Head-to-Head Model Comparison

DeepSeek V4 Pro vs GPT-6 Astra

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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DeepSeek V4 ProProfile

GPT-6 AstraProfile

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Popular Matchups:

DeepSeek

DeepSeek V4 Pro

Otonom Ajan ve Araç Modeli

DeepSeek tarafından geliştirilen DeepSeek V4 Pro; otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon için tasarlanmış olup 1M bağlam penceresi, 80 token/sn hız, 53/100 zeka indeksi ve 1M token başına $1.32/$3.96 fi

Intelligence Index53 / 100

Input Token:

$1.32 / 1M

Output Token:

$3.96 / 1M

Context Window:

1M tokens

SWE-bench Verified:

68.5%

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

DeepSeek V4 Pro is 10.7x cheaper for API usage (input + output tokens combined).
DeepSeek V4 Pro has a larger context window (1M vs 272K tokens).
GPT-6 Astra is faster at 100 tok/s vs 80 tok/s.
GPT-6 Astra leads on SWE-bench coding (82.4% vs 68.5%).

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

Feature	DeepSeek V4 Pro	GPT-6 Astra
Intelligence Index Composite reasoning & knowledge score (0-100)	53	96
Provider	DeepSeek	OpenAI
Input Price Cost per million input tokens	$1.32 / 1M	$10.00 / 1M
Output Price Cost per million output tokens	$3.96 / 1M	$50.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.76 / 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	80 tok/s	100 tok/s
SWE-bench Verified Real-world software engineering	68.5%	82.4%
GPQA Diamond Graduate-level reasoning	81.2%	80.9%
Cached Input Price Prompt caching discount per 1M tokens	$0.14 / 1M	$1.00 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

GPT-6 Astra

+13.9% SWE-bench lead

Cost

DeepSeek V4 Pro

10.7x cheaper monthly runtime

Speed

GPT-6 Astra

+25% faster generation

Context

DeepSeek V4 Pro

1M tokens window

Doğrulanmış Benchmark Puanları

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

DeepSeek V4 ProGPT-6 Astra

SWE-bench Verified (Autonomous Coding)

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

68.5%vs82.4%

GPQA Diamond (Doctorate-Level Science & Math)

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

81.2%vs80.9%

MMLU-Pro (Multi-task Language Understanding)

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

88.9%vs89.9%

LMSYS Chatbot Arena Elo

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

1438ptsvs1520pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

15.6%vs18.2%

Terminal-Bench (Agentic Coding & Terminal Use)

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

46.5%vs63.8%

SciCode (Scientific Computing)

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

43%vs54.9%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

70.2%vs79.8%

AIME (Advanced Math Competition)

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

91%vs93.6%

Long-Context Reasoning

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

90%vs91.2%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 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

DeepSeek V4 Pro0.58s

GPT-6 Astra0.95s

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

DeepSeek V4 Pro6.83s

GPT-6 Astra5.95s

Gerçek Zamanlı Token Maliyet Simülatörü

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)

DeepSeek V4 Pro Monthly API Bill

$5.75 / month

$1.32/1M in · $3.96/1M out

GPT-6 Astra Monthly API Bill

$61.50 / month

$10/1M in · $50/1M out

DeepSeek V4 Pro saves approximately $55.75 / month (91%) under this workload.10.7x Savings

DeepSeek V4 Pro · Strengths & Key Advantages

1M bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 68.5% · GPQA Diamond 81.2%)
Sadece 580 ms ilk token gecikmesi (TTFT) ile saniyede 80 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (MoE (Colossal))

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
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.

Metric	DeepSeek V4 Pro	GPT-6 Astra
Cost per Task Estimated USD to finish one task	$0.67	$2.15
Output Tokens / Task Tokens generated per task	52K	58K
Reasoning Tokens / Task Thinking tokens burned per task	25K	32K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	DeepSeek V4 Pro	GPT-6 Astra
Official API Model ID (SDK)	deepseek-reasoner	gpt-6-astra
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI Responses API & Chat Completions v1
Release Date	2026-08	2026-09
Knowledge Cutoff	May 2026	June 2026
Architecture	Next-Gen Sparse MoE with Agent RL Tuning	Omni-Adaptive Autoregressive with Dynamic CoT
Parameters	MoE (Colossal)	Confidential
Enterprise Rate Limits (RPM / TPM)	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($1.32/1M in) across full 1000K window	Flat rate ($10/1M in) across full 272K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0.14/1M (no extra cache-write fee)	Automatic prefix caching at $1/1M (no extra cache-write fee)
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	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	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Native Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 43 GB VRAM (4-bit Quantized) · 151 GB VRAM (Native BF16)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)	OpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text	text, vision, audio
Output Modalities	text	text, audio

DeepSeek V4 Pro vs GPT-6 Astra: Hızlı Yanıtlar (SSS)

Which is more intelligent, DeepSeek V4 Pro or GPT-6 Astra?

GPT-6 Astra is more intelligent. It scores 96 compared with 53 on the composite Intelligence Index.

Which model is faster?

GPT-6 Astra is faster, generating 100 tokens per second compared with 80 tokens per second.

Which model is cheaper to run?

DeepSeek V4 Pro is cheaper at $0.76 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

DeepSeek V4 Pro has lower latency, with a time to first token of 0.58s compared with 0.95s.

Which model has a larger context window?

DeepSeek V4 Pro has a larger context window, supporting 1M tokens compared with 272K tokens.

Sonuç

Hem DeepSeek V4 Pro (otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de GPT-6 Astra (doğal ses sentezi, gerçek zamanlı ses işleme ve konuşma metne dönüştürme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: GPT-6 Astra karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-6 Astra daha yüksek üretim hızı sağlar; DeepSeek V4 Pro ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için DeepSeek V4 Pro mi yoksa GPT-6 Astra mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde GPT-6 Astra önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

DeepSeek V4 Pro ve GPT-6 Astra API fiyatları nasıl karşılaştırılır?+

DeepSeek V4 Pro 1M giriş/çıkış tokeni başına $1.32 / $3.96 ücretlendirilirken, GPT-6 Astra $10.00 / $50.00 seviyesindedir. Karma maliyette DeepSeek V4 Pro daha avantajlıdır.

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

DeepSeek V4 Pro 1M token bağlam penceresi sunarken GPT-6 Astra 272K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-6 Astra 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

DeepSeek V4 Pro vs GPT-6 Astra

İstediğiniz Modelleri Seçin ve Karşılaştırın

DeepSeek V4 Pro

GPT-6 Astra

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

DeepSeek V4 Pro · Strengths & Key Advantages

Considerations & Trade-offs

GPT-6 Astra · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

DeepSeek V4 Pro vs GPT-6 Astra: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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