Qwen-VL Plus vs Claude 3 Opus
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Qwen-VL Plus dari Alibaba dan Claude 3 Opus dari Anthropic adalah dua model AI unggulan. Qwen-VL Plus menawarkan jendela konteks 131.1K token dengan harga $0.21/$0.63 per 1 juta token, sedangkan Claude 3 Opus menyediakan konteks 200K token seharga $15.00/$75.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Qwen-VL Plus
AI Multimodal AsliQwen-VL Plus dari Alibaba adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 131K, kecepatan 105 token/detik, indeks kecerdasan 71/100, serta tarif $0
$0.21 / 1M
$0.63 / 1M
131.1K tokens
N/A
Claude 3 Opus
Model Generasi KlasikClaude 3 Opus dari Anthropic adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 200K, kecepatan 30 token/detik, indeks kecerdasan 44/100, serta tarif $15/$
$15.00 / 1M
$75.00 / 1M
200K tokens
32.2%
Perbedaan Utama Sekilas
- Qwen-VL Plus is 101.0x cheaper for API usage (input + output tokens combined).
- Claude 3 Opus has a larger context window (200K vs 131K tokens).
- Qwen-VL Plus is faster at 105 tok/s vs 30 tok/s.
| Feature | Qwen-VL Plus | Claude 3 Opus |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 71 | 44 |
Provider | Alibaba | Anthropic |
Input Price Cost per million input tokens | $0.21 / 1M | $15.00 / 1M |
Output Price Cost per million output tokens | $0.63 / 1M | $75.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.12 / 1M | $11.55 / 1M |
Context Window Maximum input + output tokens | 131.1K tokens~197 A4 pages of text | 200K tokens~300 A4 pages of text |
Max Output Tokens Per single request | 8K | 4K |
Throughput Speed Tokens generated per second | 105 tok/s | 30 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 32.2% |
GPQA Diamond Graduate-level reasoning | N/A | 50.4% |
Cached Input Price Prompt caching discount per 1M tokens | $0.02 / 1M | $1.50 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkEvaluations ongoing
Skor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
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.
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.
Qwen-VL Plus · Strengths & Key Advantages
- Jendela konteks 131K dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 70.5% · Arena Elo 1240)
- Kecepatan generasi tinggi 105 token/detik dengan latensi token pertama (TTFT) hanya 480 ms
- Skema harga API kompetitif (tarif $0.21/$0.63 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
Claude 3 Opus · Strengths & Key Advantages
- Jendela konteks 200K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 32.2% · GPQA Diamond 50.4%)
- Kecepatan generasi tinggi 30 token/detik dengan latensi token pertama (TTFT) hanya 1200 ms
- Skema harga API kompetitif (tarif $15/$75 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.
| Metric | Qwen-VL Plus | Claude 3 Opus |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.05 | $0.20 |
Output Tokens / Task Tokens generated per task | 14K | 24K |
Reasoning Tokens / Task Thinking tokens burned per task | 2K | 0K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Qwen-VL Plus | Claude 3 Opus |
|---|---|---|
| Official API Model ID (SDK) | qwen-vl-plus-instruct | claude-3-opus-20240301 |
| API Protocol | Alibaba REST API (OpenAI-Compatible) | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2024-01 | 2024-03 |
| Knowledge Cutoff | December 2023 | August 2023 |
| Architecture | Efficient Multimodal Vision-Language Transformer | Frontier Dense Multimodal Transformer |
| Parameters | Confidential | 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) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.21/1M in) across full 131K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Cached input at $0.021/1M tokens | $1.5/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| 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 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) · Vision (~258–765 tokens per image tile) | 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 | Alibaba 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, vision | text, vision |
| Output Modalities | text | text |
Qwen-VL Plus vs Claude 3 Opus: Jawaban Cepat (FAQ)
Which is more intelligent, Qwen-VL Plus or Claude 3 Opus?
Qwen-VL Plus is more intelligent. It scores 71 compared with 44 on the composite Intelligence Index.
Which model is faster?
Qwen-VL Plus is faster, generating 105 tokens per second compared with 30 tokens per second.
Which model is cheaper to run?
Qwen-VL Plus is cheaper at $0.12 per 1M tokens blended, compared with $11.55 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Qwen-VL Plus has lower latency, with a time to first token of 0.48s compared with 1.20s.
Which model has a larger context window?
Claude 3 Opus has a larger context window, supporting 200K tokens compared with 131.1K tokens.
Kesimpulan
Baik Qwen-VL Plus (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude 3 Opus (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Qwen-VL Plus unggul dalam penalaran dan pemrograman, Qwen-VL Plus memberikan kecepatan generasi token lebih tinggi, dan Qwen-VL Plus lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Qwen-VL Plus atau Claude 3 Opus?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Qwen-VL Plus memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Qwen-VL Plus vs Claude 3 Opus?+
Qwen-VL Plus mengenakan biaya $0.21 / $0.63 per 1M token input/output, sedangkan Claude 3 Opus sebesar $15.00 / $75.00. Secara keseluruhan, Qwen-VL Plus lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Qwen-VL Plus mendukung konteks 131.1K token dibandingkan 200K token pada Claude 3 Opus, sementara Qwen-VL Plus 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 Alibaba & Anthropic serta evaluasi benchmark independen (2026).