Head-to-Head Model Comparison

Qwen-VL Max vs Reka Core

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

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Qwen-VL MaxProfile

Reka CoreProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen-VL Max

AI Multimodal Asli

Qwen-VL Max dari Alibaba adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 131K, kecepatan 75 token/detik, indeks kecerdasan 76/100, serta tarif $0.7

Intelligence Index76 / 100

Input Token:

$0.70 / 1M

Output Token:

$2.80 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Reka

Reka Core

AI Multimodal Asli

Reka Core dari Reka adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 128K, kecepatan 75 token/detik, indeks kecerdasan 77/100, serta tarif $3/$15 pe

Intelligence Index77 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

Qwen-VL Max is 5.0x cheaper for API usage (input + output tokens combined).
Qwen-VL Max has a larger context window (131K vs 128K tokens).
Reka Core is faster at 75 tok/s vs 75 tok/s.

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

Feature	Qwen-VL Max	Reka Core
Intelligence Index Composite reasoning & knowledge score (0-100)	76	77
Provider	Alibaba	Reka
Input Price Cost per million input tokens	$0.70 / 1M	$3.00 / 1M
Output Price Cost per million output tokens	$2.80 / 1M	$15.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.47 / 1M	$2.31 / 1M
Context Window Maximum input + output tokens	131.1K tokens~197 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	8K	8K
Throughput Speed Tokens generated per second	75 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
GPQA Diamond Graduate-level reasoning	46.5%	N/A
Cached Input Price Prompt caching discount per 1M tokens	$0.07 / 1M	$0.30 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Qwen-VL Max

5.0x cheaper monthly runtime

Speed

Reka Core

+0% faster generation

Context

Qwen-VL Max

131.1K tokens window

Skor Benchmark Terverifikasi

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

Qwen-VL MaxReka Core

GPQA Diamond (Doctorate-Level Science & Math)

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

46.5%vsN/A

MMLU-Pro (Multi-task Language Understanding)

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

76%vs75%

LMSYS Chatbot Arena Elo

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

1275ptsvs1270pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs75 tok/s

Latensi & Waktu Respons

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

Qwen-VL Max0.65s

Reka Core0.58s

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

Qwen-VL Max7.32s

Reka Core7.25s

Simulator Biaya Token Interaktif

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)

Qwen-VL Max Monthly API Bill

$3.67 / month

$0.7/1M in · $2.8/1M out

Reka Core Monthly API Bill

$18.45 / month

$3/1M in · $15/1M out

Qwen-VL Max saves approximately $14.77 / month (80%) under this workload.5.0x Savings

Qwen-VL Max · Strengths & Key Advantages

Jendela konteks 131K dengan kapasitas output maksimum hingga 8K token (GPQA Diamond 46.5% · MMLU-Pro 76%)
Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 650 ms
Skema harga API kompetitif (tarif $0.7/$2.8 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

Reka Core · Strengths & Key Advantages

Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 75% · Arena Elo 1270)
Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 580 ms
Skema harga API kompetitif (tarif $3/$15 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 Max	Reka Core
Cost per Task Estimated USD to finish one task	$0.15	$0.22
Output Tokens / Task Tokens generated per task	16K	15K
Reasoning Tokens / Task Thinking tokens burned per task	5K	3K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen-VL Max	Reka Core
Official API Model ID (SDK)	qwen-vl-max-instruct	reka-core
API Protocol	Alibaba REST API (OpenAI-Compatible)	Reka REST API (OpenAI-Compatible)
Release Date	2024-04	2024-04
Knowledge Cutoff	December 2023	December 2023
Architecture	Multimodal Vision-Language Transformer	Multimodal Foundation Omnimodal 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 ($0.7/1M in) across full 131K window	Flat rate ($3/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.07/1M tokens	Cached input at $0.3/1M tokens
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	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) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
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	Reka 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, vision	text, vision, audio, video
Output Modalities	text	text

Qwen-VL Max vs Reka Core: Jawaban Cepat (FAQ)

Which is more intelligent, Qwen-VL Max or Reka Core?

Reka Core is more intelligent. It scores 77 compared with 76 on the composite Intelligence Index.

Which model is cheaper to run?

Qwen-VL Max is cheaper at $0.47 per 1M tokens blended, compared with $2.31 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Reka Core has lower latency, with a time to first token of 0.58s compared with 0.65s.

Which model has a larger context window?

Qwen-VL Max has a larger context window, supporting 131.1K tokens compared with 128K tokens.

Kesimpulan

Baik Qwen-VL Max (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Reka Core (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Reka Core unggul dalam penalaran dan pemrograman, Qwen-VL Max memberikan kecepatan generasi token lebih tinggi, dan Qwen-VL Max lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Qwen-VL Max atau Reka Core?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Reka Core memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Qwen-VL Max vs Reka Core?+

Qwen-VL Max mengenakan biaya $0.70 / $2.80 per 1M token input/output, sedangkan Reka Core sebesar $3.00 / $15.00. Secara keseluruhan, Qwen-VL Max lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Qwen-VL Max mendukung konteks 131.1K token dibandingkan 128K token pada Reka Core, sementara Qwen-VL Max unggul dalam kecepatan output token per detik.

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)

Qwen-VL Max vs Reka Core

Ganti & Bandingkan Model Apa Saja

Qwen-VL Max

Reka Core

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Qwen-VL Max · Strengths & Key Advantages

Considerations & Trade-offs

Reka Core · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Qwen-VL Max vs Reka Core: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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