GPT-4 Turbo vs Claude Opus 5.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare GPT-4 Turbo by OpenAI against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.
بدّل وقارن بين أي نموذجين
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
Live comparison: no in-depth editorial review has been published for this pair yet.
GPT-4 Turbo
نموذج رائد متقدمنموذج GPT-4 Turbo المقدم من OpenAI يوفر نافذة سياق تصل إلى 128K رمز، بتكلفة $10 لكل مليون رمز إدخال و$30 لكل مليون رمز إخراج، ومصمم للبرمجة والاستدلال وتطبيقات الأعمال.
$10.00 / 1M
$30.00 / 1M
128K tokens
27.5%
Claude Opus 5.5
نموذج استدلال عميقنموذج 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.
$4.00 / 1M
$20.00 / 1M
1M tokens
84.6%
أهم الفروقات في لمحة
- Claude Opus 5.5 is 2.0x cheaper for API usage (input + output tokens combined).
- Claude Opus 5.5 has a larger context window (1M vs 128K tokens).
- Claude Opus 5.5 is faster at 78 tok/s vs 55 tok/s.
- Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 27.5%).
| Feature | GPT-4 Turbo | Claude Opus 5.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 40 | 94 |
Provider | OpenAI | Anthropic |
Input Price Cost per million input tokens | $10.00 / 1M | $4.00 / 1M |
Output Price Cost per million output tokens | $30.00 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $8.50 / 1M | $3.08 / 1M |
Context Window Maximum input + output tokens | 128K tokens~192 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 4K | 128K |
Throughput Speed Tokens generated per second | 55 tok/s | 78 tok/s |
SWE-bench Verified Real-world software engineering | 27.5% | 84.6% |
GPQA Diamond Graduate-level reasoning | 48% | 82.3% |
Cached Input Price Prompt caching discount per 1M tokens | $5.00 / 1M | $0.40 / 1M |
من يتفوق في كل مجال؟
At-a-glance decision frameworkنتائج الاختبارات المعيارية الموثقة
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
زمن الاستجابة والسرعة
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
محاكي تكلفة الرموز التفاعلي
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
GPT-4 Turbo · Strengths & Key Advantages
- بنية Optimized Sparse MoE متطورة من OpenAI مع سعة سياق تبلغ 128K رمز
- كفاءة عالية في التكلفة ($10/1M إدخال و$30/1M 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.
| Metric | GPT-4 Turbo | Claude Opus 5.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.20 | $3.85 |
Output Tokens / Task Tokens generated per task | 24K | 68K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 42K |
المواصفات التقنية
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT-4 Turbo | Claude Opus 5.5 |
|---|---|---|
| Official API Model ID (SDK) | gpt-4-turbo | claude-opus-5-5-20260901 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2023-11 | 2026-09 |
| Knowledge Cutoff | December 2023 | June 2026 |
| Architecture | Optimized Sparse MoE | Extended Autonomous Hybrid Reasoning Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 4,000 – 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 128K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Automatic prefix caching at $5/1M (no extra cache-write fee) | $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 tool + Hosted Code Interpreter & File Search RAG | Native Web Search Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | 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 | OpenAI Preparedness Framework Audited & System Card Published | 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 |
GPT-4 Turbo vs Claude Opus 5.5: إجابات سريعة (FAQ)
Which is more intelligent, GPT-4 Turbo or Claude Opus 5.5?
Claude Opus 5.5 is more intelligent. It scores 94 compared with 40 on the composite Intelligence Index.
Which model is faster?
Claude Opus 5.5 is faster, generating 78 tokens per second compared with 55 tokens per second.
Which model is cheaper to run?
Claude Opus 5.5 is cheaper at $3.08 per 1M tokens blended, compared with $8.50 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-4 Turbo has lower latency, with a time to first token of 0.65s 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 128K tokens.
الحكم النهائي
Choose GPT-4 Turbo for أتمتة الأعمال، تطوير البرمجيات، الوكلاء الأذكياء (ai agents)، وتطبيقات openai 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: GPT-4 Turbo or Claude Opus 5.5?+
GPT-4 Turbo costs $10/1M input and $30/1M output tokens, while Claude Opus 5.5 costs $4/1M input and $20/1M output tokens.
Which model has a larger context window: GPT-4 Turbo or Claude Opus 5.5?+
GPT-4 Turbo supports 128K tokens whereas Claude Opus 5.5 supports 1M tokens.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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: OpenAI & Anthropic Official Documentation