Head-to-Head Model Comparison

Grok Build 0.1 vs GPT-6 Astra

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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Compare Grok Build 0.1 by xAI against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.

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xAI

Grok Build 0.1

Kodlama ve Yazılım Lideri

xAI tarafından geliştirilen Grok Build 0.1; otonom yazılım mühendisliği, çoklu dosya kod düzenleme ve ileri düzey hata ayıklama için tasarlanmış olup 256K bağlam penceresi, 120 token/sn hız, 65/100 zeka indeksi ve 1M token başına $1/$2 fiya

Intelligence Index65 / 100
Input Token:

$1.00 / 1M

Output Token:

$2.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

69.8%

OpenAI

GPT-6 Astra

Yerel Ses ve Konuşma Modeli

OpenAI tarafından geliştirilen GPT-6 Astra; doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme için tasarlanmış olup 272K bağlam penceresi, 100 token/sn hız, 96/100 zeka indeksi ve 1M token başına $10/$50 fiyatlandırma

Intelligence Index96 / 100
Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

Bir Bakışta Temel Farklar

  • Grok Build 0.1 is 16.7x cheaper for API usage (input + output tokens combined).
  • GPT-6 Astra has a larger context window (272K vs 256K tokens).
  • Grok Build 0.1 is faster at 120 tok/s vs 100 tok/s.
  • GPT-6 Astra leads on SWE-bench coding (82.4% vs 69.8%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGrok Build 0.1GPT-6 Astra
Intelligence Index
Composite reasoning & knowledge score (0-100)
6596
Provider
xAIOpenAI
Input Price
Cost per million input tokens
$1.00 / 1M$10.00 / 1M
Output Price
Cost per million output tokens
$2.00 / 1M$50.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.57 / 1M$7.70 / 1M
Context Window
Maximum input + output tokens
256K tokens~384 A4 pages of text272K tokens~408 A4 pages of text
Max Output Tokens
Per single request
66K128K
Throughput Speed
Tokens generated per second
120 tok/s100 tok/s
SWE-bench Verified
Real-world software engineering
69.8%82.4%
GPQA Diamond
Graduate-level reasoning
68.2%80.9%
Cached Input Price
Prompt caching discount per 1M tokens
$0.25 / 1M$1.00 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework
Coding
GPT-6 Astra
+12.6% SWE-bench lead
Cost
Grok Build 0.1
16.7x cheaper monthly runtime
Speed
Grok Build 0.1
+20% faster generation
Context
GPT-6 Astra
272K tokens window

Doğrulanmış Benchmark Puanları

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

Grok Build 0.1GPT-6 Astra
SWE-bench Verified (Autonomous Coding)

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

69.8%vs82.4%
GPQA Diamond (Doctorate-Level Science & Math)

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

68.2%vs80.9%
MMLU-Pro (Multi-task Language Understanding)

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

82.5%vs89.9%
LMSYS Chatbot Arena Elo

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

1375ptsvs1520pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

10.5%vs18.2%
Terminal-Bench (Agentic Coding & Terminal Use)

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

46.2%vs63.8%
SciCode (Scientific Computing)

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

42%vs54.9%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

68.5%vs79.8%
AIME (Advanced Math Competition)

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

82.1%vs93.6%
Long-Context Reasoning

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

80.4%vs91.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

120 tok/s vs100 tok/s

Gecikme Süresi ve Yanıt Hızı

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
Grok Build 0.10.55s
GPT-6 Astra0.95s
Est. End-to-End Response (500 tokens)TTFT + generation time
Grok Build 0.14.72s
GPT-6 Astra5.95s

Gerçek Zamanlı Token Maliyet Simülatörü

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Grok Build 0.1 Monthly API Bill
$3.67 / month
$1/1M in · $2/1M out
GPT-6 Astra Monthly API Bill
$61.50 / month
$10/1M in · $50/1M out
Grok Build 0.1 saves approximately $57.83 / month (94%) under this workload.16.7x Savings

Grok Build 0.1 · Strengths & Key Advantages

  • 256K bağlam penceresi ve yanıt başına maksimum 66K çıktı tokenı kapasitesi (SWE-bench Verified 69.8% · GPQA Diamond 68.2%)
  • Sadece 550 ms ilk token gecikmesi (TTFT) ile saniyede 120 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $1/$2 fiyatlandırma)
Considerations & Trade-offs
  • Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
  • Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

GPT-6 Astra · Strengths & Key Advantages

  • 272K bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
  • Sadece 950 ms ilk token gecikmesi (TTFT) ile saniyede 100 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $10/$50 fiyatlandırma)
Considerations & Trade-offs
  • Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
  • Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir

Token Use & Task Economics

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

MetricGrok Build 0.1GPT-6 Astra
Cost per Task
Estimated USD to finish one task
$0.95$2.15
Output Tokens / Task
Tokens generated per task
42K58K
Reasoning Tokens / Task
Thinking tokens burned per task
18K32K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

FeatureGrok Build 0.1GPT-6 Astra
Official API Model ID (SDK)grok-build-0-1-latestgpt-6-astra
API ProtocolxAI REST API (OpenAI-Compatible)OpenAI Responses API & Chat Completions v1
Release Date2026-042026-09
Knowledge CutoffJanuary 2026June 2026
ArchitectureCode-Specialized Autoregressive TransformerOmni-Adaptive Autoregressive with Dynamic CoT
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($1/1M in) across full 256K windowFlat rate ($10/1M in) across full 272K window
Prompt Cache Policy & TTLCached input at $0.25/1M tokensAutomatic prefix caching at $1/1M (no extra cache-write fee)
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxReal-time Web & X (Twitter) Search Grounding + Code ExecutionNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText 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 VRAMCloud-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 ClassificationxAI Production Safety & Alignment VerifiedOpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext, vision, audio
Output Modalitiestexttext, audio

Grok Build 0.1 vs GPT-6 Astra: Hızlı Yanıtlar (SSS)

Which is more intelligent, Grok Build 0.1 or GPT-6 Astra?

GPT-6 Astra is more intelligent. It scores 96 compared with 65 on the composite Intelligence Index.

Which model is faster?

Grok Build 0.1 is faster, generating 120 tokens per second compared with 100 tokens per second.

Which model is cheaper to run?

Grok Build 0.1 is cheaper at $0.57 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok Build 0.1 has lower latency, with a time to first token of 0.55s compared with 0.95s.

Which model has a larger context window?

GPT-6 Astra has a larger context window, supporting 272K tokens compared with 256K tokens.

Sonuç

Choose Grok Build 0.1 for otonom yazılım mühendisliği, çoklu dosya kod düzenleme ve ileri düzey hata ayıklama, kurumsal rag mimarileri ve ölçeklenebilir üretim api entegrasyonları için idealdir., or choose GPT-6 Astra for doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme, kurumsal rag mimarileri ve ölçeklenebilir üretim api entegrasyonları için idealdir..

Sıkça Sorulan Sorular (SSS)

Which is cheaper: Grok Build 0.1 or GPT-6 Astra?+

Grok Build 0.1 costs $1/1M input and $2/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.

Which model has a larger context window: Grok Build 0.1 or GPT-6 Astra?+

Grok Build 0.1 supports 256K tokens whereas GPT-6 Astra supports 272K tokens.

AI Terminology & Guide
Explore Glossary →

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

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.

Resmi kaynaklar: xAI & OpenAI Official Documentation