Head-to-Head Model Comparison

Doubao Pro vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs リサーチチーム監修最終確認日: October 2026編集方針
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Compare Doubao Pro by ByteDance against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.

徹底比較 (VS)

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ByteDance

Doubao Pro

フラッグシップ最先端モデル

ByteDance の Doubao Pro は、最先端のエンタープライズ推論、ソフトウェア工学、ミッションクリティカルな本番運用向けに設計されたAIモデルです。256K のコンテキストウィンドウ、毎秒 85 トークンの生成速度、知能指数 88/100(1Mトークンあたり入力$0.8・出力$3.2)を実現しています。

Intelligence Index88 / 100
Input Token:

$0.80 / 1M

Output Token:

$3.20 / 1M

Context Window:

256K tokens

SWE-bench Verified:

58%

Anthropic

Claude Opus 5.5

フラッグシップ最先端モデル

Anthropic の Claude Opus 5.5 は、最先端のエンタープライズ推論、ソフトウェア工学、ミッションクリティカルな本番運用向けに設計されたAIモデルです。1M のコンテキストウィンドウ、毎秒 78 トークンの生成速度、知能指数 94/100(1Mトークンあたり入力$4・出力$20)を実現しています。

Intelligence Index94 / 100
Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

ひと目でわかる主な違い

  • Doubao Pro is 5.9x cheaper for API usage (input + output tokens combined).
  • Claude Opus 5.5 has a larger context window (1M vs 256K tokens).
  • Doubao Pro is faster at 85 tok/s vs 78 tok/s.
  • Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 58.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureDoubao ProClaude Opus 5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
8894
Provider
ByteDanceAnthropic
Input Price
Cost per million input tokens
$0.80 / 1M$4.00 / 1M
Output Price
Cost per million output tokens
$3.20 / 1M$20.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.54 / 1M$3.08 / 1M
Context Window
Maximum input + output tokens
256K tokens~384 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
16K128K
Throughput Speed
Tokens generated per second
85 tok/s78 tok/s
SWE-bench Verified
Real-world software engineering
58%84.6%
GPQA Diamond
Graduate-level reasoning
71.5%82.3%
Cached Input Price
Prompt caching discount per 1M tokens
$0.08 / 1M$0.40 / 1M

分野別勝者スコアカード

At-a-glance decision framework
Coding
Claude Opus 5.5
+26.6% SWE-bench lead
Cost
Doubao Pro
5.9x cheaper monthly runtime
Speed
Doubao Pro
+9% faster generation
Context
Claude Opus 5.5
1M tokens window

検証済みベンチマークスコア比較

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

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

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

58%vs84.6%
GPQA Diamond (Doctorate-Level Science & Math)

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

71.5%vs82.3%
MMLU-Pro (Multi-task Language Understanding)

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

84.5%vs91.5%
LMSYS Chatbot Arena Elo

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

1410ptsvs1507pts
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.

85 tok/s vs78 tok/s

レイテンシ&応答時間

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
Doubao Pro0.46s
Claude Opus 5.51.40s
Est. End-to-End Response (500 tokens)TTFT + generation time
Doubao Pro6.34s
Claude Opus 5.57.81s

リアルタイムAPIトークン料金シミュレーター

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)
Doubao Pro Monthly API Bill
$4.20 / month
$0.8/1M in · $3.2/1M out
Claude Opus 5.5 Monthly API Bill
$24.60 / month
$4/1M in · $20/1M out
Doubao Pro saves approximately $20.40 / month (83%) under this workload.5.9x Savings

Doubao Pro · Strengths & Key Advantages

  • 256K のコンテキストウィンドウと最大 16K トークンの出力容量(SWE-bench Verified 58% · GPQA Diamond 71.5%)
  • 毎秒 85 トークンの高速スループットと、初回トークン到達時間(TTFT)わずか 460ms の低遅延
  • 優れたAPI経済性(1Mトークンあたり入力$0.8・出力$3.2)に加え、プロンプトキャッシュや構造化JSON出力・関数呼び出しに完全対応
Considerations & Trade-offs
  • クラウド専用のプロプライエタリモデルのため、モデル重みをダウンロードしてオフライン実行することはできません
  • 極めて高度な専門科学の証明問題では、上位の大型推論特化モデルの方がより深い洞察を提供する場合があります

Claude Opus 5.5 · Strengths & Key Advantages

  • 1M のコンテキストウィンドウと最大 128K トークンの出力容量(SWE-bench Verified 84.6% · GPQA Diamond 82.3%)
  • 毎秒 78 トークンの高速スループットと、初回トークン到達時間(TTFT)わずか 1400ms の低遅延
  • 優れたAPI経済性(1Mトークンあたり入力$4・出力$20)に加え、プロンプトキャッシュや構造化JSON出力・関数呼び出しに完全対応
Considerations & Trade-offs
  • クラウド専用のプロプライエタリモデルのため、モデル重みをダウンロードしてオフライン実行することはできません
  • 大量のトークンを処理する本番環境では、プロンプトキャッシュや Batch API の併用によるコスト最適化が推奨されます

Token Use & Task Economics

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

MetricDoubao ProClaude Opus 5.5
Cost per Task
Estimated USD to finish one task
$0.25$3.85
Output Tokens / Task
Tokens generated per task
24K68K
Reasoning Tokens / Task
Thinking tokens burned per task
8K42K

技術仕様・スペック

Architecture, release timeline, capabilities, and modalities.

FeatureDoubao ProClaude Opus 5.5
Official API Model ID (SDK)doubao-proclaude-opus-5-5-20260901
API ProtocolByteDance REST API (OpenAI-Compatible)Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date2026-042026-09
Knowledge CutoffFebruary 2026June 2026
ArchitectureAdvanced Creative Omnimodal MoE TransformerExtended Autonomous Hybrid Reasoning Transformer
Parameters300B (MoE)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 ($0.8/1M in) across full 256K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.08/1M tokens$0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)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) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)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 ClassificationByteDance 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 Modalitiestext, vision, audio, videotext, vision
Output Modalitiestexttext

Doubao Pro vs Claude Opus 5.5: よくある質問 (FAQ)

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

Claude Opus 5.5 is more intelligent. It scores 94 compared with 88 on the composite Intelligence Index.

Which model is faster?

Doubao Pro is faster, generating 85 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Doubao Pro is cheaper at $0.54 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Doubao Pro has lower latency, with a time to first token of 0.46s 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 256K tokens.

総合評価

Choose Doubao Pro for 最先端のエンタープライズ推論、ソフトウェア工学、ミッションクリティカルな本番運用、エンタープライズrag基盤、スケーラブルな本番api統合に最適。, or choose Claude Opus 5.5 for 最先端のエンタープライズ推論、ソフトウェア工学、ミッションクリティカルな本番運用、エンタープライズrag基盤、スケーラブルな本番api統合に最適。.

よくある質問 (FAQ)

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

Doubao Pro costs $0.8/1M input and $3.2/1M output tokens, while Claude Opus 5.5 costs $4/1M input and $20/1M output tokens.

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

Doubao Pro supports 256K 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.

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.

公的ソース: ByteDance & Anthropic Official Documentation