Together AI API Error Codes Explained: 400, 401, 429, 5xx and Fixes
Every status code the Together AI API returns, what actually causes it, whether it is safe to retry, and how to tell a bug in your request from an outage on Together AI's side.
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Together AI hosts hundreds of open models on shared capacity, and that architecture shows up directly in its error codes: the failure you will actually spend time on is not a bad request, it is a model that is temporarily oversubscribed.
The single most expensive mistake in Together AI integrations is treating every non-200 the same way: one generic catch block, one blind retry loop. Half of Together AI's error codes are deterministic — retrying them cannot succeed, it only burns quota and hides the real cause. This guide splits them into the ones you fix, the ones you wait out, and the ones you fail over on.
Quick triage: 4xx is your request or your account. 5xx is Together AI. If you are seeing 5xx across more than one API key, check live Together AI status before you change a line of code.
Every Together AI API Error Code
Codes below are what Together AI returns in production today. Response shapes drift as APIs version, so log the full body — the message text usually names the failing field, and that detail is what turns a 20-minute debug into a 20-second one.
| Code | Type | What causes it | Fix |
|---|---|---|---|
400 | invalid_request_error | Bad JSON, unsupported parameter for that model, or a prompt exceeding the model's context window. | Check the model's context length — the same body can 400 on one model and succeed on a longer-context sibling. |
401 | authentication_error | Missing or revoked key, or the Bearer prefix omitted. | Re-issue in the dashboard. Never retry. |
403 | permission_error | Key lacks access to a gated or dedicated-endpoint model. | Request access or switch to an openly served model. Not retryable. |
404 | model_not_available | Model string misspelled or no longer hosted. Together's exact repo-style names are easy to typo. | Copy the name verbatim from GET /v1/models — capitalization and the -Turbo suffix matter. |
422 | invalid_parameters | Parameter combination the serving stack rejects, e.g. conflicting sampling settings or a bad tool schema. | Remove the conflicting parameter; the body names it. |
429 | rate_limit / model overloaded | Two different things share this code: your account quota, or the shared model pool being saturated. | Read the message. Account quota means backoff; model overloaded means switch model variant now. |
500 | internal_server_error | Together-side fault on the inference host. | Retry twice with backoff, then fail over. |
502 | Bad Gateway | Router reached no healthy model host, common during model redeploys. | Retry with backoff or route to another model. |
503 | ModelOverloadedError / service unavailable | The specific model has no spare capacity right now. | Switch to a sibling variant or a dedicated endpoint. Backoff alone is the slow path. |
504 | Gateway Timeout | Long generation exceeded the gateway window. | Stream the response and cap max_tokens rather than retrying the same blocking call. |
Catch Error-Rate Spikes Before Support Tickets Do
Track status-code distribution and latency on your Together AI endpoint continuously, so a shift from 200s to 429s or 503s shows up on a dashboard instead of in a customer email.
Try Better Stack Free →The Together AI Error That Wastes the Most Time
Together AI's signature error is model overload — a 429 or 503 whose body says the model, not your key, is out of headroom. Because capacity is pooled per model, the fix is orthogonal to everything you would try for a normal quota error: switching to a different model size or a Turbo/Lite variant of the same family clears it instantly, while backoff on the original model can stall for minutes. Read the message body, not just the status code, before deciding which lever to pull.
Retry or Don't: The Decision Table
This is the part most error handling gets wrong. Retrying a deterministic error is strictly worse than failing fast — it delays the real signal and, on paid tiers, multiplies the bill.
| Behaviour | Codes | What to do |
|---|---|---|
| Never retry | 400, 401, 403, 404 | Deterministic. Fix the request, the key, the model name, or the account state. Surface the error immediately. |
| Retry with backoff | 422, 429 | Transient. Exponential backoff with jitter, honor retry-after, cap at four or five attempts. |
| Fail over | 500, 502, 503, 504 | Together AI-side. Route to your backup provider on the second consecutive failure rather than queueing requests behind an outage. |
Error Handling That Distinguishes All Three
One handler, three behaviours. The important line is the one that does not retry.
const FATAL = new Set([400, 401, 403, 404]);
async function callTogetherAi(body, attempt = 0) {
const res = await fetch('https://api.together.xyz/v1/chat/completions', {
method: 'POST',
headers: { 'Authorization': `Bearer ${process.env.TOGETHER_API_KEY}`, 'Content-Type': 'application/json' },
body: JSON.stringify(body),
});
if (res.ok) return res.json();
// Log the body once — it names the failing field on every 4xx
const detail = await res.text();
if (FATAL.has(res.status)) {
throw new Error(`Together AI error ${res.status} (not retryable): ${detail}`);
}
if (res.status >= 500) {
// Together AI-side: fail over rather than queue behind an outage
if (attempt >= 1) return callFallbackProvider(body);
}
if (attempt >= 4) throw new Error(`Together AI failed after retries: ${detail}`);
const retryAfter = Number(res.headers.get('retry-after')) || 0;
const backoff = retryAfter * 1000 || (2 ** attempt) * 500 + Math.random() * 500;
await new Promise((r) => setTimeout(r, backoff));
return callTogetherAi(body, attempt + 1);
}Note the fallback triggers on the second 5xx, not the first. A single 500 is often a one-off on a single host; two in a row is an incident, and that is the point where switching providers beats waiting.
Keep Provider Keys Rotatable
Testing a second key is the fastest way to prove a 401 or 429 is yours rather than theirs. Store and rotate provider credentials properly instead of pasting them into env files.
Try 1Password Free →Your Error or Theirs? A 60-Second Check
- Read the status class. 4xx is you, 5xx is Together AI. Nothing else in this list matters if you skip this step.
- Log the response body. Together AI names the offending field or model in the message — the status code alone is rarely enough.
- Try a second API key. If a different key on a different account works, the problem is your account state or quota.
- Try a different model. A working sibling model rules out an infrastructure-wide incident and points at naming, context length, or per-model capacity.
- Check status.together.ai and live Together AI monitoring for a confirmed incident before rolling back your own deploy.
For the outage-side playbook, see our Is Together AI Down? guide. For quota specifically, the Together AI rate limit guide covers headers and tier ceilings in depth.
Where to Send Traffic When Together AI Returns 5xx
Fallbacks only help if they are configured before the incident. Each of these runs on independent infrastructure and an independent quota pool, so a Together AI 503 does not follow you there.
Groq
Independent infrastructure and quota pool. Route overflow here when Together AI returns 5xx.
Check Groq status →Mistral
Independent infrastructure and quota pool. Route overflow here when Together AI returns 5xx.
Check Mistral status →OpenAI
Independent infrastructure and quota pool. Route overflow here when Together AI returns 5xx.
Check OpenAI status →Frequently Asked Questions
What do Together AI API error codes mean?
Together AI returns 400 for malformed or over-context requests, 401 for a bad key, 403 for a model your key cannot access, 404 for a model name that is not hosted, 422 for rejected parameter combinations, 429 for either account rate limits or model overload, and 5xx for Together-side faults including ModelOverloadedError on 503. The message body matters as much as the status code because 429 covers two distinct causes.
What does ModelOverloadedError mean on Together AI?
It means the shared capacity pool for that specific model is saturated — not that your key is over quota and not that Together AI is down. Switching to another size or a Turbo variant in the same model family usually succeeds immediately, which is why model-level failover beats backoff for this error.
Why does Together AI return 404 for a model that exists?
Together AI uses full repo-style model identifiers where capitalization, the organization prefix and suffixes such as -Turbo or -Instruct are all significant. A single character off returns 404 model_not_available. Copy the identifier verbatim from GET /v1/models rather than typing it, and treat a 404 as a naming bug rather than an outage.
Is a Together AI 429 my quota or their capacity?
Both use 429, so you have to read the body. A rate-limit message means your account ceiling and calls for exponential backoff with jitter. An overload message means the shared model pool, and the right move is to reroute to a different model variant immediately.
Which Together AI errors should I retry?
Retry 429, 500, 502, 503 and 504 with capped exponential backoff, and pair the retry with a model-variant fallback so overload errors reroute instead of waiting. Do not retry 400, 401, 403, 404 or 422 — they are deterministic and will fail identically every time.
Related Together AI Guides
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