Head-to-Head Model Comparison

Fugu Ultra vs Qwen3.7 Plus

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Fugu Ultra vs Qwen3.7 Plus: Benchmarks, Pricing & Speed Comparison

Fugu Ultra dari Sakana AI dan Qwen3.7 Plus dari Alibaba adalah dua model AI unggulan. Fugu Ultra menawarkan jendela konteks 1M token dengan harga $1.50/$6.00 per 1 juta token, sedangkan Qwen3.7 Plus menyediakan konteks 1M token seharga $0.80/$3.20 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Sakana AI

Fugu Ultra

Mesin Penalaran Mendalam

Fugu Ultra dari Sakana AI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 1M, kecepatan 75 token/detik, indeks kecerdasan 86/100, serta tarif $1.5/$

Intelligence Index86 / 100
Input Token:

$1.50 / 1M

Output Token:

$6.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Alibaba

Qwen3.7 Plus

Model Unggulan Garis Depan

Qwen3.7 Plus dari Alibaba adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 92 token/detik, indeks kecerdasan 89/100, serta tarif $

Intelligence Index89 / 100
Input Token:

$0.80 / 1M

Output Token:

$3.20 / 1M

Context Window:

1M tokens

SWE-bench Verified:

68%

Perbedaan Utama Sekilas

  • Qwen3.7 Plus is 1.9x cheaper for API usage (input + output tokens combined).
  • Qwen3.7 Plus is faster at 92 tok/s vs 75 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureFugu UltraQwen3.7 Plus
Intelligence Index
Composite reasoning & knowledge score (0-100)
8689
Provider
Sakana AIAlibaba
Input Price
Cost per million input tokens
$1.50 / 1M$0.80 / 1M
Output Price
Cost per million output tokens
$6.00 / 1M$3.20 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$1.01 / 1M$0.54 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
75 tok/s92 tok/s
SWE-bench Verified
Real-world software engineering
N/A68%
GPQA Diamond
Graduate-level reasoning
67%75%
Cached Input Price
Prompt caching discount per 1M tokens
$0.15 / 1M$0.08 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Qwen3.7 Plus
1.9x cheaper monthly runtime
Speed
Qwen3.7 Plus
+23% faster generation
Context
Tied
1M tokens window

Skor Benchmark Terverifikasi

Official evaluation metrics verified by independent third-party research labs.

Fugu UltraQwen3.7 Plus
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

N/Avs68%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

67%vs75%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

83%vs86.8%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1370ptsvs1435pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs92 tok/s

Latensi & Waktu Respons

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
Fugu Ultra0.54s
Qwen3.7 Plus0.44s
Est. End-to-End Response (500 tokens)TTFT + generation time
Fugu Ultra7.21s
Qwen3.7 Plus5.87s

Simulator Biaya Token Interaktif

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Fugu Ultra Monthly API Bill
$7.88 / month
$1.5/1M in · $6/1M out
Qwen3.7 Plus Monthly API Bill
$4.20 / month
$0.8/1M in · $3.2/1M out
Qwen3.7 Plus saves approximately $3.67 / month (47%) under this workload.1.9x Savings

Fugu Ultra · Strengths & Key Advantages

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 67% · MMLU-Pro 83%)
  • Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 540 ms
  • Skema harga API kompetitif (tarif $1.5/$6 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Qwen3.7 Plus · Strengths & Key Advantages

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 68% · GPQA Diamond 75%)
  • Kecepatan generasi tinggi 92 token/detik dengan latensi token pertama (TTFT) hanya 440 ms
  • Skema harga API kompetitif (tarif $0.8/$3.2 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricFugu UltraQwen3.7 Plus
Cost per Task
Estimated USD to finish one task
$0.28$0.24
Output Tokens / Task
Tokens generated per task
22K26K
Reasoning Tokens / Task
Thinking tokens burned per task
8K9K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureFugu UltraQwen3.7 Plus
Official API Model ID (SDK)fugu-ultraqwen3-7-plus-instruct
API ProtocolSakana AI REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2026-062026-06
Knowledge CutoffMarch 2026April 2026
ArchitectureEvolutionary Multi-Model Merged TransformerHigh-Value Multimodal Foundation Transformer
ParametersConfidential / Frontier MergedConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($1.5/1M in) across full 1000K windowFlat rate ($0.8/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.15/1M tokensCached input at $0.08/1M tokens
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationSakana AI Production Safety & Alignment VerifiedAlibaba Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext, vision
Output Modalitiestexttext

Fugu Ultra vs Qwen3.7 Plus: Jawaban Cepat (FAQ)

Which is more intelligent, Fugu Ultra or Qwen3.7 Plus?

Qwen3.7 Plus is more intelligent. It scores 89 compared with 86 on the composite Intelligence Index.

Which model is faster?

Qwen3.7 Plus is faster, generating 92 tokens per second compared with 75 tokens per second.

Which model is cheaper to run?

Qwen3.7 Plus is cheaper at $0.54 per 1M tokens blended, compared with $1.01 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3.7 Plus has lower latency, with a time to first token of 0.44s compared with 0.54s.

Kesimpulan

Baik Fugu Ultra (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Qwen3.7 Plus (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Qwen3.7 Plus unggul dalam penalaran dan pemrograman, Qwen3.7 Plus memberikan kecepatan generasi token lebih tinggi, dan Qwen3.7 Plus lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Fugu Ultra atau Qwen3.7 Plus?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Qwen3.7 Plus memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Fugu Ultra vs Qwen3.7 Plus?+

Fugu Ultra mengenakan biaya $1.50 / $6.00 per 1M token input/output, sedangkan Qwen3.7 Plus sebesar $0.80 / $3.20. Secara keseluruhan, Qwen3.7 Plus lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Fugu Ultra mendukung konteks 1M token dibandingkan 1M token pada Qwen3.7 Plus, sementara Qwen3.7 Plus unggul dalam kecepatan output token per detik.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Sumber resmi: Dokumentasi API resmi Sakana AI & Alibaba serta evaluasi benchmark independen (2026).