 vs $4 / 1M

GLM 5.2 is $0.96 cheaper per 1M output tokens (24.1% lower; 1.32x difference).

Larger context GLM 5.2 1.05M vs 262.14K

GLM 5.2 has 786.43K more context (4x larger).

Sample workload GLM 5.2 $2.48 vs $2.95

GLM 5.2 is $0.47 cheaper on the standard workload (15.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GLM 5.2 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

Sakana Namazu has the lower input price; GLM 5.2 has the lower output price; GLM 5.2 offers the larger context window. For the 1M input plus 500K output sample, GLM 5.2 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.48 for GLM 5.2 and $2.95 for Sakana Namazu.

Best Fit

Choose GLM 5.2 when you care most about lower output-token price, and larger context window.

Choose Sakana Namazu when you care most about lower input-token price.

Decision Notes

On the standard 1M input plus 500K output workload, GLM 5.2 is estimated at $2.48 vs $2.95 for Sakana Namazu, saving $0.47 (15.8% lower).
GLM 5.2 is $0.47 cheaper on the standard workload (15.8% lower).
Sakana Namazu is $0.02 cheaper per 1M input tokens (1.7% lower; 1.02x difference).
GLM 5.2 is $0.96 cheaper per 1M output tokens (24.1% lower; 1.32x difference).
GLM 5.2 has 786.43K more context (4x larger).

Head-to-Head Specs

Feature	🔥GLM 5.2 (Z.ai)	Sakana Namazu (Sakana)
Input Price prompt tokens per 1M	$0.966	$0.95
Completion Price per 1M tokens	$3.036	$4
Sample Workload Cost 1M input + 500K output	$2.48	$2.95
Context Window	1.05M	262.14K
Release Date	2026-06-16	2026-08-11
Popularity	#8

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GLM 5.2	On the standard 1M input plus 500K output workload, GLM 5.2 is estimated at $2.48 vs $2.95 for Sakana Namazu, saving $0.47 (15.8% 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	GLM 5.2	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GLM 5.2	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

GLM 5.2 (free) can replace GLM 5.2 when lower sample workload cost matters most: $0.
GLM 4.5 Air (free) can replace GLM 5.2 when lower sample workload cost matters most: $0.
GLM 4 32B can replace GLM 5.2 when lower sample workload cost matters most: $0.15.
GLM 4.7 Flash can replace GLM 5.2 when lower sample workload cost matters most: $0.26.

Larger context near this budget

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.

Popular competitors

DeepSeek V4 Flash 0731 · DeepSeek · #1
MiMo-V2.5 · Xiaomi · #2
Hy3 · Tencent · #3
Ox Alpha · stealth · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Z.ai catalog

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Sakana catalog

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

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GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

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,...