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Fugu Ultra vs GLM 5.2

Detailed technical comparison between Fugu Ultra (Sakana AI) and GLM 5.2 (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Fugu Ultra: 0 WinsvsGLM 5.2: 6 Wins
Context Leader

GLM 5.2

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.2

$0.80 / MTok
Sakana AIactive

Fugu Ultra

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...

View Fugu Ultra Full Specs โ†’
Zhipu AIactive

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,...

View GLM 5.2 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationFugu UltraGLM 5.2
ProviderSakana AIZhipu AI
Context Window1,000,000 tokens1,048,576 tokens๐Ÿ†
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetabeta
API AvailableYesYes
Released Date2026-06-242026-06-16

API Pricing Comparison

Input Price per Million Tokens

Fugu Ultra

$5.00

GLM 5.2

$0.80

Output Price per Million Tokens

Fugu Ultra

$30.00

GLM 5.2

$2.50

๐Ÿ’ก Cost Ratio: GLM 5.2 is 6.3x cheaper per input token than Fugu Ultra.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
85.4%vs89.5%+4.1% GLM 5.2
Fugu Ultra
GLM 5.2 ๐Ÿ†
HumanEvalPython coding & logic synthesis
84.6%vs91.2%+6.6% GLM 5.2
Fugu Ultra
GLM 5.2 ๐Ÿ†
MATHComplex mathematical problem solving
65.8%vs80.5%+14.7% GLM 5.2
Fugu Ultra
GLM 5.2 ๐Ÿ†
GPQAGraduate-level expert reasoning
47.2%vs53.5%+6.3% GLM 5.2
Fugu Ultra
GLM 5.2 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
86.4%vs89.8%+3.4% GLM 5.2
Fugu Ultra
GLM 5.2 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.9%vs9.3%+0.4% GLM 5.2
Fugu Ultra
GLM 5.2 ๐Ÿ†

Fugu Ultra Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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