Anthropic API / Anthropic API

Anthropic invalid_request_error: Input Tokens Exceed Context Limit of 200000

Fix Anthropic Claude API returning 400 when combined prompt exceeds the model's fixed context window; need token counting, truncation, and chunking strategies. Includes evidence for Anthropic API troubleshooting demand.

Source-backed Last updated May 17, 2026 1 source Needs local verification

Category: Anthropic API
Error signature: anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'}
Quick fix: Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Updated: May 17, 2026
Verification status: Source-backed
Evidence: 1 public source URL

Before you change production

This page includes public source URLs in the imported troubleshooting record. Compare those references with your version and environment before applying changes.

Reproduce the smallest failing action and save non-secret logs before changing configuration.
Check versions for Anthropic API, related SDKs, package managers, CI runners, and hosting providers.
Change one setting or dependency at a time, then rerun the same failing command or request.
Avoid destructive commands, credential rotation, billing changes, or security relaxations without a rollback plan.

What this error means

anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'} is a Anthropic API failure pattern reported for developers trying to fix anthropic claude api returning 400 when combined prompt exceeds the model's fixed context window; need token counting, truncation, and chunking strategies.. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Source: https://markaicode.com/errors/anthropic-context-length-fix/. Fully verified via web_fetch — complete error trace, tokenizer usage (tiktoken cl100k_base), and fix steps (truncate + safety margin). P0 priority — affects paid Anthropic API billing. Distinct from 'insufficient_quota' (which is financial) — this is structural (context limit). Category mapping: Anthropic API → Anthropic API per approved rules.

Common causes

Source: https://markaicode.com/errors/anthropic-context-length-fix/. Fully verified via web_fetch — complete error trace, tokenizer usage (tiktoken cl100k_base), and fix steps (truncate + safety margin). P0 priority — affects paid Anthropic API billing. Distinct from 'insufficient_quota' (which is financial) — this is structural (context limit). Category mapping: Anthropic API → Anthropic API per approved rules.

Quick fixes

Confirm the exact error signature matches anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'}.
Check the Anthropic API account, local tool state, and provider configuration involved in the failing workflow.
Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.

Platform/tool-specific checks

Verify the command, editor, extension, or API client that produced the error.
Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

Capture the exact error message and the command, editor action, or request that triggered it.
Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
Review the source evidence below and compare it with your environment.
Apply one change at a time and rerun the smallest failing action.
Keep the working fix documented for the team or deployment environment.

How to prevent it

Keep provider/tool configuration documented.
Record non-secret diagnostics such as tool version, provider name, model name, and command path.
Add a lightweight check before CI or production workflows depend on the tool.

Diagnostic flow for this page

Match anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'} exactly before applying the quick fix.
Compare the failing environment with Anthropic API versions, account scope, provider settings, and deployment context.
Check the listed common causes in order, starting with the cause that best matches your logs.
Use the evidence status below to decide whether to confirm against public sources or official documentation.
Apply one reversible change, rerun the smallest failing action, and keep rollback notes.

FAQ

What does anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'} mean in Anthropic API?

anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'} indicates the workflow described by "Anthropic invalid_request_error: Input Tokens Exceed Context Limit of 200000" failed in a Anthropic API context. Start by confirming the exact signature and the component that emitted it.

What should I check first for anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'}?

Check whether this cause matches your environment: Source: https://markaicode.com/errors/anthropic-context-length-fix/. Fully verified via web_fetch — complete error trace, tokenizer usage (tiktoken cl100k_base), and fix steps (truncate + safety margin). P0 priority — affects paid Anthropic API billing. Distinct from 'insufficient_quota' (which is financial) — this is structural (context limit). Category mapping: Anthropic API → Anthropic API per approved rules.

Is the anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'} guidance source-backed?

The "Anthropic invalid_request_error: Input Tokens Exceed Context Limit of 200000" page is labeled source-backed. It has 1 public source URL from markaicode.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'}?

For "Anthropic invalid_request_error: Input Tokens Exceed Context Limit of 200000", avoid applying "Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests." when the error text differs, the affected version or provider is different, or the change would touch credentials, billing, DNS, production deploy settings, or irreversible data.

What should I collect before debugging anthropic.BadRequestError: Error code: 400 - {'type': 'invalid_request_error', 'message': 'Input tokens exceed the context limit of 200000 for model claude-3-opus-20240229.'}?

For "Anthropic invalid_request_error: Input Tokens Exceed Context Limit of 200000", collect the failing Anthropic API command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.