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Fugu Ultra vs GLM 4.7 Flash

Detailed technical comparison between Fugu Ultra (Sakana AI) and GLM 4.7 Flash (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Fugu Ultra: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

Fugu Ultra

1,000,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / 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 →
Zhipu AIactive

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

View GLM 4.7 Flash Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationFugu UltraGLM 4.7 Flash
ProviderSakana AIZhipu AI
Context Window1,000,000 tokens🏆202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-06-242026-01-19

API Pricing Comparison

Input Price per Million Tokens

Fugu Ultra

$5.00

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

Fugu Ultra

$30.00

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 83.3x 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.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

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%vs77.2%+8.2% Fugu Ultra
Fugu Ultra 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
84.6%vs78.5%+6.1% Fugu Ultra
Fugu Ultra 🏆
GLM 4.7 Flash
MATHComplex mathematical problem solving
65.8%vs40.0%+25.8% Fugu Ultra
Fugu Ultra 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
47.2%vs31.0%+16.2% Fugu Ultra
Fugu Ultra 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
86.4%vs80.0%+6.4% Fugu Ultra
Fugu Ultra 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.9%vs8.1%+0.8% Fugu Ultra
Fugu Ultra 🏆
GLM 4.7 Flash

Fugu Ultra Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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