Head-to-Head Model Comparison

GPT-5.3 Chat vs Grok 4.3

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

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GPT-5.3 ChatProfile

Grok 4.3Profile

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Popular Matchups:

OpenAI

GPT-5.3 Chat

Model Unggulan Garis Depan

GPT-5.3 Chat dari OpenAI adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 128K, kecepatan 138 token/detik, indeks kecerdasan 69/100, serta akses

Intelligence Index69 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

77%

xAI

Grok 4.3

Model Unggulan Garis Depan

Grok 4.3 dari xAI adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 110 token/detik, indeks kecerdasan 71/100, serta tarif $1.25/$2

Intelligence Index71 / 100

Input Token:

$1.25 / 1M

Output Token:

$2.50 / 1M

Context Window:

1M tokens

SWE-bench Verified:

71.4%

Perbedaan Utama Sekilas

GPT-5.3 Chat is 1.0x cheaper for API usage (input + output tokens combined).
Grok 4.3 has a larger context window (1M vs 128K tokens).
GPT-5.3 Chat is faster at 138 tok/s vs 110 tok/s.
GPT-5.3 Chat leads on SWE-bench coding (77.0% vs 71.4%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	GPT-5.3 Chat	Grok 4.3
Intelligence Index Composite reasoning & knowledge score (0-100)	69	71
Provider	OpenAI	xAI
Input Price Cost per million input tokens	$0.00 / 1M	$1.25 / 1M
Output Price Cost per million output tokens	$0.00 / 1M	$2.50 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.00 / 1M	$0.72 / 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	16K	66K
Throughput Speed Tokens generated per second	138 tok/s	110 tok/s
SWE-bench Verified Real-world software engineering	77%	71.4%
GPQA Diamond Graduate-level reasoning	78%	73.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.00 / 1M	$0.31 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

GPT-5.3 Chat

+5.6% SWE-bench lead

Cost

GPT-5.3 Chat

1.0x cheaper monthly runtime

Speed

GPT-5.3 Chat

+25% faster generation

Context

Grok 4.3

1M tokens window

Skor Benchmark Terverifikasi

Official evaluation metrics verified by independent third-party research labs.

GPT-5.3 ChatGrok 4.3

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

77%vs71.4%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

78%vs73.5%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

88%vs85.2%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1416ptsvs1410pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

14.4%vs12.8%

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

52.5%vs47%

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

48%vs44.5%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

76%vs71.2%

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

93.6%vs85%

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

83%vs88.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

138 tok/s vs110 tok/s

Latensi & Waktu Respons

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

GPT-5.3 Chat1.06s

Grok 4.30.65s

Est. End-to-End Response (500 tokens)TTFT + generation time

GPT-5.3 Chat4.68s

Grok 4.35.20s

Simulator Biaya Token Interaktif

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

GPT-5.3 Chat Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

Grok 4.3 Monthly API Bill

$4.59 / month

$1.25/1M in · $2.5/1M out

GPT-5.3 Chat saves approximately $4.59 / month (100%) under this workload.1.0x Savings

GPT-5.3 Chat · Strengths & Key Advantages

Jendela konteks 128K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 77% · GPQA Diamond 78%)
Kecepatan generasi tinggi 138 token/detik dengan latensi token pertama (TTFT) hanya 1060 ms
Skema harga API kompetitif (akses gratis open-weights) 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 4.3 · Strengths & Key Advantages

Jendela konteks 1M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 71.4% · GPQA Diamond 73.5%)
Kecepatan generasi tinggi 110 token/detik dengan latensi token pertama (TTFT) hanya 650 ms
Skema harga API kompetitif (tarif $1.25/$2.5 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

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	GPT-5.3 Chat	Grok 4.3
Cost per Task Estimated USD to finish one task	$2.20	$1.35
Output Tokens / Task Tokens generated per task	56K	46K
Reasoning Tokens / Task Thinking tokens burned per task	31K	22K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.3 Chat	Grok 4.3
Official API Model ID (SDK)	gpt-5-3-chat	grok-4-3-latest
API Protocol	OpenAI Responses API & Chat Completions v1	xAI REST API (OpenAI-Compatible)
Release Date	2026-03	2026-04
Knowledge Cutoff	November 2025	January 2026
Architecture	Chat-tuned unified reasoning model	Colossus-Scale Mixture-of-Experts
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Free across full context window (only KV-cache VRAM scales)	Flat rate ($1.25/1M in) across full 1000K window
Prompt Cache Policy & TTL	Automatic prefix KV-caching in vLLM / SGLang (0 cost)	Cached input at $0.31/1M tokens
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	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	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	Real-time Web & X (Twitter) Search Grounding + Code Execution
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	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	OpenAI Preparedness Framework Audited & System Card Published	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

GPT-5.3 Chat vs Grok 4.3: Jawaban Cepat (FAQ)

Which is more intelligent, GPT-5.3 Chat or Grok 4.3?

Grok 4.3 is more intelligent. It scores 71 compared with 69 on the composite Intelligence Index.

Which model is faster?

GPT-5.3 Chat is faster, generating 138 tokens per second compared with 110 tokens per second.

Which model is cheaper to run?

GPT-5.3 Chat is cheaper at $0.00 per 1M tokens blended, compared with $0.72 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok 4.3 has lower latency, with a time to first token of 0.65s compared with 1.06s.

Which model has a larger context window?

Grok 4.3 has a larger context window, supporting 1M tokens compared with 128K tokens.

Kesimpulan

Baik GPT-5.3 Chat (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Grok 4.3 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Grok 4.3 unggul dalam penalaran dan pemrograman, GPT-5.3 Chat memberikan kecepatan generasi token lebih tinggi, dan GPT-5.3 Chat lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, GPT-5.3 Chat atau Grok 4.3?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Grok 4.3 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API GPT-5.3 Chat vs Grok 4.3?+

GPT-5.3 Chat mengenakan biaya $0.00 / $0.00 per 1M token input/output, sedangkan Grok 4.3 sebesar $1.25 / $2.50. Secara keseluruhan, GPT-5.3 Chat lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

GPT-5.3 Chat mendukung konteks 128K token dibandingkan 1M token pada Grok 4.3, sementara GPT-5.3 Chat unggul dalam kecepatan output token per detik.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

GPT-5.3 Chat vs Grok 4.3

Ganti & Bandingkan Model Apa Saja

GPT-5.3 Chat

Grok 4.3

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

GPT-5.3 Chat · Strengths & Key Advantages

Considerations & Trade-offs

Grok 4.3 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

GPT-5.3 Chat vs Grok 4.3: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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