GetInfoUs
Head-to-Head Model Comparison

GPT-6 Astra vs Claude Sonnet 4.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs अनुसंधान दल द्वारा समीक्षितअंतिम समीक्षा: October 2026संपादकीय नीति
साझा करें
Related topics (4)
OpenAIAnthropicflagshipflagship

Compare GPT-6 Astra by OpenAI against Claude Sonnet 4.5 by Anthropic across real-world coding, reasoning, token economics, and latency.

आमने-सामने मॉडल तुलना (VS)

किसी भी मॉडल को बदलें और तुलना करें

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

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench

Live comparison: no in-depth editorial review has been published for this pair yet.

Popular Matchups:
OpenAI

GPT-6 Astra

डीप रीजनिंग मॉडल

OpenAI द्वारा विकसित GPT-6 Astra एक उन्नत AI मॉडल है, जिसमें 1M टोकन का कॉन्टेक्स्ट विंडो और $10.0/1M इनपुट तथा $50.0/1M आउटपुट मूल्य निर्धारण है। यह कोडिंग, विश्लेषण और एंटरप्राइज वर्कफ़्लो के लिए उपयुक्त है।

Intelligence Index96 / 100
Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

Anthropic

Claude Sonnet 4.5

डीप रीजनिंग मॉडल

Anthropic द्वारा विकसित Claude Sonnet 4.5 एक उन्नत AI मॉडल है, जिसमें 1M टोकन का कॉन्टेक्स्ट विंडो और $3/1M इनपुट तथा $15/1M आउटपुट मूल्य निर्धारण है। यह कोडिंग, विश्लेषण और एंटरप्राइज वर्कफ़्लो के लिए उपयुक्त है।

Intelligence Index91 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

77.8%

एक नज़र में मुख्य अंतर

  • Claude Sonnet 4.5 is 3.3x cheaper for API usage (input + output tokens combined).
  • Claude Sonnet 4.5 has a larger context window (1M vs 272K tokens).
  • GPT-6 Astra is faster at 100 tok/s vs 90 tok/s.
  • GPT-6 Astra leads on SWE-bench coding (82.4% vs 77.8%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT-6 AstraClaude Sonnet 4.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
9691
Provider
OpenAIAnthropic
Input Price
Cost per million input tokens
$10.00 / 1M$3.00 / 1M
Output Price
Cost per million output tokens
$50.00 / 1M$15.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$7.70 / 1M$2.31 / 1M
Context Window
Maximum input + output tokens
272K tokens~408 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
128K64K
Throughput Speed
Tokens generated per second
100 tok/s90 tok/s
SWE-bench Verified
Real-world software engineering
82.4%77.8%
GPQA Diamond
Graduate-level reasoning
80.9%70.2%
Cached Input Price
Prompt caching discount per 1M tokens
$1.00 / 1M$0.30 / 1M

किस क्षेत्र में कौन आगे है?

At-a-glance decision framework
Coding
GPT-6 Astra
+4.6% SWE-bench lead
Cost
Claude Sonnet 4.5
3.3x cheaper monthly runtime
Speed
GPT-6 Astra
+11% faster generation
Context
Claude Sonnet 4.5
1M tokens window

सत्यापित बेंचमार्क स्कोर तुलना

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

GPT-6 AstraClaude Sonnet 4.5
SWE-bench Verified (Autonomous Coding)

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

82.4%vs77.8%
GPQA Diamond (Doctorate-Level Science & Math)

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

80.9%vs70.2%
MMLU-Pro (Multi-task Language Understanding)

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

89.9%vs84.5%
LMSYS Chatbot Arena Elo

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

1520ptsvs1355pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

18.2%vs10.4%
Terminal-Bench (Agentic Coding & Terminal Use)

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

63.8%vs50.1%
SciCode (Scientific Computing)

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

54.9%vs43.9%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

79.8%vs72.6%
AIME (Advanced Math Competition)

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

93.6%vs84.7%
Long-Context Reasoning

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

91.2%vs74.8%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

100 tok/s vs90 tok/s

लेटेंसी और रिस्पॉन्स समय

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
GPT-6 Astra0.95s
Claude Sonnet 4.50.90s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-6 Astra5.95s
Claude Sonnet 4.56.46s

रियल-टाइम टोकन लागत सिम्युलेटर

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)
GPT-6 Astra Monthly API Bill
$61.50 / month
$10/1M in · $50/1M out
Claude Sonnet 4.5 Monthly API Bill
$18.45 / month
$3/1M in · $15/1M out
Claude Sonnet 4.5 saves approximately $43.05 / month (70%) under this workload.3.3x Savings

GPT-6 Astra · Strengths & Key Advantages

  • OpenAI की उन्नत Omni-Adaptive Autoregressive with Dynamic CoT आर्किटेक्चर और 1M कॉन्टेक्स्ट विंडो क्षमता
  • किफायती और पारदर्शी API मूल्य ($10.0/1M इनपुट, $50.0/1M आउटपुट) तेज़ रिस्पॉन्स के साथ
  • जटिल कोडिंग, तार्किक विश्लेषण और बहुभाषी कार्यों में उच्च सटीकता
Considerations & Trade-offs
  • बड़े पैमाने पर लंबे कॉन्टेक्स्ट प्रॉम्प्ट्स के लिए टोकन बजट प्रबंधन आवश्यक है
  • विशिष्ट डोमेन कार्यों में सर्वोत्तम परिणाम के लिए सटीक प्रॉम्प्ट इंजीनियरिंग की आवश्यकता होती है

Claude Sonnet 4.5 · Strengths & Key Advantages

  • Anthropic की उन्नत Hybrid Reasoning आर्किटेक्चर और 1M कॉन्टेक्स्ट विंडो क्षमता
  • किफायती और पारदर्शी API मूल्य ($3/1M इनपुट, $15/1M आउटपुट) तेज़ रिस्पॉन्स के साथ
  • जटिल कोडिंग, तार्किक विश्लेषण और बहुभाषी कार्यों में उच्च सटीकता
Considerations & Trade-offs
  • बड़े पैमाने पर लंबे कॉन्टेक्स्ट प्रॉम्प्ट्स के लिए टोकन बजट प्रबंधन आवश्यक है
  • विशिष्ट डोमेन कार्यों में सर्वोत्तम परिणाम के लिए सटीक प्रॉम्प्ट इंजीनियरिंग की आवश्यकता होती है

Token Use & Task Economics

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

MetricGPT-6 AstraClaude Sonnet 4.5
Cost per Task
Estimated USD to finish one task
$2.15$2.10
Output Tokens / Task
Tokens generated per task
58K55K
Reasoning Tokens / Task
Thinking tokens burned per task
32K30K

तकनीकी विशिष्टताएँ (Specs)

Architecture, release timeline, capabilities, and modalities.

FeatureGPT-6 AstraClaude Sonnet 4.5
Official API Model ID (SDK)gpt-6-astraclaude-sonnet-4-5-20251101
API ProtocolOpenAI Responses API & Chat Completions v1Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date2026-092025-11
Knowledge CutoffJune 2026March 2025
ArchitectureOmni-Adaptive Autoregressive with Dynamic CoTHybrid Reasoning
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($10/1M in) across full 272K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLAutomatic prefix caching at $1/1M (no extra cache-write fee)$0.3/1M cached read (90% off); 5-min default & 1-hour extended 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 tool + Hosted Code Interpreter & File Search RAGNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)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 ClassificationOpenAI Preparedness Framework Audited & System Card PublishedAnthropic 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 TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, vision, audiotext, vision
Output Modalitiestext, audiotext

GPT-6 Astra vs Claude Sonnet 4.5: त्वरित प्रश्नोत्तर (FAQ)

Which is more intelligent, GPT-6 Astra or Claude Sonnet 4.5?

GPT-6 Astra is more intelligent. It scores 96 compared with 91 on the composite Intelligence Index.

Which model is faster?

GPT-6 Astra is faster, generating 100 tokens per second compared with 90 tokens per second.

Which model is cheaper to run?

Claude Sonnet 4.5 is cheaper at $2.31 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude Sonnet 4.5 has lower latency, with a time to first token of 0.90s compared with 0.95s.

Which model has a larger context window?

Claude Sonnet 4.5 has a larger context window, supporting 1M tokens compared with 272K tokens.

निष्कर्ष

Choose GPT-6 Astra for एंटरप्राइज ऑटोमेशन, सॉफ्टवेयर डेवलपमेंट, ai एजेंट्स और openai आधारित प्रोडक्शन सिस्टम, or choose Claude Sonnet 4.5 for एंटरप्राइज ऑटोमेशन, सॉफ्टवेयर डेवलपमेंट, ai एजेंट्स और anthropic आधारित प्रोडक्शन सिस्टम.

अक्सर पूछे जाने वाले प्रश्न (FAQ)

Which is cheaper: GPT-6 Astra or Claude Sonnet 4.5?+

GPT-6 Astra costs $10/1M input and $50/1M output tokens, while Claude Sonnet 4.5 costs $3/1M input and $15/1M output tokens.

Which model has a larger context window: GPT-6 Astra or Claude Sonnet 4.5?+

GPT-6 Astra supports 272K tokens whereas Claude Sonnet 4.5 supports 1M tokens.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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.

स्रोत: OpenAI & Anthropic Official Documentation