GetInfoUs
Head-to-Head Model Comparison

Solar Pro vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs 연구팀 검토 완료최종 검토일: October 2026편집 정책
공유
Related topics (4)
UpstageAnthropicflagshipflagship

Compare Solar Pro by Upstage against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.

1:1 모델 맞대결 비교 (VS)

원하는 AI 모델 선택 및 실시간 비교

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

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench

Live comparison: no in-depth editorial review has been published for this pair yet.

Popular Matchups:
Upstage

Solar Pro

플래그십 프론티어 모델

Upstage의 Solar Pro 모델은 32K 토큰 컨텍스트 윈도우와 입력 $0.25/1M 토큰, 출력 $0.25/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.

Intelligence Index75 / 100
Input Token:

$0.25 / 1M

Output Token:

$0.25 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

Anthropic

Claude Opus 5.5

심층 추론 모델

Anthropic의 Claude Opus 5.5 모델은 1M 토큰 컨텍스트 윈도우와 입력 $4.0/1M 토큰, 출력 $20.0/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.

Intelligence Index94 / 100
Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

한눈에 보는 핵심 차이점

  • Solar Pro is 38.6x cheaper for API usage (input + output tokens combined).
  • Claude Opus 5.5 has a larger context window (1M vs 33K tokens).
  • Solar Pro is faster at 100 tok/s vs 78 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureSolar ProClaude Opus 5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
7594
Provider
UpstageAnthropic
Input Price
Cost per million input tokens
$0.25 / 1M$4.00 / 1M
Output Price
Cost per million output tokens
$0.25 / 1M$20.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.09 / 1M$3.08 / 1M
Context Window
Maximum input + output tokens
32.8K tokens~49 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
4K128K
Throughput Speed
Tokens generated per second
100 tok/s78 tok/s
SWE-bench Verified
Real-world software engineering
N/A84.6%
GPQA Diamond
Graduate-level reasoning
N/A82.3%
Cached Input Price
Prompt caching discount per 1M tokens
$0.03 / 1M$0.40 / 1M

부문별 우위 모델

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Solar Pro
38.6x cheaper monthly runtime
Speed
Solar Pro
+28% faster generation
Context
Claude Opus 5.5
1M tokens window

검증된 벤치마크 점수 비교

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

Solar ProClaude Opus 5.5
SWE-bench Verified (Autonomous Coding)

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

N/Avs84.6%
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs82.3%
MMLU-Pro (Multi-task Language Understanding)

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

73.5%vs91.5%
LMSYS Chatbot Arena Elo

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

1260ptsvs1507pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs19.8%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

N/Avs66.4%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs58.7%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs83.1%
AIME (Advanced Math Competition)

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

N/Avs95.4%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

N/Avs92.6%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

100 tok/s vs78 tok/s

지연 시간(Latency) 및 응답 속도

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
Claude Opus 5.51.40s
Est. End-to-End Response (500 tokens)TTFT + generation time
Solar Pro5.38s
Claude Opus 5.57.81s

실시간 API 토큰 비용 시뮬레이터

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)
Solar Pro Monthly API Bill
$0.64 / month
$0.25/1M in · $0.25/1M out
Claude Opus 5.5 Monthly API Bill
$24.60 / month
$4/1M in · $20/1M out
Solar Pro saves approximately $23.96 / month (97%) under this workload.38.6x Savings

Solar Pro · Strengths & Key Advantages

  • Upstage의 첨단 Depth-Upscaled Dense Language Transformer 아키텍처와 최대 32K 토큰 컨텍스트 지원
  • 경쟁력 있는 API 가격(입력 $0.25/1M, 출력 $0.25/1M)과 빠른 응답 속도
  • 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
  • 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
  • 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨

Claude Opus 5.5 · Strengths & Key Advantages

  • Anthropic의 첨단 Extended Autonomous Hybrid Reasoning Transformer 아키텍처와 최대 1M 토큰 컨텍스트 지원
  • 경쟁력 있는 API 가격(입력 $4.0/1M, 출력 $20.0/1M)과 빠른 응답 속도
  • 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
  • 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
  • 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricSolar ProClaude Opus 5.5
Cost per Task
Estimated USD to finish one task
$0.04$3.85
Output Tokens / Task
Tokens generated per task
10K68K
Reasoning Tokens / Task
Thinking tokens burned per task
0K42K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

FeatureSolar ProClaude Opus 5.5
Official API Model ID (SDK)solar-proclaude-opus-5-5-20260901
API ProtocolUpstage REST API (OpenAI-Compatible)Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date2024-102026-09
Knowledge CutoffJune 2024June 2026
ArchitectureDepth-Upscaled Dense Language TransformerExtended Autonomous Hybrid Reasoning Transformer
Parameters22B (Depth-Upscaled)Confidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.25/1M in) across full 33K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.025/1M tokens$0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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 toolsNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationCustom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
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 ClassificationUpstage Production Safety & Alignment VerifiedAnthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
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
Output Modalitiestexttext

Solar Pro vs Claude Opus 5.5: 핵심 요약 문답 (FAQ)

Which is more intelligent, Solar Pro or Claude Opus 5.5?

Claude Opus 5.5 is more intelligent. It scores 94 compared with 75 on the composite Intelligence Index.

Which model is faster?

Solar Pro is faster, generating 100 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Solar Pro is cheaper at $0.09 per 1M tokens blended, compared with $3.08 (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 1.40s.

Which model has a larger context window?

Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 32.8K tokens.

종합 평가

Choose Solar Pro for 기업 업무 자동화, 소프트웨어 개발, 자율형 ai 에이전트 및 upstage 기반 프로덕션 파이프라인, or choose Claude Opus 5.5 for 기업 업무 자동화, 소프트웨어 개발, 자율형 ai 에이전트 및 anthropic 기반 프로덕션 파이프라인.

자주 묻는 질문 (FAQ)

Which is cheaper: Solar Pro or Claude Opus 5.5?+

Solar Pro costs $0.25/1M input and $0.25/1M output tokens, while Claude Opus 5.5 costs $4/1M input and $20/1M output tokens.

Which model has a larger context window: Solar Pro or Claude Opus 5.5?+

Solar Pro supports 33K tokens whereas Claude Opus 5.5 supports 1M tokens.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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.

공식 출처: Upstage & Anthropic Official Documentation