Claude Fable 5.1 vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Claude Fable 5.1 dari Anthropic dan GPT-6 Astra dari OpenAI adalah dua model AI unggulan. Claude Fable 5.1 menawarkan jendela konteks 1M token dengan harga $10.00/$50.00 per 1 juta token, sedangkan GPT-6 Astra menyediakan konteks 272K token seharga $10.00/$50.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Claude Fable 5.1
Model Unggulan Garis DepanClaude Fable 5.1 dari Anthropic adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 65 token/detik, indeks kecerdasan 82/100, serta t
$10.00 / 1M
$50.00 / 1M
1M tokens
83.8%
GPT-6 Astra
Model Suara & Audio AsliGPT-6 Astra dari OpenAI adalah model AI yang dirancang untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, menghadirkan jendela konteks 272K, kecepatan 100 token/detik, indeks kecerdasan 96/100, serta tarif $10/$
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
Perbedaan Utama Sekilas
- Claude Fable 5.1 is 1.0x cheaper for API usage (input + output tokens combined).
- Claude Fable 5.1 has a larger context window (1M vs 272K tokens).
- GPT-6 Astra is faster at 100 tok/s vs 65 tok/s.
- Claude Fable 5.1 leads on SWE-bench coding (83.8% vs 82.4%).
| Feature | Claude Fable 5.1 | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 82 | 96 |
Provider | Anthropic | OpenAI |
Input Price Cost per million input tokens | $10.00 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $50.00 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $7.17 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 128K | 128K |
Throughput Speed Tokens generated per second | 65 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | 83.8% | 82.4% |
GPQA Diamond Graduate-level reasoning | 81.6% | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $0.25 / 1M | $1.00 / 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.
Claude Fable 5.1 · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 83.8% · GPQA Diamond 81.6%)
- Kecepatan generasi tinggi 65 token/detik dengan latensi token pertama (TTFT) hanya 1450 ms
- Skema harga API kompetitif (tarif $10/$50 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
GPT-6 Astra · Strengths & Key Advantages
- Jendela konteks 272K dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
- Kecepatan generasi tinggi 100 token/detik dengan latensi token pertama (TTFT) hanya 950 ms
- Skema harga API kompetitif (tarif $10/$50 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 | Claude Fable 5.1 | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $10.97 | $2.15 |
Output Tokens / Task Tokens generated per task | 72K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 37K | 32K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Claude Fable 5.1 | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | claude-fable-5-1-20260901 | gpt-6-astra |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-09 | 2026-09 |
| Knowledge Cutoff | June 2026 | June 2026 |
| Architecture | Frontier Auditable Multimodal Transformer | Omni-Adaptive Autoregressive with Dynamic CoT |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | $0.25/1M cached read (90% off); 5-min default & 1-hour extended TTL | Automatic prefix caching at $1/1M (no extra cache-write fee) |
| 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 Citations + Code Execution Tool + MCP Connectors | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| 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) · Audio (~25–32 tokens/sec) |
| 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 | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | OpenAI Preparedness Framework Audited & System Card Published |
| 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, audio |
| Output Modalities | text | text, audio |
Claude Fable 5.1 vs GPT-6 Astra: Jawaban Cepat (FAQ)
Which is more intelligent, Claude Fable 5.1 or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 82 on the composite Intelligence Index.
Which model is faster?
GPT-6 Astra is faster, generating 100 tokens per second compared with 65 tokens per second.
Which model is cheaper to run?
Claude Fable 5.1 is cheaper at $7.17 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-6 Astra has lower latency, with a time to first token of 0.95s compared with 1.45s.
Which model has a larger context window?
Claude Fable 5.1 has a larger context window, supporting 1M tokens compared with 272K tokens.
Kesimpulan
Baik Claude Fable 5.1 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun GPT-6 Astra (Sangat cocok untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: GPT-6 Astra unggul dalam penalaran dan pemrograman, GPT-6 Astra memberikan kecepatan generasi token lebih tinggi, dan Claude Fable 5.1 lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Claude Fable 5.1 atau GPT-6 Astra?+
Dalam indeks kecerdasan gabungan dan benchmark coding, GPT-6 Astra memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Claude Fable 5.1 vs GPT-6 Astra?+
Claude Fable 5.1 mengenakan biaya $10.00 / $50.00 per 1M token input/output, sedangkan GPT-6 Astra sebesar $10.00 / $50.00. Secara keseluruhan, Claude Fable 5.1 lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Claude Fable 5.1 mendukung konteks 1M token dibandingkan 272K token pada GPT-6 Astra, sementara GPT-6 Astra 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 Fable 5.1 vs Gemini 3 Pro: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Claude Mythos 5.1 vs GPT-6 Astra: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Command A Plus vs GPT-6 Astra: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- DeepSeek V4 Pro vs GPT-6 Astra: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- Gemini 4 Argon vs Claude Fable 5.1: Perbandingan Benchmark, Harga API & Kecepatan (2026)Bandingkan
- GPT-6.1 Sol vs GPT-6 Astra: 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 Anthropic & OpenAI serta evaluasi benchmark independen (2026).