Qwen Flash vs Qwen Turbo
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Qwen Flash dari Alibaba dan Qwen Turbo dari Alibaba adalah dua model AI unggulan. Qwen Flash menawarkan jendela konteks 1M token dengan harga $0.02/$0.08 per 1 juta token, sedangkan Qwen Turbo menyediakan konteks 1M token seharga $0.05/$0.20 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Qwen Flash
Inferensi Super CepatQwen Flash dari Alibaba adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 1M, kecepatan 180 token/detik, indeks kecerdasan 67/100, serta tarif $0
$0.02 / 1M
$0.08 / 1M
1M tokens
N/A
Qwen Turbo
Inferensi Super CepatQwen Turbo dari Alibaba adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 1M, kecepatan 160 token/detik, indeks kecerdasan 68/100, serta tarif $0
$0.05 / 1M
$0.20 / 1M
1M tokens
N/A
Perbedaan Utama Sekilas
- Qwen Flash is 2.5x cheaper for API usage (input + output tokens combined).
- Qwen Flash is faster at 180 tok/s vs 160 tok/s.
| Feature | Qwen Flash | Qwen Turbo |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 67 | 68 |
Provider | Alibaba | Alibaba |
Input Price Cost per million input tokens | $0.02 / 1M | $0.05 / 1M |
Output Price Cost per million output tokens | $0.08 / 1M | $0.20 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.01 / 1M | $0.03 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 8K | 8K |
Throughput Speed Tokens generated per second | 180 tok/s | 160 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
Cached Input Price Prompt caching discount per 1M tokens | $0.00 / 1M | $0.01 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkEvaluations ongoing
Skor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
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 Flash · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 63.5% · Arena Elo 1195)
- Kecepatan generasi tinggi 180 token/detik dengan latensi token pertama (TTFT) hanya 250 ms
- Skema harga API kompetitif (tarif $0.02/$0.08 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
Qwen Turbo · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 65% · Arena Elo 1210)
- Kecepatan generasi tinggi 160 token/detik dengan latensi token pertama (TTFT) hanya 290 ms
- Skema harga API kompetitif (tarif $0.05/$0.2 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 | Qwen Flash | Qwen Turbo |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.01 | $0.01 |
Output Tokens / Task Tokens generated per task | 10K | 12K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Qwen Flash | Qwen Turbo |
|---|---|---|
| Official API Model ID (SDK) | qwen-flash-instruct | qwen-turbo-instruct |
| API Protocol | Alibaba REST API (OpenAI-Compatible) | Alibaba REST API (OpenAI-Compatible) |
| Release Date | 2025-07 | 2024-11 |
| Knowledge Cutoff | May 2025 | September 2024 |
| Architecture | Ultra-Lightweight Distilled Autoregressive Transformer | Distilled High-Throughput Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.02/1M in) across full 1000K window | Flat rate ($0.05/1M in) across full 1000K window |
| Prompt Cache Policy & TTL | Cached input at $0.002/1M tokens | Cached input at $0.005/1M tokens |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| 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) |
| 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 | 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 |
| Output Modalities | text | text |
Qwen Flash vs Qwen Turbo: Jawaban Cepat (FAQ)
Which is more intelligent, Qwen Flash or Qwen Turbo?
Qwen Turbo is more intelligent. It scores 68 compared with 67 on the composite Intelligence Index.
Which model is faster?
Qwen Flash is faster, generating 180 tokens per second compared with 160 tokens per second.
Which model is cheaper to run?
Qwen Flash is cheaper at $0.01 per 1M tokens blended, compared with $0.03 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Qwen Flash has lower latency, with a time to first token of 0.25s compared with 0.29s.
Kesimpulan
Baik Qwen Flash (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Qwen Turbo (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Qwen Turbo unggul dalam penalaran dan pemrograman, Qwen Flash memberikan kecepatan generasi token lebih tinggi, dan Qwen Flash lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Qwen Flash atau Qwen Turbo?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Qwen Turbo memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Qwen Flash vs Qwen Turbo?+
Qwen Flash mengenakan biaya $0.02 / $0.08 per 1M token input/output, sedangkan Qwen Turbo sebesar $0.05 / $0.20. Secara keseluruhan, Qwen Flash lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Qwen Flash mendukung konteks 1M token dibandingkan 1M token pada Qwen Turbo, sementara Qwen Flash 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 & Alibaba serta evaluasi benchmark independen (2026).