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Head-to-Head Model Comparison

o3-pro vs Grok 4.20 (Reasoning)

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
o3-pro vs Grok 4.20 (Reasoning): Benchmarks, Pricing & Speed Comparison

OpenAI tarafından geliştirilen o3-pro ve xAI tarafından sunulan Grok 4.20 (Reasoning), kendi sınıflarının öne çıkan yapay zeka modelleridir. o3-pro, 200K token bağlam penceresi ve 1M token başına $20.00/$80.00 fiyat sunarken; Grok 4.20 (Reasoning), 1M token bağlam penceresi ve $3.00/$15.00 fiyatla gelir. Aşağıda tüm benchmark, hız ve maliyet detaylarını inceleyebilirsiniz.

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o3-pro

Derin Akıl Yürütme Motoru

OpenAI tarafından geliştirilen o3-pro; derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz için tasarlanmış olup 200K bağlam penceresi, 30 token/sn hız, 58/100 zeka indeksi ve 1M token başına $20/$80 fiyatlandırma su

Intelligence Index58 / 100
Input Token:

$20.00 / 1M

Output Token:

$80.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

71.5%

xAI

Grok 4.20 (Reasoning)

Derin Akıl Yürütme Motoru

xAI tarafından geliştirilen Grok 4.20 (Reasoning); derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz için tasarlanmış olup 1M bağlam penceresi, 95 token/sn hız, 68/100 zeka indeksi ve 1M token başına $3/$15 fiyatla

Intelligence Index68 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

68.2%

Bir Bakışta Temel Farklar

  • Grok 4.20 (Reasoning) is 5.7x cheaper for API usage (input + output tokens combined).
  • Grok 4.20 (Reasoning) has a larger context window (1M vs 200K tokens).
  • Grok 4.20 (Reasoning) is faster at 95 tok/s vs 30 tok/s.
  • o3-pro leads on SWE-bench coding (71.5% vs 68.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
Featureo3-proGrok 4.20 (Reasoning)
Intelligence Index
Composite reasoning & knowledge score (0-100)
5868
Provider
OpenAIxAI
Input Price
Cost per million input tokens
$20.00 / 1M$3.00 / 1M
Output Price
Cost per million output tokens
$80.00 / 1M$15.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$15.50 / 1M$2.63 / 1M
Context Window
Maximum input + output tokens
200K tokens~300 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
100K66K
Throughput Speed
Tokens generated per second
30 tok/s95 tok/s
SWE-bench Verified
Real-world software engineering
71.5%68.2%
GPQA Diamond
Graduate-level reasoning
79.5%72.8%
Cached Input Price
Prompt caching discount per 1M tokens
$5.00 / 1M$0.75 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework
Coding
o3-pro
+3.3% SWE-bench lead
Cost
Grok 4.20 (Reasoning)
5.7x cheaper monthly runtime
Speed
Grok 4.20 (Reasoning)
+217% faster generation
Context
Grok 4.20 (Reasoning)
1M tokens window

Doğrulanmış Benchmark Puanları

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

o3-proGrok 4.20 (Reasoning)
SWE-bench Verified (Autonomous Coding)

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

71.5%vs68.2%
GPQA Diamond (Doctorate-Level Science & Math)

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

79.5%vs72.8%
MMLU-Pro (Multi-task Language Understanding)

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

88.5%vs84.1%
LMSYS Chatbot Arena Elo

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

1352ptsvs1395pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

13.6%vs11.8%
Terminal-Bench (Agentic Coding & Terminal Use)

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

47.5%vs44.5%
SciCode (Scientific Computing)

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

45.5%vs41.2%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

73%vs66.5%
AIME (Advanced Math Competition)

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

93%vs86.4%
Long-Context Reasoning

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

80.5%vs89.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

30 tok/s vs95 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
o3-pro5.20s
Grok 4.20 (Reasoning)0.98s
Est. End-to-End Response (500 tokens)TTFT + generation time
o3-pro21.87s
Grok 4.20 (Reasoning)6.24s

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)
o3-pro Monthly API Bill
$109.50 / month
$20/1M in · $80/1M out
Grok 4.20 (Reasoning) Monthly API Bill
$19.13 / month
$3/1M in · $15/1M out
Grok 4.20 (Reasoning) saves approximately $90.38 / month (83%) under this workload.5.7x Savings

o3-pro · Strengths & Key Advantages

  • 200K bağlam penceresi ve yanıt başına maksimum 100K çıktı tokenı kapasitesi (SWE-bench Verified 71.5% · GPQA Diamond 79.5%)
  • Sadece 5200 ms ilk token gecikmesi (TTFT) ile saniyede 30 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $20/$80 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

Grok 4.20 (Reasoning) · Strengths & Key Advantages

  • 1M bağlam penceresi ve yanıt başına maksimum 66K çıktı tokenı kapasitesi (SWE-bench Verified 68.2% · GPQA Diamond 72.8%)
  • Sadece 980 ms ilk token gecikmesi (TTFT) ile saniyede 95 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $3/$15 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.

Metrico3-proGrok 4.20 (Reasoning)
Cost per Task
Estimated USD to finish one task
$11.68$1.45
Output Tokens / Task
Tokens generated per task
58K45K
Reasoning Tokens / Task
Thinking tokens burned per task
38K28K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Featureo3-proGrok 4.20 (Reasoning)
Official API Model ID (SDK)o3-progrok-4-20-reasoning-latest
API ProtocolOpenAI Responses API & Chat Completions v1xAI REST API (OpenAI-Compatible)
Release Date2025-062026-03
Knowledge CutoffJune 2024November 2025
ArchitectureHigh-effort reasoning transformerColossus-Scale Reasoning Sparse MoE
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($20/1M in) across full 200K windowFlat rate ($3/1M in) across full 1000K window
Prompt Cache Policy & TTLAutomatic prefix caching at $5/1M (no extra cache-write fee)Cached input at $0.75/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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 & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGReal-time Web & X (Twitter) Search Grounding + Code Execution
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)API Prompt Engineering & RAG Distillation
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)
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 ClassificationOpenAI Preparedness Framework Audited & System Card PublishedxAI Production Safety & Alignment Verified
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
Output Modalitiestexttext

o3-pro vs Grok 4.20 (Reasoning): Hızlı Yanıtlar (SSS)

Which is more intelligent, o3-pro or Grok 4.20 (Reasoning)?

Grok 4.20 (Reasoning) is more intelligent. It scores 68 compared with 58 on the composite Intelligence Index.

Which model is faster?

Grok 4.20 (Reasoning) is faster, generating 95 tokens per second compared with 30 tokens per second.

Which model is cheaper to run?

Grok 4.20 (Reasoning) is cheaper at $2.63 per 1M tokens blended, compared with $15.50 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok 4.20 (Reasoning) has lower latency, with a time to first token of 0.98s compared with 5.20s.

Which model has a larger context window?

Grok 4.20 (Reasoning) has a larger context window, supporting 1M tokens compared with 200K tokens.

Sonuç

Hem o3-pro (derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Grok 4.20 (Reasoning) (derin mantıksal akıl yürütme, ileri matematik ve çok adımlı bilimsel analiz, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Grok 4.20 (Reasoning) karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Grok 4.20 (Reasoning) daha yüksek üretim hızı sağlar; Grok 4.20 (Reasoning) ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için o3-pro mi yoksa Grok 4.20 (Reasoning) mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Grok 4.20 (Reasoning) önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

o3-pro ve Grok 4.20 (Reasoning) API fiyatları nasıl karşılaştırılır?+

o3-pro 1M giriş/çıkış tokeni başına $20.00 / $80.00 ücretlendirilirken, Grok 4.20 (Reasoning) $3.00 / $15.00 seviyesindedir. Karma maliyette Grok 4.20 (Reasoning) daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

o3-pro 200K token bağlam penceresi sunarken Grok 4.20 (Reasoning) 1M token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Grok 4.20 (Reasoning) öndedir.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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: OpenAI ve xAI resmi API dokümantasyonu, sistem kartları ve bağımsız benchmark testleri (2026).