Head-to-Head Model Comparison

Hunyuan TurboS vs GPT-6 Astra

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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TencentOpenAIlightweightflagship

Compare Hunyuan TurboS by Tencent against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.

Perbandingan Langsung (VS)

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Tencent

Hunyuan TurboS

Inferensi Super Cepat

Hunyuan TurboS dari Tencent adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 33K, kecepatan 160 token/detik, indeks kecerdasan 70/100, serta tar

Intelligence Index70 / 100
Input Token:

$0.06 / 1M

Output Token:

$0.24 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

OpenAI

GPT-6 Astra

Model Suara & Audio Asli

GPT-6 Astra dari OpenAI adalah model AI yang dirancang untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, menghadirkan jendela konteks 272K, kecepatan 100 token/detik, indeks kecerdasan 96/100, serta tarif $10/$

Intelligence Index96 / 100
Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

Perbedaan Utama Sekilas

  • Hunyuan TurboS is 195.2x cheaper for API usage (input + output tokens combined).
  • GPT-6 Astra has a larger context window (272K vs 33K tokens).
  • Hunyuan TurboS is faster at 160 tok/s vs 100 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureHunyuan TurboSGPT-6 Astra
Intelligence Index
Composite reasoning & knowledge score (0-100)
7096
Provider
TencentOpenAI
Input Price
Cost per million input tokens
$0.06 / 1M$10.00 / 1M
Output Price
Cost per million output tokens
$0.24 / 1M$50.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.04 / 1M$7.70 / 1M
Context Window
Maximum input + output tokens
32.8K tokens~49 A4 pages of text272K tokens~408 A4 pages of text
Max Output Tokens
Per single request
4K128K
Throughput Speed
Tokens generated per second
160 tok/s100 tok/s
SWE-bench Verified
Real-world software engineering
N/A82.4%
GPQA Diamond
Graduate-level reasoning
N/A80.9%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$1.00 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Hunyuan TurboS
195.2x cheaper monthly runtime
Speed
Hunyuan TurboS
+60% faster generation
Context
GPT-6 Astra
272K tokens window

Skor Benchmark Terverifikasi

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

Hunyuan TurboSGPT-6 Astra
SWE-bench Verified (Autonomous Coding)

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

N/Avs82.4%
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs80.9%
MMLU-Pro (Multi-task Language Understanding)

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

67%vs89.9%
LMSYS Chatbot Arena Elo

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

1225ptsvs1520pts
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.

160 tok/s vs100 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
Hunyuan TurboS0.25s
GPT-6 Astra0.95s
Est. End-to-End Response (500 tokens)TTFT + generation time
Hunyuan TurboS3.38s
GPT-6 Astra5.95s

Simulator Biaya Token Interaktif

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)
Hunyuan TurboS Monthly API Bill
$0.32 / month
$0.06/1M in · $0.24/1M out
GPT-6 Astra Monthly API Bill
$61.50 / month
$10/1M in · $50/1M out
Hunyuan TurboS saves approximately $61.19 / month (99%) under this workload.195.2x Savings

Hunyuan TurboS · Strengths & Key Advantages

  • Jendela konteks 33K dengan kapasitas output maksimum hingga 4K token (MMLU-Pro 67% · Arena Elo 1225)
  • Kecepatan generasi tinggi 160 token/detik dengan latensi token pertama (TTFT) hanya 250 ms
  • Skema harga API kompetitif (tarif $0.06/$0.24 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

GPT-6 Astra · Strengths & Key Advantages

  • Jendela konteks 272K dengan kapasitas output maksimum hingga 128K token (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
  • Kecepatan generasi tinggi 100 token/detik dengan latensi token pertama (TTFT) hanya 950 ms
  • Skema harga API kompetitif (tarif $10/$50 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
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Token Use & Task Economics

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

MetricHunyuan TurboSGPT-6 Astra
Cost per Task
Estimated USD to finish one task
$0.01$2.15
Output Tokens / Task
Tokens generated per task
8K58K
Reasoning Tokens / Task
Thinking tokens burned per task
0K32K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureHunyuan TurboSGPT-6 Astra
Official API Model ID (SDK)hunyuan-turbosgpt-6-astra
API ProtocolTencent REST API (OpenAI-Compatible)OpenAI Responses API & Chat Completions v1
Release Date2025-032026-09
Knowledge CutoffJanuary 2025June 2026
ArchitectureLightweight Fast-Inference 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 ($0.06/1M in) across full 33K windowFlat rate ($10/1M in) across full 272K window
Prompt Cache Policy & TTLCached input at $0.006/1M 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 & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsNative 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)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 ClassificationTencent 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 Modalitiestexttext, vision, audio
Output Modalitiestexttext, audio

Hunyuan TurboS vs GPT-6 Astra: Jawaban Cepat (FAQ)

Which is more intelligent, Hunyuan TurboS or GPT-6 Astra?

GPT-6 Astra is more intelligent. It scores 96 compared with 70 on the composite Intelligence Index.

Which model is faster?

Hunyuan TurboS is faster, generating 160 tokens per second compared with 100 tokens per second.

Which model is cheaper to run?

Hunyuan TurboS is cheaper at $0.04 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Hunyuan TurboS has lower latency, with a time to first token of 0.25s compared with 0.95s.

Which model has a larger context window?

GPT-6 Astra has a larger context window, supporting 272K tokens compared with 32.8K tokens.

Kesimpulan

Choose Hunyuan TurboS for sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem rag perusahaan, dan integrasi api skala produksi., or choose GPT-6 Astra for sangat cocok untuk sintesis suara alami, pemrosesan audio real-time, dan transkripsi ucapan, sistem rag perusahaan, dan integrasi api skala produksi..

Pertanyaan Umum (FAQ)

Which is cheaper: Hunyuan TurboS or GPT-6 Astra?+

Hunyuan TurboS costs $0.06/1M input and $0.24/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.

Which model has a larger context window: Hunyuan TurboS or GPT-6 Astra?+

Hunyuan TurboS supports 33K 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.

Sumber resmi: Tencent & OpenAI Official Documentation