Head-to-Head Model Comparison

Kimi K3 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

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Kimi K3Profile

GPT-6 AstraProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Moonshot AI

Kimi K3

Açık Ağırlıklı Akıl Yürütme

Moonshot AI tarafından geliştirilen Kimi K3; yüksek verimli açık ağırlıklı düşünce zinciri (Chain-of-Thought) akıl yürütme için tasarlanmış olup 1.0M bağlam penceresi, 58 token/sn hız, 93/100 zeka indeksi ve ücretsiz açık ağırlık erişimi su

Intelligence Index93 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

74.5%

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

Kimi K3 is 1.0x cheaper for API usage (input + output tokens combined).
Kimi K3 has a larger context window (1M vs 272K tokens).
GPT-6 Astra is faster at 100 tok/s vs 58 tok/s.
GPT-6 Astra leads on SWE-bench coding (82.4% vs 74.5%).

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

Feature	Kimi K3	GPT-6 Astra
Intelligence Index Composite reasoning & knowledge score (0-100)	93	96
Provider	Moonshot AI	OpenAI
Input Price Cost per million input tokens	$0.00 / 1M	$10.00 / 1M
Output Price Cost per million output tokens	$0.00 / 1M	$50.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.00 / 1M	$7.70 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,573 A4 pages of text	272K tokens~408 A4 pages of text
Max Output Tokens Per single request	131K	128K
Throughput Speed Tokens generated per second	58 tok/s	100 tok/s
SWE-bench Verified Real-world software engineering	74.5%	82.4%
GPQA Diamond Graduate-level reasoning	79%	80.9%
Cached Input Price Prompt caching discount per 1M tokens	$0.00 / 1M	$1.00 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

GPT-6 Astra

+7.9% SWE-bench lead

Cost

Kimi K3

1.0x cheaper monthly runtime

Speed

GPT-6 Astra

+72% faster generation

Context

Kimi K3

1.05M tokens window

Doğrulanmış Benchmark Puanları

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

Kimi K3GPT-6 Astra

SWE-bench Verified (Autonomous Coding)

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

74.5%vs82.4%

GPQA Diamond (Doctorate-Level Science & Math)

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

79%vs80.9%

MMLU-Pro (Multi-task Language Understanding)

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

88.8%vs89.9%

LMSYS Chatbot Arena Elo

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

1480ptsvs1520pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs18.2%

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs63.8%

SciCode (Scientific Computing)

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

N/Avs54.9%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs79.8%

AIME (Advanced Math Competition)

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

N/Avs93.6%

Long-Context Reasoning

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

N/Avs91.2%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

58 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

Kimi K30.72s

GPT-6 Astra0.95s

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

Kimi K39.34s

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)

Kimi K3 Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

GPT-6 Astra Monthly API Bill

$61.50 / month

$10/1M in · $50/1M out

Kimi K3 saves approximately $61.50 / month (100%) under this workload.1.0x Savings

Kimi K3 · Strengths & Key Advantages

1.0M bağlam penceresi ve yanıt başına maksimum 131K çıktı tokenı kapasitesi (SWE-bench Verified 74.5% · GPQA Diamond 79%)
Sadece 720 ms ilk token gecikmesi (TTFT) ile saniyede 58 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (2.8T total (MoE))

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	Kimi K3	GPT-6 Astra
Cost per Task Estimated USD to finish one task	$2.00	$2.15
Output Tokens / Task Tokens generated per task	35K	58K
Reasoning Tokens / Task Thinking tokens burned per task	18K	32K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Kimi K3	GPT-6 Astra
Official API Model ID (SDK)	kimi-k3	gpt-6-astra
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI Responses API & Chat Completions v1
Release Date	2026-07	2026-09
Knowledge Cutoff	March 2026	June 2026
Architecture	Colossus-Scale Multimodal Sparse Mixture-of-Experts	Omni-Adaptive Autoregressive with Dynamic CoT
Parameters	2.8T total (MoE)	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)	Free across full context window (only KV-cache VRAM scales)	Flat rate ($10/1M in) across full 272K window
Prompt Cache Policy & TTL	Automatic prefix KV-caching in vLLM / SGLang (0 cost)	Automatic prefix caching at $1/1M (no extra cache-write fee)
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	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) · 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 VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 1736 GB VRAM (4-bit Quantized) · 6020 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, vision	text, vision, audio
Output Modalities	text	text, audio

Kimi K3 vs GPT-6 Astra: Hızlı Yanıtlar (SSS)

Which is more intelligent, Kimi K3 or GPT-6 Astra?

GPT-6 Astra is more intelligent. It scores 96 compared with 93 on the composite Intelligence Index.

Which model is faster?

GPT-6 Astra is faster, generating 100 tokens per second compared with 58 tokens per second.

Which model is cheaper to run?

Kimi K3 is cheaper at $0.00 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Kimi K3 has lower latency, with a time to first token of 0.72s compared with 0.95s.

Which model has a larger context window?

Kimi K3 has a larger context window, supporting 1.05M tokens compared with 272K tokens.

Sonuç

Hem Kimi K3 (yüksek verimli açık ağırlıklı düşünce zinciri (Chain-of-Thought) akıl yürütme, 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; Kimi K3 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Kimi K3 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.

Kimi K3 ve GPT-6 Astra API fiyatları nasıl karşılaştırılır?+

Kimi K3 1M giriş/çıkış tokeni başına $0.00 / $0.00 ücretlendirilirken, GPT-6 Astra $10.00 / $50.00 seviyesindedir. Karma maliyette Kimi K3 daha avantajlıdır.

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

Kimi K3 1.05M 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)

Kimi K3 vs GPT-6 Astra

İstediğiniz Modelleri Seçin ve Karşılaştırın

Kimi K3

GPT-6 Astra

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Kimi K3 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-6 Astra · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Kimi K3 vs GPT-6 Astra: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

Related reading