Head-to-Head Model Comparison

Claude Fable 5.1 vs Gemini 3 Pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Claude Fable 5.1 vs Gemini 3 Pro: Benchmarks, Pricing & Speed Comparison

Claude Fable 5.1 dari Anthropic dan Gemini 3 Pro dari Google adalah dua model AI unggulan. Claude Fable 5.1 menawarkan jendela konteks 1M token dengan harga $10.00/$50.00 per 1 juta token, sedangkan Gemini 3 Pro menyediakan konteks 2M token seharga $2.00/$12.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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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%

Google

Gemini 3 Pro

Model Unggulan Garis Depan

Gemini 3 Pro dari Google adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 2M, kecepatan 118 token/detik, indeks kecerdasan 62/100, serta tarif $

Intelligence Index62 / 100
Input Token:

$2.00 / 1M

Output Token:

$12.00 / 1M

Context Window:

2M tokens

SWE-bench Verified:

76.2%

Perbedaan Utama Sekilas

  • Gemini 3 Pro is 4.3x cheaper for API usage (input + output tokens combined).
  • Gemini 3 Pro has a larger context window (2M vs 1M tokens).
  • Gemini 3 Pro is faster at 118 tok/s vs 65 tok/s.
  • Claude Fable 5.1 leads on SWE-bench coding (83.8% vs 76.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude Fable 5.1Gemini 3 Pro
Intelligence Index
Composite reasoning & knowledge score (0-100)
8262
Provider
AnthropicGoogle
Input Price
Cost per million input tokens
$10.00 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$50.00 / 1M$12.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$7.17 / 1M$1.74 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text2M tokens~3,000 A4 pages of text
Max Output Tokens
Per single request
128K66K
Throughput Speed
Tokens generated per second
65 tok/s118 tok/s
SWE-bench Verified
Real-world software engineering
83.8%76.2%
GPQA Diamond
Graduate-level reasoning
81.6%73.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.25 / 1M$0.20 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding
Claude Fable 5.1
+7.6% SWE-bench lead
Cost
Gemini 3 Pro
4.3x cheaper monthly runtime
Speed
Gemini 3 Pro
+82% faster generation
Context
Gemini 3 Pro
2M tokens window

Skor Benchmark Terverifikasi

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

Claude Fable 5.1Gemini 3 Pro
SWE-bench Verified (Autonomous Coding)

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

83.8%vs76.2%
GPQA Diamond (Doctorate-Level Science & Math)

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

81.6%vs73.5%
MMLU-Pro (Multi-task Language Understanding)

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

91%vs86.8%
LMSYS Chatbot Arena Elo

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

1510ptsvs1384pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs12.9%
Terminal-Bench (Agentic Coding & Terminal Use)

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

62%vs47.9%
SciCode (Scientific Computing)

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

N/Avs44.8%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs73%
AIME (Advanced Math Competition)

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

N/Avs92.8%
Long-Context Reasoning

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

N/Avs84.6%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

65 tok/s vs118 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
Claude Fable 5.11.45s
Gemini 3 Pro1.80s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude Fable 5.19.14s
Gemini 3 Pro6.04s

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)
Claude Fable 5.1 Monthly API Bill
$60.38 / month
$10/1M in · $50/1M out
Gemini 3 Pro Monthly API Bill
$14.10 / month
$2/1M in · $12/1M out
Gemini 3 Pro saves approximately $46.27 / month (77%) under this workload.4.3x Savings

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

Gemini 3 Pro · Strengths & Key Advantages

  • Jendela konteks 2M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 76.2% · GPQA Diamond 73.5%)
  • Kecepatan generasi tinggi 118 token/detik dengan latensi token pertama (TTFT) hanya 1800 ms
  • Skema harga API kompetitif (tarif $2/$12 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.

MetricClaude Fable 5.1Gemini 3 Pro
Cost per Task
Estimated USD to finish one task
$10.97$2.40
Output Tokens / Task
Tokens generated per task
72K60K
Reasoning Tokens / Task
Thinking tokens burned per task
37K31K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureClaude Fable 5.1Gemini 3 Pro
Official API Model ID (SDK)claude-fable-5-1-20260901models/gemini-3-pro
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIGoogle Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2026-092025-11
Knowledge CutoffJune 2026January 2025
ArchitectureFrontier Auditable Multimodal TransformerSparse Multimodal MoE
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Standard rate up to 200K tokens; 2x input/output tier above 200K tokensStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL$0.25/1M cached read (90% off); 5-min default & 1-hour extended TTLImplicit + Explicit Context Caching at $0.2/1M with configurable TTL
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)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 & SandboxNative Web Search Citations + Code Execution Tool + MCP ConnectorsBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportCustom Model Tuning via Amazon Bedrock & Prompt DistillationVertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
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 ClassificationAnthropic RSP ASL-2 / ASL-3 Constitutional Safety EvaluatedGoogle DeepMind Frontier Safety Framework 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 Modalitiestext, visiontext, vision, audio, video
Output Modalitiestexttext

Claude Fable 5.1 vs Gemini 3 Pro: Jawaban Cepat (FAQ)

Which is more intelligent, Claude Fable 5.1 or Gemini 3 Pro?

Claude Fable 5.1 is more intelligent. It scores 82 compared with 62 on the composite Intelligence Index.

Which model is faster?

Gemini 3 Pro is faster, generating 118 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Gemini 3 Pro is cheaper at $1.74 per 1M tokens blended, compared with $7.17 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Fable 5.1 has lower latency, with a time to first token of 1.45s compared with 1.80s.

Which model has a larger context window?

Gemini 3 Pro has a larger context window, supporting 2M tokens compared with 1M tokens.

Kesimpulan

Baik 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.) maupun Gemini 3 Pro (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude Fable 5.1 unggul dalam penalaran dan pemrograman, Gemini 3 Pro memberikan kecepatan generasi token lebih tinggi, dan Gemini 3 Pro lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Claude Fable 5.1 atau Gemini 3 Pro?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Claude Fable 5.1 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Claude Fable 5.1 vs Gemini 3 Pro?+

Claude Fable 5.1 mengenakan biaya $10.00 / $50.00 per 1M token input/output, sedangkan Gemini 3 Pro sebesar $2.00 / $12.00. Secara keseluruhan, Gemini 3 Pro lebih hemat biaya.

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

Claude Fable 5.1 mendukung konteks 1M token dibandingkan 2M token pada Gemini 3 Pro, sementara Gemini 3 Pro 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 Anthropic & Google serta evaluasi benchmark independen (2026).