Head-to-Head Model Comparison

Gemini 4 Argon vs Claude Fable 5.1

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Gemini 4 ArgonProfile

Claude Fable 5.1Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini 4 Argon

AI Multimodal Asli

Gemini 4 Argon dari Google adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 1M, kecepatan 115 token/detik, indeks kecerdasan 97/100, serta tarif $2/

Intelligence Index97 / 100

Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

81.9%

Anthropic

Claude Fable 5.1

Model Unggulan Garis Depan

Claude Fable 5.1 dari Anthropic adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 65 token/detik, indeks kecerdasan 82/100, serta t

Intelligence Index82 / 100

Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

83.8%

Perbedaan Utama Sekilas

Gemini 4 Argon is 5.0x cheaper for API usage (input + output tokens combined).
Gemini 4 Argon is faster at 115 tok/s vs 65 tok/s.
Claude Fable 5.1 leads on SWE-bench coding (83.8% vs 81.9%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Gemini 4 Argon	Claude Fable 5.1
Intelligence Index Composite reasoning & knowledge score (0-100)	97	82
Provider	Google	Anthropic
Input Price Cost per million input tokens	$2.00 / 1M	$10.00 / 1M
Output Price Cost per million output tokens	$10.00 / 1M	$50.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.47 / 1M	$7.17 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	1000K	128K
Throughput Speed Tokens generated per second	115 tok/s	65 tok/s
SWE-bench Verified Real-world software engineering	81.9%	83.8%
GPQA Diamond Graduate-level reasoning	81.5%	81.6%
Cached Input Price Prompt caching discount per 1M tokens	$0.10 / 1M	$0.25 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Claude Fable 5.1

+1.9% SWE-bench lead

Cost

Gemini 4 Argon

5.0x cheaper monthly runtime

Speed

Gemini 4 Argon

+77% faster generation

Context

Tied

1M tokens window

Skor Benchmark Terverifikasi

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

Gemini 4 ArgonClaude Fable 5.1

SWE-bench Verified (Autonomous Coding)

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

81.9%vs83.8%

GPQA Diamond (Doctorate-Level Science & Math)

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

81.5%vs81.6%

MMLU-Pro (Multi-task Language Understanding)

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

90.8%vs91%

LMSYS Chatbot Arena Elo

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

1525ptsvs1510pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

18.9%vsN/A

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

57.4%vs62%

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

56.4%vsN/A

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

80.5%vsN/A

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

94.8%vsN/A

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

96.4%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

115 tok/s vs65 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

Gemini 4 Argon0.85s

Claude Fable 5.11.45s

Est. End-to-End Response (500 tokens)TTFT + generation time

Gemini 4 Argon5.20s

Claude Fable 5.19.14s

Simulator Biaya Token Interaktif

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

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Gemini 4 Argon Monthly API Bill

$12.15 / month

$2/1M in · $10/1M out

Claude Fable 5.1 Monthly API Bill

$60.38 / month

$10/1M in · $50/1M out

Gemini 4 Argon saves approximately $48.23 / month (80%) under this workload.5.0x Savings

Gemini 4 Argon · Strengths & Key Advantages

Jendela konteks 1M dengan kapasitas output maksimum hingga 1M token (SWE-bench Verified 81.9% · GPQA Diamond 81.5%)
Kecepatan generasi tinggi 115 token/detik dengan latensi token pertama (TTFT) hanya 850 ms
Skema harga API kompetitif (tarif $2/$10 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
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Claude Fable 5.1 · Strengths & Key Advantages

Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 83.8% · GPQA Diamond 81.6%)
Kecepatan generasi tinggi 65 token/detik dengan latensi token pertama (TTFT) hanya 1450 ms
Skema harga API kompetitif (tarif $10/$50 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
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Token Use & Task Economics

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

Metric	Gemini 4 Argon	Claude Fable 5.1
Cost per Task Estimated USD to finish one task	$2.45	$10.97
Output Tokens / Task Tokens generated per task	75K	72K
Reasoning Tokens / Task Thinking tokens burned per task	36K	37K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Gemini 4 Argon	Claude Fable 5.1
Official API Model ID (SDK)	models/gemini-4-argon	claude-fable-5-1-20260901
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-09	2026-09
Knowledge Cutoff	June 2026	June 2026
Architecture	Pathways Multimodal Sparse Mixture-of-Experts	Frontier Auditable Multimodal Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Implicit + Explicit Context Caching at $0.1/1M with configurable TTL	$0.25/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Built-in Google Search Grounding + Managed Python Code Execution Sandbox	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	Vertex AI Supervised Adapter Tuning & Context Distillation	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAM	Cloud-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 Classification	Google DeepMind Frontier Safety Framework Verified	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision, audio, video	text, vision
Output Modalities	text	text

Gemini 4 Argon vs Claude Fable 5.1: Jawaban Cepat (FAQ)

Which is more intelligent, Gemini 4 Argon or Claude Fable 5.1?

Gemini 4 Argon is more intelligent. It scores 97 compared with 82 on the composite Intelligence Index.

Which model is faster?

Gemini 4 Argon is faster, generating 115 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Gemini 4 Argon is cheaper at $1.47 per 1M tokens blended, compared with $7.17 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 4 Argon has lower latency, with a time to first token of 0.85s compared with 1.45s.

Kesimpulan

Baik Gemini 4 Argon (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Fable 5.1 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini 4 Argon unggul dalam penalaran dan pemrograman, Gemini 4 Argon memberikan kecepatan generasi token lebih tinggi, dan Gemini 4 Argon lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Gemini 4 Argon atau Claude Fable 5.1?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini 4 Argon memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Gemini 4 Argon vs Claude Fable 5.1?+

Gemini 4 Argon mengenakan biaya $2.00 / $10.00 per 1M token input/output, sedangkan Claude Fable 5.1 sebesar $10.00 / $50.00. Secara keseluruhan, Gemini 4 Argon lebih hemat biaya.

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

Gemini 4 Argon mendukung konteks 1M token dibandingkan 1M token pada Claude Fable 5.1, sementara Gemini 4 Argon 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.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Gemini 4 Argon vs Claude Fable 5.1

Ganti & Bandingkan Model Apa Saja

Gemini 4 Argon

Claude Fable 5.1

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Gemini 4 Argon · Strengths & Key Advantages

Considerations & Trade-offs

Claude Fable 5.1 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Gemini 4 Argon vs Claude Fable 5.1: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

Related reading