Head-to-Head Model Comparison

Qwen 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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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Qwen Max vs Reka Core: Benchmarks, Pricing & Speed Comparison

Qwen Max dari Alibaba dan Reka Core dari Reka adalah dua model AI unggulan. Qwen Max menawarkan jendela konteks 32.8K token dengan harga $1.60/$6.40 per 1 juta token, sedangkan Reka Core menyediakan konteks 128K token seharga $3.00/$15.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Alibaba

Qwen Max

Model Generasi Klasik

Qwen Max dari Alibaba adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 33K, kecepatan 65 token/detik, indeks kecerdasan 78/100, serta tarif $1.6/$6.4 per

Intelligence Index78 / 100
Input Token:

$1.60 / 1M

Output Token:

$6.40 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

32.5%

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 Max is 2.2x cheaper for API usage (input + output tokens combined).
  • Reka Core has a larger context window (128K vs 33K tokens).
  • Reka Core is faster at 75 tok/s vs 65 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureQwen MaxReka Core
Intelligence Index
Composite reasoning & knowledge score (0-100)
7877
Provider
AlibabaReka
Input Price
Cost per million input tokens
$1.60 / 1M$3.00 / 1M
Output Price
Cost per million output tokens
$6.40 / 1M$15.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$1.07 / 1M$2.31 / 1M
Context Window
Maximum input + output tokens
32.8K tokens~49 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
8K8K
Throughput Speed
Tokens generated per second
65 tok/s75 tok/s
SWE-bench Verified
Real-world software engineering
32.5%N/A
GPQA Diamond
Graduate-level reasoning
48%N/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.16 / 1M$0.30 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Qwen Max
2.2x cheaper monthly runtime
Speed
Reka Core
+15% faster generation
Context
Reka Core
128K tokens window

Skor Benchmark Terverifikasi

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

Qwen MaxReka Core
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

32.5%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

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

48%vsN/A
MMLU-Pro (Multi-task Language Understanding)

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

78.2%vs75%
LMSYS Chatbot Arena Elo

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

1285ptsvs1270pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

65 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 Max0.58s
Reka Core0.58s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen Max8.27s
Reka Core7.25s

Simulator Biaya Token Interaktif

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)
Qwen Max Monthly API Bill
$8.40 / month
$1.6/1M in · $6.4/1M out
Reka Core Monthly API Bill
$18.45 / month
$3/1M in · $15/1M out
Qwen Max saves approximately $10.05 / month (54%) under this workload.2.2x Savings

Qwen Max · Strengths & Key Advantages

  • Jendela konteks 33K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 32.5% · GPQA Diamond 48%)
  • Kecepatan generasi tinggi 65 token/detik dengan latensi token pertama (TTFT) hanya 580 ms
  • Skema harga API kompetitif (tarif $1.6/$6.4 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

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.

MetricQwen MaxReka Core
Cost per Task
Estimated USD to finish one task
$0.18$0.22
Output Tokens / Task
Tokens generated per task
18K15K
Reasoning Tokens / Task
Thinking tokens burned per task
6K3K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureQwen MaxReka Core
Official API Model ID (SDK)qwen-max-instructreka-core
API ProtocolAlibaba REST API (OpenAI-Compatible)Reka REST API (OpenAI-Compatible)
Release Date2024-042024-04
Knowledge CutoffSeptember 2023December 2023
ArchitectureDense Autoregressive Transformer with Multi-Head AttentionMultimodal Foundation Omnimodal 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 ($1.6/1M in) across full 33K windowFlat rate ($3/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.16/1M tokensCached input at $0.3/1M tokens
Computer Use / GUI AgentAPI / 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 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) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
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 ClassificationAlibaba Production Safety & Alignment VerifiedReka 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, audio, video
Output Modalitiestexttext

Qwen Max vs Reka Core: Jawaban Cepat (FAQ)

Which is more intelligent, Qwen Max or Reka Core?

Qwen Max is more intelligent. It scores 78 compared with 77 on the composite Intelligence Index.

Which model is faster?

Reka Core is faster, generating 75 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Qwen Max is cheaper at $1.07 per 1M tokens blended, compared with $2.31 (7:2:1 cache:input:output ratio).

Which model has a larger context window?

Reka Core has a larger context window, supporting 128K tokens compared with 32.8K tokens.

Kesimpulan

Baik Qwen Max (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, 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: Qwen Max unggul dalam penalaran dan pemrograman, Reka Core memberikan kecepatan generasi token lebih tinggi, dan Qwen Max lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

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

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

Berapa perbandingan harga API Qwen Max vs Reka Core?+

Qwen Max mengenakan biaya $1.60 / $6.40 per 1M token input/output, sedangkan Reka Core sebesar $3.00 / $15.00. Secara keseluruhan, Qwen Max lebih hemat biaya.

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

Qwen Max mendukung konteks 32.8K token dibandingkan 128K token pada Reka Core, sementara Reka Core 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.

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 & Reka serta evaluasi benchmark independen (2026).