Grok 4.1 vs Grok-3
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Grok 4.1 dari xAI dan Grok-3 dari xAI adalah dua model AI unggulan. Grok 4.1 menawarkan jendela konteks 2M token dengan harga $0.20/$1.00 per 1 juta token, sedangkan Grok-3 menyediakan konteks 1M token seharga $3.00/$15.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Grok 4.1
Model Unggulan Garis DepanGrok 4.1 dari xAI adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 2M, kecepatan 142 token/detik, indeks kecerdasan 51/100, serta tarif $0.2/$1
$0.20 / 1M
$1.00 / 1M
2M tokens
66.4%
Grok-3
Mesin Penalaran MendalamGrok-3 dari xAI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 1M, kecepatan 95 token/detik, indeks kecerdasan 54/100, serta tarif $3/$15 per 1M to
$3.00 / 1M
$15.00 / 1M
1M tokens
65.2%
Perbedaan Utama Sekilas
- Grok 4.1 is 15.0x cheaper for API usage (input + output tokens combined).
- Grok 4.1 has a larger context window (2M vs 1M tokens).
- Grok 4.1 is faster at 142 tok/s vs 95 tok/s.
- Grok 4.1 leads on SWE-bench coding (66.4% vs 65.2%).
| Feature | Grok 4.1 | Grok-3 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 51 | 54 |
Provider | xAI | xAI |
Input Price Cost per million input tokens | $0.20 / 1M | $3.00 / 1M |
Output Price Cost per million output tokens | $1.00 / 1M | $15.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.17 / 1M | $2.63 / 1M |
Context Window Maximum input + output tokens | 2M tokens~3,000 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 66K | 33K |
Throughput Speed Tokens generated per second | 142 tok/s | 95 tok/s |
SWE-bench Verified Real-world software engineering | 66.4% | 65.2% |
GPQA Diamond Graduate-level reasoning | 63.8% | 74% |
Cached Input Price Prompt caching discount per 1M tokens | $0.05 / 1M | $0.75 / 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.
Grok 4.1 · Strengths & Key Advantages
- Jendela konteks 2M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 66.4% · GPQA Diamond 63.8%)
- Kecepatan generasi tinggi 142 token/detik dengan latensi token pertama (TTFT) hanya 1500 ms
- Skema harga API kompetitif (tarif $0.2/$1 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
Grok-3 · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 65.2% · GPQA Diamond 74%)
- Kecepatan generasi tinggi 95 token/detik dengan latensi token pertama (TTFT) hanya 1100 ms
- Skema harga API kompetitif (tarif $3/$15 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 | Grok 4.1 | Grok-3 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.28 | $0.20 |
Output Tokens / Task Tokens generated per task | 40K | 24K |
Reasoning Tokens / Task Thinking tokens burned per task | 21K | 15K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Grok 4.1 | Grok-3 |
|---|---|---|
| Official API Model ID (SDK) | grok-4-1-latest | grok-3-latest |
| API Protocol | xAI REST API (OpenAI-Compatible) | xAI REST API (OpenAI-Compatible) |
| Release Date | 2025-11 | 2025-02 |
| Knowledge Cutoff | 2025 | Late 2024 |
| Architecture | Sparse MoE | Hybrid Reasoning Deep MoE |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.2/1M in) across full 2000K window | Flat rate ($3/1M in) across full 1000K window |
| Prompt Cache Policy & TTL | Cached input at $0.05/1M tokens | Cached input at $0.75/1M tokens |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| 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 | Real-time Web & X (Twitter) Search Grounding + Code Execution | Real-time Web & X (Twitter) Search Grounding + Code Execution |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | API Prompt Engineering & RAG 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 | xAI Production Safety & Alignment Verified | xAI Production Safety & Alignment Verified |
| 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 |
Grok 4.1 vs Grok-3: Jawaban Cepat (FAQ)
Which is more intelligent, Grok 4.1 or Grok-3?
Grok-3 is more intelligent. It scores 54 compared with 51 on the composite Intelligence Index.
Which model is faster?
Grok 4.1 is faster, generating 142 tokens per second compared with 95 tokens per second.
Which model is cheaper to run?
Grok 4.1 is cheaper at $0.17 per 1M tokens blended, compared with $2.63 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Grok-3 has lower latency, with a time to first token of 1.10s compared with 1.50s.
Which model has a larger context window?
Grok 4.1 has a larger context window, supporting 2M tokens compared with 1M tokens.
Kesimpulan
Baik Grok 4.1 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Grok-3 (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Grok-3 unggul dalam penalaran dan pemrograman, Grok 4.1 memberikan kecepatan generasi token lebih tinggi, dan Grok 4.1 lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Grok 4.1 atau Grok-3?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Grok-3 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Grok 4.1 vs Grok-3?+
Grok 4.1 mengenakan biaya $0.20 / $1.00 per 1M token input/output, sedangkan Grok-3 sebesar $3.00 / $15.00. Secara keseluruhan, Grok 4.1 lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Grok 4.1 mendukung konteks 2M token dibandingkan 1M token pada Grok-3, sementara Grok 4.1 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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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 xAI & xAI serta evaluasi benchmark independen (2026).