AI Models · Open-Source vs Paid

GLM 5.3 (batch) Open vs SAFugu Ultra Paid

GLM 5.3 (batch) vs Fugu Ultra compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Fugu Ultra — full profile ›

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

GLM 5.3 (batch)OpenZ.AI

$0.45 /M input
$2 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window1M tokens

MultimodalNo

Self-hostYes

SAFugu UltraPaidSakana AI

$5 /M input
$30 /M outputManaged API (no infra to run)

TypeProprietary

Context window1M tokens

MultimodalYes

Self-hostNo

Choose GLM 5.3 (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Fugu Ultra if you want frontier capability through a managed API with zero infrastructure to run.

GLM 5.3 (batch) vs Fugu Ultra specs

Spec	GLM 5.3 (batch)	Fugu Ultra	Winner
Maker	Z.AI	Sakana AI	–
Type	Open-weight	Proprietary	GLM 5.3 (batch)
Context window	1M tokens	1M tokens	GLM 5.3 (batch)
Input price	$0.45/M · free self-host	$5/M	GLM 5.3 (batch)
Output price	$2/M · free self-host	$30/M	GLM 5.3 (batch)
Vision / multimodal	No	Yes	SAFugu Ultra
Tool / function calling	Yes	Yes	= Tie
Self-hostable	Yes	No (API only)	GLM 5.3 (batch)
License	MIT	Proprietary	GLM 5.3 (batch)

Price gap & when to choose each

15×cheaper per output token

GLM 5.3 (batch) is ~15× cheaper than Fugu Ultra on output tokens ($2 vs $30 per M tokens).

Choose GLM 5.3 (batch) if…

You want to self-host or run on your cloud
You need the longer 1M context window
You prioritize data privacy & control
You want the lowest operating costs
You are building open or reproducible AI

SAChoose Fugu Ultra if…

You want frontier performance through a managed API
You value reliability & ecosystem
You don't want to manage infrastructure

Feature comparison

Capability	GLM 5.3 (batch)	Fugu Ultra
Open weights (downloadable)	✓	✗
Self-hostable	✓	✗
Runs fully offline	✓	✗
Vision / multimodal	✗	✓
Tool / function calling	✓	✓
1M+ context window	✓	✓

Benchmarks: GLM 5.3 (batch) vs Fugu Ultra

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

GLM 5.3 (batch)

Fugu Ultra

Intelligence index

44.8

–

Coding index

74.8

–

GPQA

91.7%

–

Humanity's Last Exam

42.3%

–

Long Context Reasoning

79.7%

–

SciCode

59%

–

τ-Bench Banking

50.3%

–

Terminal-Bench

83.9%

–

Speed

83.3 tok/s

–

Latency

2.38s

–

Intelligence per $

20.8

–

Benchmark data by Artificial Analysis.

How GLM 5.3 (batch) and Fugu Ultra score

🏆 Best value & openness: GLM 5.3 (batch) (4.6 vs 3.1 / 5)

Criterion	GLM 5.3 (batch)	Fugu Ultra
Cost-efficiency	4.5	3.0
Context window	5.0	5.0
Openness	5.0	1.5
Self-hosting	5.0	1.0
Multimodality	3.5	5.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

GLM 5.3 (batch) Open

Z.AI · Open-weight

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

Fugu Ultra Paid

Sakana AI · Proprietary

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked

GLM 5.3GLM 5.3 FlashGLM 5.3 Flash (batch)GLM 5.2GLM 5GLM 5 TurboGLM 5.1GLM 5V TurboGLM 4.7GLM 4.6GLM 4.7 FlashGLM 4.5GLM 4.5 AirGLM 4.6VGLM 4.5VGLM 5.3 PrimeGLM 5.3 FlashX

Frequently asked questions

Is GLM 5.3 (batch) as good as Fugu Ultra?

GLM 5.3 (batch) is open-weight and competitive on many tasks, but Fugu Ultra may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run GLM 5.3 (batch) locally?

Yes. GLM 5.3 (batch) has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Fugu Ultra is API-only and cannot be self-hosted.

How much cheaper is GLM 5.3 (batch)?

GLM 5.3 (batch) costs $2/M output vs $30/M for Fugu Ultra — roughly 15x cheaper via API, and free if you self-host.

GLM 5.3 (batch) vs Fugu Ultra — which should I pick in 2026?

Choose GLM 5.3 (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Fugu Ultra if you want frontier capability through a managed API with zero infrastructure to run.

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