Head-to-Head Model Comparison

ERNIE 4.5 vs ERNIE X1

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
ERNIE 4.5 vs ERNIE X1: Benchmarks, Pricing & Speed Comparison

ERNIE 4.5 dari Baidu dan ERNIE X1 dari Baidu adalah dua model AI unggulan. ERNIE 4.5 menawarkan jendela konteks 128K token dengan harga $0.60/$2.40 per 1 juta token, sedangkan ERNIE X1 menyediakan konteks 128K token seharga $0.40/$1.60 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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ERNIE 4.5

Model Unggulan Garis Depan

ERNIE 4.5 dari Baidu adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 128K, kecepatan 75 token/detik, indeks kecerdasan 81/100, serta tarif $0.6

Intelligence Index81 / 100
Input Token:

$0.60 / 1M

Output Token:

$2.40 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Baidu

ERNIE X1

Mesin Penalaran Mendalam

ERNIE X1 dari Baidu adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 128K, kecepatan 65 token/detik, indeks kecerdasan 82/100, serta tarif $0.4/$1.6

Intelligence Index82 / 100
Input Token:

$0.40 / 1M

Output Token:

$1.60 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • ERNIE X1 is 1.5x cheaper for API usage (input + output tokens combined).
  • ERNIE 4.5 is faster at 75 tok/s vs 65 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureERNIE 4.5ERNIE X1
Intelligence Index
Composite reasoning & knowledge score (0-100)
8182
Provider
BaiduBaidu
Input Price
Cost per million input tokens
$0.60 / 1M$0.40 / 1M
Output Price
Cost per million output tokens
$2.40 / 1M$1.60 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.40 / 1M$0.27 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
8K16K
Throughput Speed
Tokens generated per second
75 tok/s65 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
GPQA Diamond
Graduate-level reasoning
60%65%
Cached Input Price
Prompt caching discount per 1M tokens
$0.06 / 1M$0.04 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
ERNIE X1
1.5x cheaper monthly runtime
Speed
ERNIE 4.5
+15% faster generation
Context
Tied
128K tokens window

Skor Benchmark Terverifikasi

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

ERNIE 4.5ERNIE X1
GPQA Diamond (Doctorate-Level Science & Math)

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

60%vs65%
MMLU-Pro (Multi-task Language Understanding)

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

78.5%vs80%
LMSYS Chatbot Arena Elo

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

1325ptsvs1340pts
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs76%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs65 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
ERNIE 4.50.51s
ERNIE X10.82s
Est. End-to-End Response (500 tokens)TTFT + generation time
ERNIE 4.57.18s
ERNIE X18.51s

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)
ERNIE 4.5 Monthly API Bill
$3.15 / month
$0.6/1M in · $2.4/1M out
ERNIE X1 Monthly API Bill
$2.10 / month
$0.4/1M in · $1.6/1M out
ERNIE X1 saves approximately $1.05 / month (33%) under this workload.1.5x Savings

ERNIE 4.5 · Strengths & Key Advantages

  • Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (GPQA Diamond 60% · MMLU-Pro 78.5%)
  • Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 510 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

ERNIE X1 · Strengths & Key Advantages

  • Jendela konteks 128K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 65% · MMLU-Pro 80%)
  • Kecepatan generasi tinggi 65 token/detik dengan latensi token pertama (TTFT) hanya 820 ms
  • Skema harga API kompetitif (tarif $0.4/$1.6 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.

MetricERNIE 4.5ERNIE X1
Cost per Task
Estimated USD to finish one task
$0.16$0.14
Output Tokens / Task
Tokens generated per task
18K20K
Reasoning Tokens / Task
Thinking tokens burned per task
4K11K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureERNIE 4.5ERNIE X1
Official API Model ID (SDK)ernie-4-5ernie-x1
API ProtocolBaidu REST API (OpenAI-Compatible)Baidu REST API (OpenAI-Compatible)
Release Date2025-032025-03
Knowledge CutoffDecember 2024January 2025
ArchitectureMultimodal Foundation Knowledge TransformerDeep Deliberate Reasoning 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 ($0.6/1M in) across full 128K windowFlat rate ($0.4/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.06/1M tokensCached input at $0.04/1M 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) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)Text BPE (~4 chars/token)
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 ClassificationBaidu Production Safety & Alignment VerifiedBaidu 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 Modalitiestext, vision, audiotext
Output Modalitiestexttext

ERNIE 4.5 vs ERNIE X1: Jawaban Cepat (FAQ)

Which is more intelligent, ERNIE 4.5 or ERNIE X1?

ERNIE X1 is more intelligent. It scores 82 compared with 81 on the composite Intelligence Index.

Which model is faster?

ERNIE 4.5 is faster, generating 75 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

ERNIE X1 is cheaper at $0.27 per 1M tokens blended, compared with $0.40 (7:2:1 cache:input:output ratio).

Which model has lower latency?

ERNIE 4.5 has lower latency, with a time to first token of 0.51s compared with 0.82s.

Kesimpulan

Baik ERNIE 4.5 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun ERNIE X1 (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: ERNIE X1 unggul dalam penalaran dan pemrograman, ERNIE 4.5 memberikan kecepatan generasi token lebih tinggi, dan ERNIE X1 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, ERNIE 4.5 atau ERNIE X1?+

Dalam indeks kecerdasan gabungan dan benchmark coding, ERNIE X1 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API ERNIE 4.5 vs ERNIE X1?+

ERNIE 4.5 mengenakan biaya $0.60 / $2.40 per 1M token input/output, sedangkan ERNIE X1 sebesar $0.40 / $1.60. Secara keseluruhan, ERNIE X1 lebih hemat biaya.

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

ERNIE 4.5 mendukung konteks 128K token dibandingkan 128K token pada ERNIE X1, sementara ERNIE 4.5 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 Baidu & Baidu serta evaluasi benchmark independen (2026).