Head-to-Head Model Comparison

Claude 3.5 Sonnet vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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Compare Claude 3.5 Sonnet by Anthropic against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.

مقارنة مباشرة (VS)

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Anthropic

Claude 3.5 Sonnet

نموذج رائد متقدم

نموذج Claude 3.5 Sonnet المقدم من Anthropic يوفر نافذة سياق تصل إلى 200K رمز، بتكلفة $3 لكل مليون رمز إدخال و$15 لكل مليون رمز إخراج، ومصمم للبرمجة والاستدلال وتطبيقات الأعمال.

Intelligence Index50 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

65%

Anthropic

Claude Opus 5.5

نموذج استدلال عميق

نموذج Claude Opus 5.5 المقدم من Anthropic يوفر نافذة سياق تصل إلى 1M رمز، بتكلفة $4.0 لكل مليون رمز إدخال و$20.0 لكل مليون رمز إخراج، ومصمم للبرمجة والاستدلال وتطبيقات الأعمال.

Intelligence Index94 / 100
Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

أهم الفروقات في لمحة

  • Claude 3.5 Sonnet is 1.3x cheaper for API usage (input + output tokens combined).
  • Claude Opus 5.5 has a larger context window (1M vs 200K tokens).
  • Claude 3.5 Sonnet is faster at 80 tok/s vs 78 tok/s.
  • Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 65.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureClaude 3.5 SonnetClaude Opus 5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
5094
Provider
AnthropicAnthropic
Input Price
Cost per million input tokens
$3.00 / 1M$4.00 / 1M
Output Price
Cost per million output tokens
$15.00 / 1M$20.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.31 / 1M$3.08 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
8K128K
Throughput Speed
Tokens generated per second
80 tok/s78 tok/s
SWE-bench Verified
Real-world software engineering
65%84.6%
GPQA Diamond
Graduate-level reasoning
59.4%82.3%
Cached Input Price
Prompt caching discount per 1M tokens
$0.30 / 1M$0.40 / 1M

من يتفوق في كل مجال؟

At-a-glance decision framework
Coding
Claude Opus 5.5
+19.6% SWE-bench lead
Cost
Claude 3.5 Sonnet
1.3x cheaper monthly runtime
Speed
Claude 3.5 Sonnet
+3% faster generation
Context
Claude Opus 5.5
1M tokens window

نتائج الاختبارات المعيارية الموثقة

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

Claude 3.5 SonnetClaude Opus 5.5
SWE-bench Verified (Autonomous Coding)

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

65%vs84.6%
GPQA Diamond (Doctorate-Level Science & Math)

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

59.4%vs82.3%
MMLU-Pro (Multi-task Language Understanding)

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

78%vs91.5%
LMSYS Chatbot Arena Elo

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

1320ptsvs1507pts
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.

38%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.

62%vs83.1%
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.

80 tok/s vs78 tok/s

زمن الاستجابة والسرعة

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 3.5 Sonnet0.48s
Claude Opus 5.51.40s
Est. End-to-End Response (500 tokens)TTFT + generation time
Claude 3.5 Sonnet6.73s
Claude Opus 5.57.81s

محاكي تكلفة الرموز التفاعلي

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 3.5 Sonnet Monthly API Bill
$18.45 / month
$3/1M in · $15/1M out
Claude Opus 5.5 Monthly API Bill
$24.60 / month
$4/1M in · $20/1M out
Claude 3.5 Sonnet saves approximately $6.15 / month (25%) under this workload.1.3x Savings

Claude 3.5 Sonnet · Strengths & Key Advantages

  • بنية Next-Gen Multimodal Hybrid Transformer متطورة من Anthropic مع سعة سياق تبلغ 200K رمز
  • كفاءة عالية في التكلفة ($3/1M إدخال و$15/1M إخراج) وسرعة استجابة ممتازة
  • أداء قوي في اختبارات البرمجة، الاستدلال المنطقي، ودعم اللغات المتعددة
Considerations & Trade-offs
  • يتطلب إدارة دقيقة لاستهلاك الرموز عند استخدام نافذة السياق الكاملة
  • قد يحتاج إلى ضبط دقيق للتعليمات (Prompt Engineering) في المهام التخصصية المعقدة

Claude Opus 5.5 · Strengths & Key Advantages

  • بنية Extended Autonomous Hybrid Reasoning Transformer متطورة من Anthropic مع سعة سياق تبلغ 1M رمز
  • كفاءة عالية في التكلفة ($4.0/1M إدخال و$20.0/1M إخراج) وسرعة استجابة ممتازة
  • أداء قوي في اختبارات البرمجة، الاستدلال المنطقي، ودعم اللغات المتعددة
Considerations & Trade-offs
  • يتطلب إدارة دقيقة لاستهلاك الرموز عند استخدام نافذة السياق الكاملة
  • قد يحتاج إلى ضبط دقيق للتعليمات (Prompt Engineering) في المهام التخصصية المعقدة

Token Use & Task Economics

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

MetricClaude 3.5 SonnetClaude Opus 5.5
Cost per Task
Estimated USD to finish one task
$0.20$3.85
Output Tokens / Task
Tokens generated per task
24K68K
Reasoning Tokens / Task
Thinking tokens burned per task
0K42K

المواصفات التقنية

Architecture, release timeline, capabilities, and modalities.

FeatureClaude 3.5 SonnetClaude Opus 5.5
Official API Model ID (SDK)claude-3-5-sonnet-20240601claude-opus-5-5-20260901
API ProtocolAnthropic Messages API + AWS Bedrock + Vertex AIAnthropic Messages API + AWS Bedrock + Vertex AI
Release Date2024-062026-09
Knowledge CutoffApril 2024June 2026
ArchitectureNext-Gen Multimodal Hybrid TransformerExtended Autonomous Hybrid Reasoning Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 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)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$0.3/1M 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 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 ConnectorsNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportCustom Model Tuning via Amazon Bedrock & Prompt DistillationCustom Model Tuning via Amazon Bedrock & Prompt 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)
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 EvaluatedAnthropic 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, visiontext, vision
Output Modalitiestexttext

Claude 3.5 Sonnet vs Claude Opus 5.5: إجابات سريعة (FAQ)

Which is more intelligent, Claude 3.5 Sonnet or Claude Opus 5.5?

Claude Opus 5.5 is more intelligent. It scores 94 compared with 50 on the composite Intelligence Index.

Which model is faster?

Claude 3.5 Sonnet is faster, generating 80 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Claude 3.5 Sonnet is cheaper at $2.31 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Claude 3.5 Sonnet has lower latency, with a time to first token of 0.48s compared with 1.40s.

Which model has a larger context window?

Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 200K tokens.

الحكم النهائي

Choose Claude 3.5 Sonnet for أتمتة الأعمال، تطوير البرمجيات، الوكلاء الأذكياء (ai agents)، وتطبيقات anthropic الإنتاجية, or choose Claude Opus 5.5 for أتمتة الأعمال، تطوير البرمجيات، الوكلاء الأذكياء (ai agents)، وتطبيقات anthropic الإنتاجية.

الأسئلة الشائعة (FAQ)

Which is cheaper: Claude 3.5 Sonnet or Claude Opus 5.5?+

Claude 3.5 Sonnet costs $3/1M input and $15/1M output tokens, while Claude Opus 5.5 costs $4/1M input and $20/1M output tokens.

Which model has a larger context window: Claude 3.5 Sonnet or Claude Opus 5.5?+

Claude 3.5 Sonnet supports 200K tokens whereas Claude Opus 5.5 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.

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.

المصادر الرسمية: Anthropic & Anthropic Official Documentation