Head-to-Head Model Comparison

Solar Pro vs Yi-Large

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Solar ProProfile

Yi-LargeProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Upstage

Solar Pro

Model Unggulan Garis Depan

Solar Pro dari Upstage adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 33K, kecepatan 100 token/detik, indeks kecerdasan 75/100, serta tarif $0

Intelligence Index75 / 100

Input Token:

$0.25 / 1M

Output Token:

$0.25 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

01.AI

Yi-Large

Model Generasi Klasik

Yi-Large dari 01.AI adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 33K, kecepatan 75 token/detik, indeks kecerdasan 79/100, serta tarif $2.5/$2.5 per 1

Intelligence Index79 / 100

Input Token:

$2.50 / 1M

Output Token:

$2.50 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

Solar Pro is 10.0x cheaper for API usage (input + output tokens combined).
Solar Pro is faster at 100 tok/s vs 75 tok/s.

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

Feature	Solar Pro	Yi-Large
Intelligence Index Composite reasoning & knowledge score (0-100)	75	79
Provider	Upstage	01.AI
Input Price Cost per million input tokens	$0.25 / 1M	$2.50 / 1M
Output Price Cost per million output tokens	$0.25 / 1M	$2.50 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.09 / 1M	$0.93 / 1M
Context Window Maximum input + output tokens	32.8K tokens~49 A4 pages of text	32.8K tokens~49 A4 pages of text
Max Output Tokens Per single request	4K	4K
Throughput Speed Tokens generated per second	100 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
GPQA Diamond Graduate-level reasoning	N/A	52%
Cached Input Price Prompt caching discount per 1M tokens	$0.03 / 1M	$0.25 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Solar Pro

10.0x cheaper monthly runtime

Speed

Solar Pro

+33% faster generation

Context

Tied

32.8K tokens window

Skor Benchmark Terverifikasi

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

Solar ProYi-Large

GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs52%

MMLU-Pro (Multi-task Language Understanding)

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

73.5%vs76.5%

LMSYS Chatbot Arena Elo

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

1260ptsvs1290pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

100 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

Solar Pro0.38s

Yi-Large0.51s

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

Solar Pro5.38s

Yi-Large7.18s

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)

Solar Pro Monthly API Bill

$0.64 / month

$0.25/1M in · $0.25/1M out

Yi-Large Monthly API Bill

$6.38 / month

$2.5/1M in · $2.5/1M out

Solar Pro saves approximately $5.74 / month (90%) under this workload.10.0x Savings

Solar Pro · Strengths & Key Advantages

Jendela konteks 33K dengan kapasitas output maksimum hingga 4K token (MMLU-Pro 73.5% · Arena Elo 1260)
Kecepatan generasi tinggi 100 token/detik dengan latensi token pertama (TTFT) hanya 380 ms
Skema harga API kompetitif (tarif $0.25/$0.25 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

Yi-Large · Strengths & Key Advantages

Jendela konteks 33K dengan kapasitas output maksimum hingga 4K token (GPQA Diamond 52% · MMLU-Pro 76.5%)
Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 510 ms
Skema harga API kompetitif (tarif $2.5/$2.5 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	Solar Pro	Yi-Large
Cost per Task Estimated USD to finish one task	$0.04	$0.15
Output Tokens / Task Tokens generated per task	10K	14K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Solar Pro	Yi-Large
Official API Model ID (SDK)	solar-pro	yi-large
API Protocol	Upstage REST API (OpenAI-Compatible)	01.AI REST API (OpenAI-Compatible)
Release Date	2024-10	2024-05
Knowledge Cutoff	June 2024	March 2024
Architecture	Depth-Upscaled Dense Language Transformer	Dense Bilingual Foundation Transformer
Parameters	22B (Depth-Upscaled)	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 ($0.25/1M in) across full 33K window	Flat rate ($2.5/1M in) across full 33K window
Prompt Cache Policy & TTL	Cached input at $0.025/1M tokens	Cached input at $0.25/1M 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	Upstage Production Safety & Alignment Verified	01.AI 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

Solar Pro vs Yi-Large: Jawaban Cepat (FAQ)

Which is more intelligent, Solar Pro or Yi-Large?

Yi-Large is more intelligent. It scores 79 compared with 75 on the composite Intelligence Index.

Which model is faster?

Solar Pro is faster, generating 100 tokens per second compared with 75 tokens per second.

Which model is cheaper to run?

Solar Pro is cheaper at $0.09 per 1M tokens blended, compared with $0.93 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Solar Pro has lower latency, with a time to first token of 0.38s compared with 0.51s.

Kesimpulan

Baik Solar Pro (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Yi-Large (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Yi-Large unggul dalam penalaran dan pemrograman, Solar Pro memberikan kecepatan generasi token lebih tinggi, dan Solar Pro lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Solar Pro atau Yi-Large?+

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

Berapa perbandingan harga API Solar Pro vs Yi-Large?+

Solar Pro mengenakan biaya $0.25 / $0.25 per 1M token input/output, sedangkan Yi-Large sebesar $2.50 / $2.50. Secara keseluruhan, Solar Pro lebih hemat biaya.

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

Solar Pro mendukung konteks 32.8K token dibandingkan 32.8K token pada Yi-Large, sementara Solar Pro 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)

Solar Pro vs Yi-Large

Ganti & Bandingkan Model Apa Saja

Solar Pro

Yi-Large

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Solar Pro · Strengths & Key Advantages

Considerations & Trade-offs

Yi-Large · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Solar Pro vs Yi-Large: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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