Kimi K2 Thinking Turbo vs Qwen3-VL Plus
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Kimi K2 Thinking Turbo dari Moonshot AI dan Qwen3-VL Plus dari Alibaba adalah dua model AI unggulan. Kimi K2 Thinking Turbo menawarkan jendela konteks 262.1K token dengan harga $0.60/$2.40 per 1 juta token, sedangkan Qwen3-VL Plus menyediakan konteks 262.1K token seharga $0.50/$2.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Kimi K2 Thinking Turbo
Mesin Penalaran MendalamKimi K2 Thinking Turbo dari Moonshot AI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 262K, kecepatan 90 token/detik, indeks kecerdasan 84/100, se
$0.60 / 1M
$2.40 / 1M
262.1K tokens
N/A
Qwen3-VL Plus
AI Multimodal AsliQwen3-VL Plus dari Alibaba adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 262K, kecepatan 80 token/detik, indeks kecerdasan 82/100, serta tarif $0
$0.50 / 1M
$2.00 / 1M
262.1K tokens
N/A
Perbedaan Utama Sekilas
- 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.
| Feature | Kimi K2 Thinking Turbo | Qwen3-VL Plus |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 84 | 82 |
Provider | Moonshot AI | Alibaba |
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 text | 262.1K tokens~393 A4 pages of text |
Max Output Tokens Per single request | 16K | 16K |
Throughput Speed Tokens generated per second | 90 tok/s | 80 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
GPQA Diamond Graduate-level reasoning | 68.5% | 64% |
Cached Input Price Prompt caching discount per 1M tokens | $0.06 / 1M | $0.05 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkEvaluations ongoing
Skor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Tokens emitted per second during active generation streaming.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Kimi K2 Thinking Turbo · Strengths & Key Advantages
- Jendela konteks 262K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 68.5% · MMLU-Pro 81.5%)
- Kecepatan generasi tinggi 90 token/detik dengan latensi token pertama (TTFT) hanya 520 ms
- Skema harga API kompetitif (tarif $0.6/$2.4 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
Qwen3-VL Plus · Strengths & Key Advantages
- Jendela konteks 262K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 64% · MMLU-Pro 81%)
- Kecepatan generasi tinggi 80 token/detik dengan latensi token pertama (TTFT) hanya 560 ms
- Skema harga API kompetitif (tarif $0.5/$2 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
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Kimi K2 Thinking Turbo | Qwen3-VL Plus |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.18 | $0.16 |
Output Tokens / Task Tokens generated per task | 22K | 20K |
Reasoning Tokens / Task Thinking tokens burned per task | 10K | 6K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Kimi K2 Thinking Turbo | Qwen3-VL Plus |
|---|---|---|
| Official API Model ID (SDK) | kimi-k2-thinking-turbo | qwen3-vl-plus-instruct |
| API Protocol | Moonshot AI REST API (OpenAI-Compatible) | Alibaba REST API (OpenAI-Compatible) |
| Release Date | 2025-11 | 2025-09 |
| Knowledge Cutoff | September 2025 | July 2025 |
| Architecture | Hosted Accelerated Reasoning Engine | Multimodal Vision-Language Frontier Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM | 5,000 – 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 window | Flat rate ($0.5/1M in) across full 262K window |
| Prompt Cache Policy & TTL | Cached input at $0.06/1M tokens | Cached input at $0.05/1M tokens |
| 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 | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | API Prompt Engineering & RAG 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 | Moonshot AI Production Safety & Alignment Verified | Alibaba Production Safety & Alignment Verified |
| 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 |
Kimi K2 Thinking Turbo vs Qwen3-VL Plus: Jawaban Cepat (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.
Kesimpulan
Baik Kimi K2 Thinking Turbo (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Qwen3-VL Plus (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Kimi K2 Thinking Turbo unggul dalam penalaran dan pemrograman, Kimi K2 Thinking Turbo memberikan kecepatan generasi token lebih tinggi, dan Qwen3-VL Plus lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Kimi K2 Thinking Turbo atau Qwen3-VL Plus?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Kimi K2 Thinking Turbo memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Kimi K2 Thinking Turbo vs Qwen3-VL Plus?+
Kimi K2 Thinking Turbo mengenakan biaya $0.60 / $2.40 per 1M token input/output, sedangkan Qwen3-VL Plus sebesar $0.50 / $2.00. Secara keseluruhan, Qwen3-VL Plus lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Kimi K2 Thinking Turbo mendukung konteks 262.1K token dibandingkan 262.1K token pada Qwen3-VL Plus, sementara Kimi K2 Thinking Turbo unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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: Dokumentasi API resmi Moonshot AI & Alibaba serta evaluasi benchmark independen (2026).