Seed 2.0 Pro: ByteDance's Flagship Reasoning Model

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Key Highlights

• Flagship Reasoning: AIME 2025 at 98.3, AIME 2026 at 94.2, world-class mathematical reasoning
• Top-Tier Coding: Codeforces rating 3020 (no tools), LiveCodeBench v6 at 87.8, SWE-Bench Verified 76.5%
• Powerful Agent Capabilities: BrowseComp 77.3, tau2-Bench Retail 90.4 / Telecom 94.2, WideSearch 74.7
• Multimodal Understanding: Image, video, and text input, VideoMME 89.5, MMMU 85.4
• Global Competitiveness: LMArena leaderboard #6, competing directly with GPT-5.2, Claude Opus 4.5, Gemini 3 Pro

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Background

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Detailed Analysis

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Core Features

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Performance Highlights

• vs GPT-5.2: Input cost ~1/3.7, output cost ~1/5.9
• vs Claude Opus 4.5: Input cost ~1/10
• vs Gemini 3 Pro: Each has advantages in different agent and math reasoning tasks
• Seed 2.0 Pro won gold medals at ICPC, IMO, and CMO competitions

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Technical Specifications

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Practical Applications

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Recommended Use Cases

1. Complex Math & Science Reasoning: Advanced proofs, research assistance, quantitative analysis
2. Advanced Coding Tasks: Code generation, code review, large-scale refactoring, bug fixing
3. Agent Workflows: Multi-step automation, browser operation, complex decision chains
4. Image-to-Code: Converting design mockups into functional web pages
5. 3D Design & CAD: Engineering design and modeling assistance
6. Multimodal Document Analysis: Deep understanding of complex charts and video content

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Code Examples

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Text Conversation

from openai import OpenAI

client = OpenAI(
    api_key="your-apiyi-key",
    base_url="https://api.apiyi.com/v1"
)

response = client.chat.completions.create(
    model="seed-2-0-pro-260328",
    messages=[
        {
            "role": "user",
            "content": "Prove that n^3 + 2n is divisible by 3 for all positive integers n"
        }
    ],
    max_tokens=4096
)

print(response.choices[0].message.content)

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Image Understanding

response = client.chat.completions.create(
    model="seed-2-0-pro-260328",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Convert this design mockup into HTML + CSS code"
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://example.com/design.png",
                        "detail": "high"
                    }
                }
            ]
        }
    ],
    max_tokens=4096
)

print(response.choices[0].message.content)

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Tool Calling

response = client.chat.completions.create(
    model="seed-2-0-pro-260328",
    messages=[
        {"role": "user", "content": "Search for recent flights and compare prices"}
    ],
    tools=[
        {
            "type": "function",
            "function": {
                "name": "search_flights",
                "description": "Search for flight information",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "origin": {"type": "string", "description": "Departure city"},
                        "destination": {"type": "string", "description": "Destination city"},
                        "date": {"type": "string", "description": "Departure date"}
                    },
                    "required": ["origin", "destination", "date"]
                }
            }
        }
    ]
)

print(response.choices[0].message)

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Best Practices

1. Leverage long-chain reasoning: Pro excels at complex multi-step problems — use Lite or Mini for simpler tasks to save costs
2. Prefer Pro for Agent scenarios: When tool calling and multi-step decisions are needed, Pro’s robustness far exceeds other variants
3. Pair with Lite: Use Lite (~1/5 of Pro’s cost) for routine production tasks, upgrade to Pro for high-accuracy needs

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Pricing and Availability

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Seed 2.0 Series Comparison

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Deposit Bonus

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Available Models

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How to Access

• Website: apiyi.com
• API Endpoint: https://api.apiyi.com/v1
• OpenAI-compatible format
• Works with all OpenAI SDKs

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Summary and Recommendations

• Reasoning King: AIME 2025 at 98.3, Codeforces 3020, IMO/ICPC/CMO gold medals
• Strong Agent Capabilities: BrowseComp 77.3, tau2-Bench above 90, ideal for complex automation
• Multimodal Understanding: Video, image, and text coverage, VideoMME 89.5
• Highly Competitive Pricing: ~4-6x cheaper than GPT-5.2, ~10x cheaper than Opus 4.5

1. High-difficulty reasoning: Pro is the first choice, especially for math proofs and research
2. Agent workflows: Pro offers the best long-chain reasoning robustness
3. Daily production: Consider Lite (~1/5 of Pro’s cost), comparable in some tasks
4. High-concurrency lightweight: Consider Mini for lowest cost

• Researchers and engineers needing maximum reasoning accuracy
• Developers building complex agent systems
• Teams requiring high-quality code generation and review
• Enterprise users seeking flagship performance with cost efficiency