GPT-5.1 Codex Max vs Claude Sonnet 5.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
GPT-5.1 Codex Max dari OpenAI dan Claude Sonnet 5.5 dari Anthropic adalah dua model AI unggulan. GPT-5.1 Codex Max menawarkan jendela konteks 400K token dengan harga $1.75/$14.00 per 1 juta token, sedangkan Claude Sonnet 5.5 menyediakan konteks 1M token seharga $2.00/$10.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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GPT-5.1 Codex Max
Model Unggulan Garis DepanGPT-5.1 Codex Max dari OpenAI adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 400K, kecepatan 95 token/detik, indeks kecerdasan 62/100, serta t
$1.75 / 1M
$14.00 / 1M
400K tokens
78.2%
Claude Sonnet 5.5
Model Unggulan Garis DepanClaude Sonnet 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 105 token/detik, indeks kecerdasan 78/100, serta
$2.00 / 1M
$10.00 / 1M
1M tokens
82.9%
Perbedaan Utama Sekilas
- Claude Sonnet 5.5 is 1.3x cheaper for API usage (input + output tokens combined).
- Claude Sonnet 5.5 has a larger context window (1M vs 400K tokens).
- Claude Sonnet 5.5 is faster at 105 tok/s vs 95 tok/s.
- Claude Sonnet 5.5 leads on SWE-bench coding (82.9% vs 78.2%).
| Feature | GPT-5.1 Codex Max | Claude Sonnet 5.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 62 | 78 |
Provider | OpenAI | Anthropic |
Input Price Cost per million input tokens | $1.75 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $14.00 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $1.87 / 1M | $1.54 / 1M |
Context Window Maximum input + output tokens | 400K tokens~600 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 | 95 tok/s | 105 tok/s |
SWE-bench Verified Real-world software engineering | 78.2% | 82.9% |
GPQA Diamond Graduate-level reasoning | 80% | 79.4% |
Cached Input Price Prompt caching discount per 1M tokens | $0.17 / 1M | $0.20 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkSkor Benchmark Terverifikasi
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.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
GPT-5.1 Codex Max · Strengths & Key Advantages
- Jendela konteks 400K dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 78.2% · GPQA Diamond 80%)
- Kecepatan generasi tinggi 95 token/detik dengan latensi token pertama (TTFT) hanya 1700 ms
- Skema harga API kompetitif (tarif $1.75/$14 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
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Claude Sonnet 5.5 · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 82.9% · GPQA Diamond 79.4%)
- Kecepatan generasi tinggi 105 token/detik dengan latensi token pertama (TTFT) hanya 550 ms
- Skema harga API kompetitif (tarif $2/$10 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 | GPT-5.1 Codex Max | Claude Sonnet 5.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $2.40 | $3.29 |
Output Tokens / Task Tokens generated per task | 62K | 72K |
Reasoning Tokens / Task Thinking tokens burned per task | 36K | 37K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT-5.1 Codex Max | Claude Sonnet 5.5 |
|---|---|---|
| Official API Model ID (SDK) | gpt-5-1-codex-max | claude-sonnet-5-5-20260901 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2025-11 | 2026-09 |
| Knowledge Cutoff | October 2024 | June 2026 |
| Architecture | Maximum-capability code-specialised reasoning model | Adaptive Frontier Multimodal 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 ($1.75/1M in) across full 400K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0.175/1M (no extra cache-write fee) | $0.2/1M 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-5.1 Codex Max vs Claude Sonnet 5.5: Jawaban Cepat (FAQ)
Which is more intelligent, GPT-5.1 Codex Max or Claude Sonnet 5.5?
Claude Sonnet 5.5 is more intelligent. It scores 78 compared with 62 on the composite Intelligence Index.
Which model is faster?
Claude Sonnet 5.5 is faster, generating 105 tokens per second compared with 95 tokens per second.
Which model is cheaper to run?
Claude Sonnet 5.5 is cheaper at $1.54 per 1M tokens blended, compared with $1.87 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Claude Sonnet 5.5 has lower latency, with a time to first token of 0.55s compared with 1.70s.
Which model has a larger context window?
Claude Sonnet 5.5 has a larger context window, supporting 1M tokens compared with 400K tokens.
Kesimpulan
Baik GPT-5.1 Codex Max (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Sonnet 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 Sonnet 5.5 unggul dalam penalaran dan pemrograman, Claude Sonnet 5.5 memberikan kecepatan generasi token lebih tinggi, dan Claude Sonnet 5.5 lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, GPT-5.1 Codex Max atau Claude Sonnet 5.5?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Claude Sonnet 5.5 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API GPT-5.1 Codex Max vs Claude Sonnet 5.5?+
GPT-5.1 Codex Max mengenakan biaya $1.75 / $14.00 per 1M token input/output, sedangkan Claude Sonnet 5.5 sebesar $2.00 / $10.00. Secara keseluruhan, Claude Sonnet 5.5 lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
GPT-5.1 Codex Max mendukung konteks 400K token dibandingkan 1M token pada Claude Sonnet 5.5, sementara Claude Sonnet 5.5 unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
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- GPT-5.1 Codex Max vs Claude Opus 5.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-5.1 Codex Max vs Devstral 2: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
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.
Sumber resmi: Dokumentasi API resmi OpenAI & Anthropic serta evaluasi benchmark independen (2026).