Head-to-Head Model Comparison

Claude Mythos 5.1 vs GPT-6 Astra

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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

Claude Mythos 5.1Profile

GPT-6 AstraProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Anthropic

Claude Mythos 5.1

Amiral Gemisi Öncü Model

Anthropic tarafından geliştirilen Claude Mythos 5.1; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 1M bağlam penceresi, 60 token/sn hız, 88/100 zeka indeksi ve 1M token başına $15/$75

Intelligence Index88 / 100

Input Token:

$15.00 / 1M

Output Token:

$75.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.2%

OpenAI

GPT-6 Astra

Yerel Ses ve Konuşma Modeli

OpenAI tarafından geliştirilen GPT-6 Astra; doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme için tasarlanmış olup 272K bağlam penceresi, 100 token/sn hız, 96/100 zeka indeksi ve 1M token başına $10/$50 fiyatlandırma

Intelligence Index96 / 100

Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

Bir Bakışta Temel Farklar

GPT-6 Astra is 1.5x cheaper for API usage (input + output tokens combined).
Claude Mythos 5.1 has a larger context window (1M vs 272K tokens).
GPT-6 Astra is faster at 100 tok/s vs 60 tok/s.
Claude Mythos 5.1 leads on SWE-bench coding (84.2% vs 82.4%).

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

Feature	Claude Mythos 5.1	GPT-6 Astra
Intelligence Index Composite reasoning & knowledge score (0-100)	88	96
Provider	Anthropic	OpenAI
Input Price Cost per million input tokens	$15.00 / 1M	$10.00 / 1M
Output Price Cost per million output tokens	$75.00 / 1M	$50.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$11.55 / 1M	$7.70 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	272K tokens~408 A4 pages of text
Max Output Tokens Per single request	128K	128K
Throughput Speed Tokens generated per second	60 tok/s	100 tok/s
SWE-bench Verified Real-world software engineering	84.2%	82.4%
GPQA Diamond Graduate-level reasoning	82%	80.9%
Cached Input Price Prompt caching discount per 1M tokens	$1.50 / 1M	$1.00 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Claude Mythos 5.1

+1.8% SWE-bench lead

Cost

GPT-6 Astra

1.5x cheaper monthly runtime

Speed

GPT-6 Astra

+67% faster generation

Context

Claude Mythos 5.1

1M tokens window

Doğrulanmış Benchmark Puanları

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

Claude Mythos 5.1GPT-6 Astra

SWE-bench Verified (Autonomous Coding)

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

84.2%vs82.4%

GPQA Diamond (Doctorate-Level Science & Math)

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

82%vs80.9%

MMLU-Pro (Multi-task Language Understanding)

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

91.2%vs89.9%

LMSYS Chatbot Arena Elo

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

1520ptsvs1520pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs18.2%

Terminal-Bench (Agentic Coding & Terminal Use)

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

63.5%vs63.8%

SciCode (Scientific Computing)

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

N/Avs54.9%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs79.8%

AIME (Advanced Math Competition)

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

N/Avs93.6%

Long-Context Reasoning

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

N/Avs91.2%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

60 tok/s vs100 tok/s

Gecikme Süresi ve Yanıt Hızı

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

GPT-6 Astra0.95s

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

Claude Mythos 5.19.93s

GPT-6 Astra5.95s

Gerçek Zamanlı Token Maliyet Simülatörü

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

GPT-6 Astra Monthly API Bill

$61.50 / month

$10/1M in · $50/1M out

GPT-6 Astra saves approximately $30.75 / month (33%) under this workload.1.5x Savings

Claude Mythos 5.1 · Strengths & Key Advantages

1M bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 84.2% · GPQA Diamond 82%)
Sadece 1600 ms ilk token gecikmesi (TTFT) ile saniyede 60 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $15/$75 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir

GPT-6 Astra · Strengths & Key Advantages

272K bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
Sadece 950 ms ilk token gecikmesi (TTFT) ile saniyede 100 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $10/$50 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir

Token Use & Task Economics

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

Metric	Claude Mythos 5.1	GPT-6 Astra
Cost per Task Estimated USD to finish one task	$16.46	$2.15
Output Tokens / Task Tokens generated per task	72K	58K
Reasoning Tokens / Task Thinking tokens burned per task	37K	32K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Claude Mythos 5.1	GPT-6 Astra
Official API Model ID (SDK)	claude-mythos-5-1-20260901	gpt-6-astra
API Protocol	Anthropic Messages API + AWS Bedrock + Vertex AI	OpenAI Responses API & Chat Completions v1
Release Date	2026-09	2026-09
Knowledge Cutoff	June 2026	June 2026
Architecture	Restricted Frontier Autonomous Cognitive System	Omni-Adaptive Autoregressive with Dynamic CoT
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Flat rate ($10/1M in) across full 272K window
Prompt Cache Policy & TTL	$1.5/1M cached read (90% off); 5-min default & 1-hour extended TTL	Automatic prefix caching at $1/1M (no extra cache-write fee)
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 tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Custom Model Tuning via Amazon Bedrock & Prompt Distillation	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
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) · Audio (~25–32 tokens/sec)
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	OpenAI Preparedness Framework Audited & System Card Published
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, audio
Output Modalities	text	text, audio

Claude Mythos 5.1 vs GPT-6 Astra: Hızlı Yanıtlar (SSS)

Which is more intelligent, Claude Mythos 5.1 or GPT-6 Astra?

GPT-6 Astra is more intelligent. It scores 96 compared with 88 on the composite Intelligence Index.

Which model is faster?

GPT-6 Astra is faster, generating 100 tokens per second compared with 60 tokens per second.

Which model is cheaper to run?

GPT-6 Astra is cheaper at $7.70 per 1M tokens blended, compared with $11.55 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-6 Astra has lower latency, with a time to first token of 0.95s compared with 1.60s.

Which model has a larger context window?

Claude Mythos 5.1 has a larger context window, supporting 1M tokens compared with 272K tokens.

Sonuç

Hem Claude Mythos 5.1 (öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de GPT-6 Astra (doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: GPT-6 Astra karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-6 Astra daha yüksek üretim hızı sağlar; GPT-6 Astra ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Claude Mythos 5.1 mi yoksa GPT-6 Astra mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde GPT-6 Astra önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Claude Mythos 5.1 ve GPT-6 Astra API fiyatları nasıl karşılaştırılır?+

Claude Mythos 5.1 1M giriş/çıkış tokeni başına $15.00 / $75.00 ücretlendirilirken, GPT-6 Astra $10.00 / $50.00 seviyesindedir. Karma maliyette GPT-6 Astra daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

Claude Mythos 5.1 1M token bağlam penceresi sunarken GPT-6 Astra 272K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-6 Astra öndedir.

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)

Claude Mythos 5.1 vs GPT-6 Astra

İstediğiniz Modelleri Seçin ve Karşılaştırın

Claude Mythos 5.1

GPT-6 Astra

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Claude Mythos 5.1 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-6 Astra · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Claude Mythos 5.1 vs GPT-6 Astra: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

Related reading