GPT-6 Sol vs Claude Sonnet 5.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
GPT-6 Sol dari OpenAI dan Claude Sonnet 5.5 dari Anthropic adalah dua model AI unggulan. GPT-6 Sol menawarkan jendela konteks 1M token dengan harga $2.00/$10.00 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.
Ganti & Bandingkan Model Apa Saja
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
GPT-6 Sol
Model Unggulan Garis DepanGPT-6 Sol dari OpenAI adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 116 token/detik, indeks kecerdasan 93/100, serta tarif $2/$
$2.00 / 1M
$10.00 / 1M
1M tokens
82.1%
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
- GPT-6 Sol is 1.0x cheaper for API usage (input + output tokens combined).
- GPT-6 Sol is faster at 116 tok/s vs 105 tok/s.
- Claude Sonnet 5.5 leads on SWE-bench coding (82.9% vs 82.1%).
| Feature | GPT-6 Sol | Claude Sonnet 5.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 93 | 78 |
Provider | OpenAI | Anthropic |
Input Price Cost per million input tokens | $2.00 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $10.00 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $1.47 / 1M | $1.54 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 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 | 116 tok/s | 105 tok/s |
SWE-bench Verified Real-world software engineering | 82.1% | 82.9% |
GPQA Diamond Graduate-level reasoning | 80.6% | 79.4% |
Cached Input Price Prompt caching discount per 1M tokens | $0.10 / 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-6 Sol · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 82.1% · GPQA Diamond 80.6%)
- Kecepatan generasi tinggi 116 token/detik dengan latensi token pertama (TTFT) hanya 1160 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
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-6 Sol | Claude Sonnet 5.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $2.00 | $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-6 Sol | Claude Sonnet 5.5 |
|---|---|---|
| Official API Model ID (SDK) | gpt-6-sol | claude-sonnet-5-5-20260901 |
| API Protocol | OpenAI Responses API & Chat Completions v1 | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2026-09 | 2026-09 |
| Knowledge Cutoff | April 2026 | June 2026 |
| Architecture | Cost-efficient frontier unified reasoning model | Adaptive Frontier Multimodal Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($2/1M in) across full 1000K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0.1/1M (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-6 Sol vs Claude Sonnet 5.5: Jawaban Cepat (FAQ)
Which is more intelligent, GPT-6 Sol or Claude Sonnet 5.5?
GPT-6 Sol is more intelligent. It scores 93 compared with 78 on the composite Intelligence Index.
Which model is faster?
GPT-6 Sol is faster, generating 116 tokens per second compared with 105 tokens per second.
Which model is cheaper to run?
GPT-6 Sol is cheaper at $1.47 per 1M tokens blended, compared with $1.54 (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 1.16s.
Kesimpulan
Baik GPT-6 Sol (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: GPT-6 Sol unggul dalam penalaran dan pemrograman, GPT-6 Sol memberikan kecepatan generasi token lebih tinggi, dan GPT-6 Sol lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, GPT-6 Sol atau Claude Sonnet 5.5?+
Dalam indeks kecerdasan gabungan dan benchmark coding, GPT-6 Sol memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API GPT-6 Sol vs Claude Sonnet 5.5?+
GPT-6 Sol mengenakan biaya $2.00 / $10.00 per 1M token input/output, sedangkan Claude Sonnet 5.5 sebesar $2.00 / $10.00. Secara keseluruhan, GPT-6 Sol lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
GPT-6 Sol mendukung konteks 1M token dibandingkan 1M token pada Claude Sonnet 5.5, sementara GPT-6 Sol 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
- Claude Sonnet 5.5 vs DeepSeek V4 Pro: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Claude Sonnet 5.5 vs Gemini 4 Argon: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Claude Sonnet 5 vs Claude Sonnet 5.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Devstral 2 vs Claude Sonnet 5.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-5.1 Codex Max vs Claude Sonnet 5.5: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-6 Sol vs Claude Opus 5.5: 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).