Head-to-Head Model Comparison

Solar Pro vs Yi-Large

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial

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Solar ProProfile

Yi-LargeProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Upstage

Solar Pro

Modelo Principal de Fronteira

O Solar Pro da Upstage é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 33K, velocidade de 100 tokens/s, índice de inteligência de 75/100 e tar

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

Modelo de Geração Clássica

O Yi-Large da 01.AI é um modelo de IA projetado para assistentes conversacionais, síntese de textos e tarefas corporativas, oferecendo janela de contexto de 33K, velocidade de 75 tokens/s, índice de inteligência de 79/100 e tarifa de $2.5/$

Intelligence Index79 / 100

Input Token:

$2.50 / 1M

Output Token:

$2.50 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

Principais Diferenças em Resumo

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

Quem vence em cada categoria?

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

Pontuações de Benchmarks Verificadas

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

Latência e Tempo de Resposta

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

Simulador Interativo de Custo de Tokens

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

Janela de contexto de 33K com limite máximo de saída de 4K tokens (MMLU-Pro 73.5% · Arena Elo 1260)
Taxa de transferência rápida de 100 tokens/segundo com latência inicial (TTFT) de 380 ms
Economia de API competitiva ($0.25/$0.25 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas

Considerations & Trade-offs

Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Yi-Large · Strengths & Key Advantages

Janela de contexto de 33K com limite máximo de saída de 4K tokens (GPQA Diamond 52% · MMLU-Pro 76.5%)
Taxa de transferência rápida de 75 tokens/segundo com latência inicial (TTFT) de 510 ms
Economia de API competitiva ($2.5/$2.5 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas

Considerations & Trade-offs

Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos

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

Especificações Técnicas

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: Respostas Rápidas (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.

Veredito

Tanto Solar Pro (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto Yi-Large (Indicado para assistentes conversacionais, síntese de textos e tarefas corporativas, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Yi-Large lidera em inteligência geral e programação, Solar Pro oferece geração mais rápida e Solar Pro apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Solar Pro ou Yi-Large?+

Nas avaliações de inteligência e código, Yi-Large leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Solar Pro ou Yi-Large?+

O Solar Pro custa $0.25 / $0.25 por 1M de tokens (entrada/saída) e o Yi-Large custa $2.50 / $2.50. No custo combinado, Solar Pro é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Solar Pro suporta 32.8K tokens de contexto contra 32.8K tokens do Yi-Large, enquanto Solar Pro entrega maior velocidade de geração.

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

Troque e Compare Qualquer Modelo

Solar Pro

Yi-Large

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

Solar Pro · Strengths & Key Advantages

Considerations & Trade-offs

Yi-Large · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

Solar Pro vs Yi-Large: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

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