Gemini API / Cloud Platforms

Gemini API 404 NOT_FOUND Error with High Input Tokens — Fix Guide

Fix Gemini image models returning 404 NOT_FOUND when input token count exceeds ~15k tokens Includes evidence for Gemini API troubleshooting demand.

Source-backed Last updated May 13, 2026 1 source Needs local verification

Category: Cloud Platforms
Error signature: google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found
Quick fix: Compare the failing environment with a known working setup, then change one configuration value at a time.
Updated: May 13, 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 Gemini 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

google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found is a Gemini API failure pattern reported for developers trying to fix gemini image models returning 404 not_found when input token count exceeds ~15k tokens. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Active GitHub issue (2026-05-08) reports 404 NOT_FOUND error for Gemini image models with high input tokens. The error message is misleading (entity not found vs. token limit exceeded), making this a high-value troubleshooting target.

Common causes

Gemini 3 image models (gemini-3.1-flash-image-preview, gemini-3-pro-image-preview) return a misleading 404 NOT_FOUND error when the input token count exceeds ~15k — well below the documented model card maximums. Developers are confused by the 404 error when the model actually exists; the real issue is a server-side token limit.
Active GitHub issue (2026-05-08) reports 404 NOT_FOUND error for Gemini image models with high input tokens. The error message is misleading (entity not found vs. token limit exceeded), making this a high-value troubleshooting target.

Quick fixes

Confirm the exact error signature matches google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found.
Check the Gemini API account, local tool state, and provider configuration involved in the failing workflow.
Compare the failing environment with a known working setup, then change one configuration value at a time.

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 google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found exactly before applying the quick fix.
Compare the failing environment with Gemini 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 google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found mean in Gemini API?

google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found indicates the workflow described by "Gemini API 404 NOT_FOUND Error with High Input Tokens — Fix Guide" failed in a Cloud Platforms context. Start by confirming the exact signature and the component that emitted it.

What should I check first for google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found?

Check whether this cause matches your environment: Gemini 3 image models (gemini-3.1-flash-image-preview, gemini-3-pro-image-preview) return a misleading 404 NOT_FOUND error when the input token count exceeds ~15k — well below the documented model card maximums. Developers are confused by the 404 error when the model actually exists; the real issue is a server-side token limit.

Is the google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found guidance source-backed?

The "Gemini API 404 NOT_FOUND Error with High Input Tokens — Fix Guide" page is labeled source-backed. It has 1 public source URL from github.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found?

For "Gemini API 404 NOT_FOUND Error with High Input Tokens — Fix Guide", avoid applying "Compare the failing environment with a known working setup, then change one configuration value at a time." 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 google.genai.errors.ClientError: 404 NOT_FOUND — Requested entity was not found?

For "Gemini API 404 NOT_FOUND Error with High Input Tokens — Fix Guide", collect the failing Gemini API command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.