Head-to-Head Model Comparison

Hunyuan Large V2 vs Claude Opus 4.8

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

Beliebige Modelle wechseln & vergleichen

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

Hunyuan Large V2Profile

Claude Opus 4.8Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Tencent

Hunyuan Large V2

Frontier-Flaggschiff-Modell

Hunyuan Large V2 von Tencent ist ein KI-Modell für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows mit 512K Kontextfenster, 80 Token/s Durchsatz, einem Intelligenz-Index von 85/100 und $0.7/$2.8 pro 1M

Intelligence Index85 / 100

Input Token:

$0.70 / 1M

Output Token:

$2.80 / 1M

Context Window:

512K tokens

SWE-bench Verified:

N/A

Anthropic

Claude Opus 4.8

Frontier-Flaggschiff-Modell

Claude Opus 4.8 von Anthropic ist ein KI-Modell für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows mit 1M Kontextfenster, 64 Token/s Durchsatz, einem Intelligenz-Index von 67/100 und $5/$25 pro 1M Toke

Intelligence Index67 / 100

Input Token:

$5.00 / 1M

Output Token:

$25.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

80.8%

Wichtigste Unterschiede auf einen Blick

Hunyuan Large V2 is 8.4x cheaper for API usage (input + output tokens combined).
Claude Opus 4.8 has a larger context window (1M vs 512K tokens).
Hunyuan Large V2 is faster at 80 tok/s vs 64 tok/s.

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

Feature	Hunyuan Large V2	Claude Opus 4.8
Intelligence Index Composite reasoning & knowledge score (0-100)	85	67
Provider	Tencent	Anthropic
Input Price Cost per million input tokens	$0.70 / 1M	$5.00 / 1M
Output Price Cost per million output tokens	$2.80 / 1M	$25.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.47 / 1M	$3.85 / 1M
Context Window Maximum input + output tokens	512K tokens~768 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	16K	128K
Throughput Speed Tokens generated per second	80 tok/s	64 tok/s
SWE-bench Verified Real-world software engineering	N/A	80.8%
GPQA Diamond Graduate-level reasoning	66%	78.9%
Cached Input Price Prompt caching discount per 1M tokens	$0.07 / 1M	$0.50 / 1M

Wer gewinnt in welcher Disziplin?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Hunyuan Large V2

8.4x cheaper monthly runtime

Speed

Hunyuan Large V2

+25% faster generation

Context

Claude Opus 4.8

1M tokens window

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Hunyuan Large V2Claude Opus 4.8

SWE-bench Verified (Autonomous Coding)

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

N/Avs80.8%

GPQA Diamond (Doctorate-Level Science & Math)

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

66%vs78.9%

MMLU-Pro (Multi-task Language Understanding)

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

82.5%vs89.6%

LMSYS Chatbot Arena Elo

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

1365ptsvs1420pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs54.2%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs64 tok/s

Latenz & Antwortzeit

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 Large V20.48s

Claude Opus 4.81.65s

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

Hunyuan Large V26.73s

Claude Opus 4.89.46s

Interaktiver Token-Kosten-Simulator

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)

Hunyuan Large V2 Monthly API Bill

$3.67 / month

$0.7/1M in · $2.8/1M out

Claude Opus 4.8 Monthly API Bill

$30.75 / month

$5/1M in · $25/1M out

Hunyuan Large V2 saves approximately $27.07 / month (88%) under this workload.8.4x Savings

Hunyuan Large V2 · Strengths & Key Advantages

512K Kontextfenster und bis zu 16K maximale Output-Token (GPQA Diamond 66% · MMLU-Pro 82.5%)
Hohe Generierungsgeschwindigkeit von 80 Token/Sekunde bei nur 480 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.7/$2.8 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Claude Opus 4.8 · Strengths & Key Advantages

1M Kontextfenster und bis zu 128K maximale Output-Token (SWE-bench Verified 80.8% · GPQA Diamond 78.9%)
Hohe Generierungsgeschwindigkeit von 64 Token/Sekunde bei nur 1650 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($5/$25 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei hohem Anfragevolumen empfiehlt sich der Einsatz von Prompt-Caching und Batch-API zur Kostenoptimierung

Token Use & Task Economics

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

Metric	Hunyuan Large V2	Claude Opus 4.8
Cost per Task Estimated USD to finish one task	$0.22	$5.49
Output Tokens / Task Tokens generated per task	22K	72K
Reasoning Tokens / Task Thinking tokens burned per task	7K	37K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

Feature	Hunyuan Large V2	Claude Opus 4.8
Official API Model ID (SDK)	hunyuan-large-v2	claude-opus-4-8-20260501
API Protocol	Tencent REST API (OpenAI-Compatible)	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2026-05	2026-05
Knowledge Cutoff	February 2026	March 2026
Architecture	High-Scale Sparse Mixture-of-Experts Transformer	Frontier Hybrid Cognitive Architecture
Parameters	500B total (30B active MoE)	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.7/1M in) across full 512K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Cached input at $0.07/1M tokens	$0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL
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 Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAM	Cloud-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 Classification	Tencent Production Safety & Alignment Verified	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text	text, vision
Output Modalities	text	text

Hunyuan Large V2 vs Claude Opus 4.8: Schnelle Antworten (FAQ)

Which is more intelligent, Hunyuan Large V2 or Claude Opus 4.8?

Hunyuan Large V2 is more intelligent. It scores 85 compared with 67 on the composite Intelligence Index.

Which model is faster?

Hunyuan Large V2 is faster, generating 80 tokens per second compared with 64 tokens per second.

Which model is cheaper to run?

Hunyuan Large V2 is cheaper at $0.47 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Hunyuan Large V2 has lower latency, with a time to first token of 0.48s compared with 1.65s.

Which model has a larger context window?

Claude Opus 4.8 has a larger context window, supporting 1M tokens compared with 512K tokens.

Fazit

Sowohl Hunyuan Large V2 (Optimal für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Claude Opus 4.8 (Optimal für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Hunyuan Large V2 führt bei komplexem Reasoning und Coding, Hunyuan Large V2 liefert den höheren Token-Durchsatz und Hunyuan Large V2 ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Hunyuan Large V2 oder Claude Opus 4.8?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Hunyuan Large V2 vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Hunyuan Large V2 und Claude Opus 4.8?+

Hunyuan Large V2 kostet $0.70 / $2.80 pro 1M Input-/Output-Tokens, Claude Opus 4.8 liegt bei $5.00 / $25.00. Beim gewichteten Gesamtpreis ist Hunyuan Large V2 günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Hunyuan Large V2 bietet 512K Tokens Kontext gegenüber 1M Tokens bei Claude Opus 4.8. Bei der Generierungsgeschwindigkeit liegt Hunyuan Large V2 vorn.

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)

Hunyuan Large V2 vs Claude Opus 4.8

Beliebige Modelle wechseln & vergleichen

Hunyuan Large V2

Claude Opus 4.8

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Hunyuan Large V2 · Strengths & Key Advantages

Considerations & Trade-offs

Claude Opus 4.8 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Hunyuan Large V2 vs Claude Opus 4.8: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

Related reading