This guide covers two key migration paths to Claude 4.5 models:
  • Claude Sonnet 3.7 → Claude Sonnet 4.5: Our most intelligent model with best-in-class reasoning, coding, and long-running agent capabilities
  • Claude Haiku 3.5 → Claude Haiku 4.5: Our fastest and most intelligent Haiku model with near-frontier performance for real-time applications and high-volume intelligent processing
Both migrations involve breaking changes that require updates to your implementation. This guide will walk you through each migration path with step-by-step instructions and clearly marked breaking changes. Before starting your migration, we recommend reviewing What’s new in Claude 4.5 to understand the new features and capabilities available in these models, including extended thinking, context awareness, and behavioral improvements.

​
Migrating from Claude Sonnet 3.7 to Claude Sonnet 4.5

Claude Sonnet 4.5 is our most intelligent model, offering best-in-class performance for reasoning, coding, and long-running autonomous agents. This migration includes several breaking changes that require updates to your implementation.

​
Migration steps

  1. Update your model name: 
    # Before (Claude Sonnet 3.7)
model="claude-3-7-sonnet-20250219"

# After (Claude Sonnet 4.5)
model="claude-sonnet-4-5-20250929"
  2. Update sampling parameters
    This is a breaking change from the Claude Sonnet 3.7.
    Use only temperature OR top_p, not both: 
    # Before (Claude Sonnet 3.7) - This will error in Sonnet 4.5
response = client.messages.create(
    model="claude-3-7-sonnet-20250219",
    temperature=0.7,
    top_p=0.9,  # Cannot use both
    ...
)

# After (Claude Sonnet 4.5)
response = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    temperature=0.7,  # Use temperature OR top_p, not both
    ...
)
  3. Handle the new refusal stop reason Update your application to handle refusal stop reasons: 
    response = client.messages.create(...)

if response.stop_reason == "refusal":
    # Handle refusal appropriately
    pass
  4. Update text editor tool (if applicable)
    This is a breaking change from the Claude Sonnet 3.7.
    Update to text_editor_20250728 (type) and str_replace_based_edit_tool (name). Remove any code using the undo_edit command. 
    # Before (Claude Sonnet 3.7)
tools=[{"type": "text_editor_20250124", "name": "str_replace_editor"}]

# After (Claude Sonnet 4.5)
tools=[{"type": "text_editor_20250728", "name": "str_replace_based_edit_tool"}]
    See Text editor tool documentation for details.
  5. Update code execution tool (if applicable) Upgrade to code_execution_20250825. The legacy version code_execution_20250522 still works but is not recommended. See Code execution tool documentation for migration instructions.
  6. Remove token-efficient tool use beta header Token-efficient tool use is a beta feature in Claude 3.7. All Claude 4 models have built-in token-efficient tool use, so you should no longer include the beta header. Remove the token-efficient-tools-2025-02-19 beta header from your requests: 
    # Before (Claude Sonnet 3.7)
client.messages.create(
    model="claude-3-7-sonnet-20250219",
    betas=["token-efficient-tools-2025-02-19"],  # Remove this
    ...
)

# After (Claude Sonnet 4.5)
client.messages.create(
    model="claude-sonnet-4-5-20250929",
    # No token-efficient-tools beta header
    ...
)
  7. Remove extended output beta header The output-128k-2025-02-19 beta header for extended output is only available in Claude Sonnet 3.7. Remove this header from your requests: 
    # Before (Claude Sonnet 3.7)
client.messages.create(
    model="claude-3-7-sonnet-20250219",
    betas=["output-128k-2025-02-19"],  # Remove this
    ...
)

# After (Claude Sonnet 4.5)
client.messages.create(
    model="claude-sonnet-4-5-20250929",
    # No output-128k beta header
    ...
)
  8. Update your prompts for behavioral changes Claude Sonnet 4.5 has a more concise, direct communication style and requires explicit direction. Review Claude 4 prompt engineering best practices for optimization guidance.
  9. Consider enabling extended thinking for complex tasks Enable extended thinking for significant performance improvements on coding and reasoning tasks (disabled by default): 
    response = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=16000,
    thinking={"type": "enabled", "budget_tokens": 10000},
    messages=[...]
)
    Extended thinking impacts prompt caching efficiency.
  10. Test your implementation
Test in a development environment before deploying to production to ensure all breaking changes are properly handled.

​
Sonnet 3.7 → 4.5 migration checklist

  • Update model ID to claude-sonnet-4-5-20250929
  • BREAKING: Update sampling parameters to use only temperature OR top_p, not both
  • Handle new refusal stop reason in your application
  • BREAKING: Update text editor tool to text_editor_20250728 and str_replace_based_edit_tool (if applicable)
  • BREAKING: Remove any code using the undo_edit command (if applicable)
  • Update code execution tool to code_execution_20250825 (if applicable)
  • Remove token-efficient-tools-2025-02-19 beta header (if applicable)
  • Remove output-128k-2025-02-19 beta header (if applicable)
  • Review and update prompts following Claude 4 best practices
  • Consider enabling extended thinking for complex reasoning tasks
  • Handle model_context_window_exceeded stop reason (Sonnet 4.5 specific)
  • Consider enabling memory tool for long-running agents (beta)
  • Consider using automatic tool call clearing for context editing (beta)
  • Test in development environment before production deployment

​
Features removed from Claude Sonnet 3.7

  • Token-efficient tool use: The token-efficient-tools-2025-02-19 beta header is not supported (see step 6)
  • Extended output: The output-128k-2025-02-19 beta header is not supported (see step 7)
Both headers can be included in requests but will have no effect.

​
Migrating from Claude Haiku 3.5 to Claude Haiku 4.5

Claude Haiku 4.5 is our fastest and most intelligent Haiku model with near-frontier performance, delivering premium model quality with real-time performance for interactive applications and high-volume intelligent processing. This migration includes several breaking changes that require updates to your implementation. For a complete overview of new capabilities, see What’s new in Claude 4.5.
Haiku 4.5 pricing 1permillioninputtokens,1 per million input tokens, 5 per million output tokens. See Claude pricing for details.

​
Migration steps

  1. Update your model name: 
    # Before (Haiku 3.5)
model="claude-3-5-haiku-20241022"

# After (Haiku 4.5)
model="claude-haiku-4-5-20251001"
  2. Update tool versions (if applicable)
    This is a breaking change from the Claude Haiku 3.5.
    Haiku 4.5 only supports the latest tool versions: 
    # Before (Haiku 3.5)
tools=[{"type": "text_editor_20250124", "name": "str_replace_editor"}]

# After (Haiku 4.5)
tools=[{"type": "text_editor_20250728", "name": "str_replace_based_edit_tool"}]
    • Text editor: Use text_editor_20250728 and str_replace_based_edit_tool
    • Code execution: Use code_execution_20250825
    • Remove any code using the undo_edit command
  3. Update sampling parameters
    This is a breaking change from the Claude Haiku 3.5.
    Use only temperature OR top_p, not both: 
    # Before (Haiku 3.5) - This will error in Haiku 4.5
response = client.messages.create(
    model="claude-3-5-haiku-20241022",
    temperature=0.7,
    top_p=0.9,  # Cannot use both
    ...
)

# After (Haiku 4.5)
response = client.messages.create(
    model="claude-haiku-4-5-20251001",
    temperature=0.7,  # Use temperature OR top_p, not both
    ...
)
  4. Review new rate limits Haiku 4.5 has separate rate limits from Haiku 3.5. See Rate limits documentation for details.
  5. Handle the new refusal stop reason Update your application to handle refusal stop reasons.
  6. Consider enabling extended thinking for complex tasks Enable extended thinking for significant performance improvements on coding and reasoning tasks (disabled by default): 
    response = client.messages.create(
    model="claude-haiku-4-5-20251001",
    max_tokens=16000,
    thinking={"type": "enabled", "budget_tokens": 5000},
    messages=[...]
)
    Extended thinking impacts prompt caching efficiency.
  7. Explore new capabilities See What’s new in Claude 4.5 for details on context awareness, increased output capacity (64K tokens), higher intelligence, and improved speed.
  8. Test your implementation Test in a development environment before deploying to production to ensure all breaking changes are properly handled.

​
Haiku 3.5 → 4.5 migration checklist

  • Update model ID to claude-haiku-4-5-20251001
  • BREAKING: Update tool versions to latest (e.g., text_editor_20250728, code_execution_20250825) - legacy versions not supported
  • BREAKING: Remove any code using the undo_edit command (if applicable)
  • BREAKING: Update sampling parameters to use only temperature OR top_p, not both
  • Review and adjust for new rate limits (separate from Haiku 3.5)
  • Handle new refusal stop reason in your application
  • Consider enabling extended thinking for complex reasoning tasks (new capability)
  • Leverage context awareness for better token management in long sessions
  • Prepare for larger responses (max output increased from 8K to 64K tokens)
  • Review and update prompts following Claude 4 best practices
  • Test in development environment before production deployment

​
Choosing between Sonnet 4.5 and Haiku 4.5

Both Claude Sonnet 4.5 and Claude Haiku 4.5 are powerful Claude 4 models with different strengths:

​
Choose Claude Sonnet 4.5 (most intelligent) for:

  • Complex reasoning and analysis: Best-in-class intelligence for sophisticated tasks
  • Long-running autonomous agents: Superior performance for agents working independently for extended periods
  • Advanced coding tasks: Our strongest coding model with advanced planning and security engineering
  • Large context workflows: Enhanced context management with memory tool and context editing capabilities
  • Tasks requiring maximum capability: When intelligence and accuracy are the top priorities

​
Choose Claude Haiku 4.5 (fastest and most intelligent Haiku) for:

  • Real-time applications: Fast response times for interactive user experiences with near-frontier performance
  • High-volume intelligent processing: Cost-effective intelligence at scale with improved speed
  • Cost-sensitive deployments: Near-frontier performance at lower price points
  • Sub-agent architectures: Fast, intelligent agents for multi-agent systems
  • Computer use at scale: Cost-effective autonomous desktop and browser automation
  • Tasks requiring speed: When low latency is critical while maintaining near-frontier intelligence

​
Extended thinking recommendations

Claude 4 models, particularly Sonnet and Haiku 4.5, show significant performance improvements when using extended thinking for coding and complex reasoning tasks. Extended thinking is disabled by default but we recommend enabling it for demanding work. Important: Extended thinking impacts prompt caching efficiency. When non-tool-result content is added to a conversation, thinking blocks are stripped from cache, which can increase costs in multi-turn conversations. We recommend enabling thinking when the performance benefits outweigh the caching trade-off.

​
Other migration scenarios

The primary migration paths covered above (Sonnet 3.7 → 4.5 and Haiku 3.5 → 4.5) represent the most common upgrades. However, you may be migrating from other Claude models to Claude 4.5. This section covers those scenarios.

​
Migrating from Claude Sonnet 4 → Sonnet 4.5

Breaking change: Cannot specify both temperature and top_p in the same request. All other API calls will work without modification. Update your model ID and adjust sampling parameters if needed: 
# Before (Claude Sonnet 4)
model="claude-sonnet-4-20250514"

# After (Claude Sonnet 4.5)
model="claude-sonnet-4-5-20250929"

​
Migrating from Claude Opus 4.1 → Sonnet 4.5

No breaking changes. All API calls will work without modification. Simply update your model ID: 
# Before (Claude Opus 4.1)
model="claude-opus-4-1-20250805"

# After (Claude Sonnet 4.5)
model="claude-sonnet-4-5-20250929"
Claude Sonnet 4.5 is our most intelligent model with best-in-class reasoning, coding, and long-running agent capabilities. It offers superior performance compared to Opus 4.1 for most use cases.

​
Need help?