Head-to-Head Model Comparison

Claude Mythos 5.1 vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

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Claude Mythos 5.1Profile

Claude Opus 5.5Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Anthropic

Claude Mythos 5.1

Model Unggulan Garis Depan

Claude Mythos 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 60 token/detik, indeks kecerdasan 88/100, serta

Intelligence Index88 / 100

Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.2%

Anthropic

Claude Opus 5.5

Model Unggulan Garis Depan

Claude Opus 5.5 dari Anthropic adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 78 token/detik, indeks kecerdasan 94/100, serta ta

Intelligence Index94 / 100

Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

Perbedaan Utama Sekilas

Claude Opus 5.5 is 3.8x cheaper for API usage (input + output tokens combined).
Claude Opus 5.5 is faster at 78 tok/s vs 60 tok/s.
Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 84.2%).

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

Feature	Claude Mythos 5.1	Claude Opus 5.5
Intelligence Index Composite reasoning & knowledge score (0-100)	88	94
Provider	Anthropic	Anthropic
Input Price Cost per million input tokens	$15.00 / 1M	$4.00 / 1M
Output Price Cost per million output tokens	$75.00 / 1M	$20.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$11.55 / 1M	$3.08 / 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	128K	128K
Throughput Speed Tokens generated per second	60 tok/s	78 tok/s
SWE-bench Verified Real-world software engineering	84.2%	84.6%
GPQA Diamond Graduate-level reasoning	82%	82.3%
Cached Input Price Prompt caching discount per 1M tokens	$1.50 / 1M	$0.40 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Claude Opus 5.5

+0.4% SWE-bench lead

Cost

Claude Opus 5.5

3.8x cheaper monthly runtime

Speed

Claude Opus 5.5

+30% faster generation

Context

Tied

1M tokens window

Skor Benchmark Terverifikasi

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

Claude Mythos 5.1Claude Opus 5.5

SWE-bench Verified (Autonomous Coding)

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

84.2%vs84.6%

GPQA Diamond (Doctorate-Level Science & Math)

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

82%vs82.3%

MMLU-Pro (Multi-task Language Understanding)

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

91.2%vs91.5%

LMSYS Chatbot Arena Elo

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

1520ptsvs1507pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs19.8%

Terminal-Bench (Agentic Coding & Terminal Use)

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

63.5%vs66.4%

SciCode (Scientific Computing)

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

N/Avs58.7%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs83.1%

AIME (Advanced Math Competition)

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

N/Avs95.4%

Long-Context Reasoning

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

N/Avs92.6%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

60 tok/s vs78 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 Mythos 5.11.60s

Claude Opus 5.51.40s

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

Claude Mythos 5.19.93s

Claude Opus 5.57.81s

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)

Claude Mythos 5.1 Monthly API Bill

$92.25 / month

$15/1M in · $75/1M out

Claude Opus 5.5 Monthly API Bill

$24.60 / month

$4/1M in · $20/1M out

Claude Opus 5.5 saves approximately $67.65 / month (73%) under this workload.3.8x Savings

Claude Mythos 5.1 · Strengths & Key Advantages

Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 84.2% · GPQA Diamond 82%)
Kecepatan generasi tinggi 60 token/detik dengan latensi token pertama (TTFT) hanya 1600 ms
Skema harga API kompetitif (tarif $15/$75 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 Opus 5.5 · Strengths & Key Advantages

Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 84.6% · GPQA Diamond 82.3%)
Kecepatan generasi tinggi 78 token/detik dengan latensi token pertama (TTFT) hanya 1400 ms
Skema harga API kompetitif (tarif $4/$20 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	Claude Mythos 5.1	Claude Opus 5.5
Cost per Task Estimated USD to finish one task	$16.46	$3.85
Output Tokens / Task Tokens generated per task	72K	68K
Reasoning Tokens / Task Thinking tokens burned per task	37K	42K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Claude Mythos 5.1 vs Claude Opus 5.5: Jawaban Cepat (FAQ)

Which is more intelligent, Claude Mythos 5.1 or Claude Opus 5.5?

Claude Opus 5.5 is more intelligent. It scores 94 compared with 88 on the composite Intelligence Index.

Which model is faster?

Claude Opus 5.5 is faster, generating 78 tokens per second compared with 60 tokens per second.

Which model is cheaper to run?

Claude Opus 5.5 is cheaper at $3.08 per 1M tokens blended, compared with $11.55 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Opus 5.5 has lower latency, with a time to first token of 1.40s compared with 1.60s.

Kesimpulan

Baik Claude Mythos 5.1 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Opus 5.5 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude Opus 5.5 unggul dalam penalaran dan pemrograman, Claude Opus 5.5 memberikan kecepatan generasi token lebih tinggi, dan Claude Opus 5.5 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Claude Mythos 5.1 atau Claude Opus 5.5?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Claude Opus 5.5 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Claude Mythos 5.1 vs Claude Opus 5.5?+

Claude Mythos 5.1 mengenakan biaya $15.00 / $75.00 per 1M token input/output, sedangkan Claude Opus 5.5 sebesar $4.00 / $20.00. Secara keseluruhan, Claude Opus 5.5 lebih hemat biaya.

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

Claude Mythos 5.1 mendukung konteks 1M token dibandingkan 1M token pada Claude Opus 5.5, sementara Claude Opus 5.5 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)

Feature	Claude Mythos 5.1	Claude Opus 5.5
Official API Model ID (SDK)	claude-mythos-5-1-20260901	claude-opus-5-5-20260901
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-09	2026-09
Knowledge Cutoff	June 2026	June 2026
Architecture	Restricted Frontier Autonomous Cognitive System	Extended Autonomous Hybrid Reasoning Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 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	$1.5/1M cached read (90% off); 5-min default & 1-hour extended TTL	$0.4/1M 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	Native Web Search Citations + Code Execution Tool + MCP Connectors	Native Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	Custom Model Tuning via Amazon Bedrock & Prompt Distillation	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	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	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated	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	text, vision
Output Modalities	text	text

Claude Mythos 5.1 vs Claude Opus 5.5

Ganti & Bandingkan Model Apa Saja

Claude Mythos 5.1

Claude Opus 5.5

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Claude Mythos 5.1 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 5.5 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Claude Mythos 5.1 vs Claude Opus 5.5: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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