GetInfoUs
Head-to-Head Model Comparison

Kimi K2 Thinking Turbo vs Qwen3-VL Plus

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
Condividi
Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Kimi K2 Thinking Turbo vs Qwen3-VL Plus: Benchmarks, Pricing & Speed Comparison

Kimi K2 Thinking Turbo di Moonshot AI e Qwen3-VL Plus di Alibaba sono due modelli di IA di riferimento. Kimi K2 Thinking Turbo offre una finestra di contesto di 262.1K token a $0.60/$2.40 per milione di token, mentre Qwen3-VL Plus mette a disposizione 262.1K token di contesto a $0.50/$2.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

Cambia e Confronta Qualsiasi Modello

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

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench
Popular Matchups:
Moonshot AI

Kimi K2 Thinking Turbo

Motore di Ragionamento Profondo

Kimi K2 Thinking Turbo di Moonshot AI è un modello di IA progettato per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, con finestra di contesto da 262K, velocità di 90 token/s, indice di intelligenza di 84/

Intelligence Index84 / 100
Input Token:

$0.60 / 1M

Output Token:

$2.40 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Alibaba

Qwen3-VL Plus

IA Multimodale Nativa

Qwen3-VL Plus di Alibaba è un modello di IA progettato per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, con finestra di contesto da 262K, velocità di 80 token/s, indice di intelligenza di 82/100 e

Intelligence Index82 / 100
Input Token:

$0.50 / 1M

Output Token:

$2.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

  • Qwen3-VL Plus is 1.2x cheaper for API usage (input + output tokens combined).
  • Kimi K2 Thinking Turbo is faster at 90 tok/s vs 80 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureKimi K2 Thinking TurboQwen3-VL Plus
Intelligence Index
Composite reasoning & knowledge score (0-100)
8482
Provider
Moonshot AIAlibaba
Input Price
Cost per million input tokens
$0.60 / 1M$0.50 / 1M
Output Price
Cost per million output tokens
$2.40 / 1M$2.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.40 / 1M$0.34 / 1M
Context Window
Maximum input + output tokens
262.1K tokens~393 A4 pages of text262.1K tokens~393 A4 pages of text
Max Output Tokens
Per single request
16K16K
Throughput Speed
Tokens generated per second
90 tok/s80 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
GPQA Diamond
Graduate-level reasoning
68.5%64%
Cached Input Price
Prompt caching discount per 1M tokens
$0.06 / 1M$0.05 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Qwen3-VL Plus
1.2x cheaper monthly runtime
Speed
Kimi K2 Thinking Turbo
+13% faster generation
Context
Tied
262.1K tokens window

Punteggi Benchmark Verificati

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

Kimi K2 Thinking TurboQwen3-VL Plus
GPQA Diamond (Doctorate-Level Science & Math)

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

68.5%vs64%
MMLU-Pro (Multi-task Language Understanding)

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

81.5%vs81%
LMSYS Chatbot Arena Elo

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

1365ptsvs1345pts
AIME (Advanced Math Competition)

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

81%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

90 tok/s vs80 tok/s

Latenza e Tempo di Risposta

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 K2 Thinking Turbo0.52s
Qwen3-VL Plus0.56s
Est. End-to-End Response (500 tokens)TTFT + generation time
Kimi K2 Thinking Turbo6.08s
Qwen3-VL Plus6.81s

Simulatore Interattivo dei Costi Token

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)
Kimi K2 Thinking Turbo Monthly API Bill
$3.15 / month
$0.6/1M in · $2.4/1M out
Qwen3-VL Plus Monthly API Bill
$2.63 / month
$0.5/1M in · $2/1M out
Qwen3-VL Plus saves approximately $0.52 / month (17%) under this workload.1.2x Savings

Kimi K2 Thinking Turbo · Strengths & Key Advantages

  • Finestra di contesto da 262K con capacità massima di output fino a 16K token (GPQA Diamond 68.5% · MMLU-Pro 81.5%)
  • Throughput elevato di 90 token/secondo con latenza al primo token (TTFT) di soli 520 ms
  • Economia API competitiva ($0.6/$2.4 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Qwen3-VL Plus · Strengths & Key Advantages

  • Finestra di contesto da 262K con capacità massima di output fino a 16K token (GPQA Diamond 64% · MMLU-Pro 81%)
  • Throughput elevato di 80 token/secondo con latenza al primo token (TTFT) di soli 560 ms
  • Economia API competitiva ($0.5/$2 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Token Use & Task Economics

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

MetricKimi K2 Thinking TurboQwen3-VL Plus
Cost per Task
Estimated USD to finish one task
$0.18$0.16
Output Tokens / Task
Tokens generated per task
22K20K
Reasoning Tokens / Task
Thinking tokens burned per task
10K6K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureKimi K2 Thinking TurboQwen3-VL Plus
Official API Model ID (SDK)kimi-k2-thinking-turboqwen3-vl-plus-instruct
API ProtocolMoonshot AI REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2025-112025-09
Knowledge CutoffSeptember 2025July 2025
ArchitectureHosted Accelerated Reasoning EngineMultimodal Vision-Language Frontier Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.6/1M in) across full 262K windowFlat rate ($0.5/1M in) across full 262K window
Prompt Cache Policy & TTLCached input at $0.06/1M tokensCached input at $0.05/1M tokens
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 toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token)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 ClassificationMoonshot AI Production Safety & Alignment VerifiedAlibaba 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 Modalitiestexttext, vision
Output Modalitiestexttext

Kimi K2 Thinking Turbo vs Qwen3-VL Plus: Risposte Rapide (FAQ)

Which is more intelligent, Kimi K2 Thinking Turbo or Qwen3-VL Plus?

Kimi K2 Thinking Turbo is more intelligent. It scores 84 compared with 82 on the composite Intelligence Index.

Which model is faster?

Kimi K2 Thinking Turbo is faster, generating 90 tokens per second compared with 80 tokens per second.

Which model is cheaper to run?

Qwen3-VL Plus is cheaper at $0.34 per 1M tokens blended, compared with $0.40 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Kimi K2 Thinking Turbo has lower latency, with a time to first token of 0.52s compared with 0.56s.

Verdetto

Sia Kimi K2 Thinking Turbo (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) sia Qwen3-VL Plus (Ideale per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Kimi K2 Thinking Turbo guida nei benchmark di ragionamento e programmazione, Kimi K2 Thinking Turbo garantisce una generazione più rapida e Qwen3-VL Plus offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Kimi K2 Thinking Turbo o Qwen3-VL Plus?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Kimi K2 Thinking Turbo. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Kimi K2 Thinking Turbo e Qwen3-VL Plus?+

Kimi K2 Thinking Turbo costa $0.60 / $2.40 per milione di token di input/output, mentre Qwen3-VL Plus costa $0.50 / $2.00. Nel costo combinato, Qwen3-VL Plus risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Kimi K2 Thinking Turbo supporta 262.1K token di contesto contro 262.1K token di Qwen3-VL Plus, mentre Kimi K2 Thinking Turbo offre una velocità di generazione superiore.

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.

Fonti ufficiali: Documentazione API ufficiale di Moonshot AI e Alibaba, schede di sistema e benchmark indipendenti (2026).