Cerebras API Pricing, Models & Rate Limits (2026)
Cerebras hosts other labs' open-weight models — gpt-oss-120b and Z.ai's GLM 4.7 — on its wafer-scale inference hardware. Like Groq, the product is speed, not training; Cerebras' wafer-scale engine is the fastest hosting option on this site for the models it serves.
How much does the Cerebras API cost?
Cerebras API pricing is usage-based and varies by model and token volume. Use the current model table and provider documentation to estimate a workload before committing to production.
For cross-provider quota units and fixed-workload capacity, see the LLM API rate-limit comparison; this page remains the authoritative owner for Cerebras provider facts.
Cerebras product vs API
Cerebras consumer access and API billing are separate surfaces; check the provider documentation for current account terms.
Three decisions unique to Cerebras
Cerebras current-model price mechanics
| Current model | Input | Cached input | Output | Batch | Verified |
|---|
| GPT-OSS 120B (Cerebras) | $0.350/M | Unavailable — no model cache rate | $0.750/M | Unavailable | 2026-06-14 |
|---|
| GLM 4.7 (Cerebras) | $2.250/M | Unavailable — no model cache rate | $2.750/M | Unavailable | 2026-06-14 |
|---|
Messages API vs OpenAI compatibility map
| Choice | Decision rule | Evidence |
|---|
| Billing | ChatGPT plan never includes API credits | Separate metered API account |
|---|
| Input/cached/output | Token prices are model rows | Use calculator for workload totals |
|---|
| Limits/auth | Per-model requests/minute and tokens/minute caps by tier · Bearer API key | Verify before production |
|---|
Adoption map: what is documented versus unavailable
| Dimension | Recorded value | Decision consequence |
|---|
Verified 2026-08-14. dated provider pricing/source →
Price range /M
$0.45–$2.38
Cerebras model pricing
Compare Cerebras models by input, output, and blended token cost below.
Pricing values are registry-backed and were most recently verified on 2026-06-14. Sources: https://www.cerebras.ai/pricing. Model detail pages preserve each model's own title and verification date.
* Blended comparison assumes 3 input tokens for every output token; it is not the provider's billing unit.
Speed
Best for
Build with Cerebras
Cerebras implementation details
Verified 2026-08-14 against source.
Cerebras publishes its current authentication, limits, and data-handling details in the linked documentation.
| OpenAI-compatible | Yes |
| API base URL | https://api.cerebras.ai/v1 |
| Auth model | Bearer API key |
| Prompt caching | Not documented |
| Batch discount | Not documented |
| Free tier | Free tier with a daily token cap |
| Free-tier limits | Free access is subject to a daily token cap and account quota. |
| Free-tier expiry | Not published |
| Rate-limit model | Per-model requests/minute and tokens/minute caps by tier |
| Data residency | US |
| Trains on API data | Not documented |
| SLA published | No |
Switching to and from Cerebras
The closest parity-aware alternative to
GLM 4.7 (Cerebras) ($2.38/M) outside Cerebras is
GLM-5.2 ($2.15/M, -9.5%) — a
config migration. Biggest gap: loses documented data-residency options.
Calling Cerebras through All AI Ask
curl https://allaiask.com/api/v1/chat \
-H "Authorization: Bearer $ALLAIASK_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "cerebras-gpt-oss-120b", "messages": [{"role": "user", "content": "Hello"}]}'FAQ
Is Cerebras OpenAI-compatible?
Yes — Cerebras's API base (https://api.cerebras.ai/v1) accepts the OpenAI SDK request/response shape, so existing OpenAI client code works with a base-URL and key swap.
Does Cerebras support prompt caching?
Not documented as of 2026-08-14 — we did not find a published prompt-caching feature for Cerebras. If that changes, this page updates.
Does Cerebras have a free tier?
Yes — Free tier with a daily token cap. Free access is subject to a daily token cap and account quota.
How much does the Cerebras API cost?
Current Cerebras models range from $0.45 to $2.38 per million blended tokens (3:1 input:output). Full per-model pricing is in the table below.
Where is Cerebras API data hosted?
US
Cerebras hosted identity, quota envelope, and claim-to-observation ledger
Batch 47 decision and evidence surface · verified 2026-08-14 · exact route allowlist match: /llm-providers/cerebras.
Cerebras hosted-identity register
Frozen Batch 47 cerebras fixture — Catalog rows, revisions, alternate hosts, precision, tokenizer, and lifecycle; first-party evidence checked 2026-08-14; unresolved joins render Unavailable.
Method: every calculation uses only the joined fields shown in its row; missing joins fail closed. First-party source: Cerebras Inference documentation. Verified: 2026-08-14.
| Fixture / field ID | Named inputs | Observation | Formula / boundary | Decision |
|---|
current catalog row
batch47-cerebras-m1-r1 | owner=Meta; endpoint ID=llama-3.3-70b; revision=alias; artifact=Unavailable; precision=Unavailable; lifecycle=current | Cerebras endpoint and owner join; precision and artifact visibility remain Unavailable. | identity complete = owner ∧ endpoint ID ∧ revision ∧ artifact ∧ precision ∧ tokenizer/template
Boundary: Catalog identity does not license result transfer from another host. | UNAVAILABLE — precision/artifact missing. |
frozen revision change + same-name alternate host
batch47-cerebras-m1-r2 | Cerebras revision=2026-08; alternate host revision=2026-07; model name=same; tokenizer=Unavailable; dependent fixtures=6 | Same name masks a revision mismatch; dependent fixtures remain host-specific. | transfer eligible = exact host ∧ revision ∧ tokenizer/template ∧ fixture join
Boundary: Cerebras evidence cannot stand in for Groq evidence. | FAIL — revision/host mismatch. |
owner update + undocumented precision
batch47-cerebras-m1-r3 | owner=Qwen; endpoint=joined; owner evidence=2026-08-14; precision=Unavailable; lifecycle=active; dependent workloads=9 | Owner update is dated; undocumented precision blocks a hardware-to-artifact inference. | result-transfer = 1 only when declared identity fields all join
Boundary: Hardware claim cannot fill a missing precision field. | UNAVAILABLE — precision remains unknown. |
Quota-and-token-envelope admission board
Frozen Batch 47 cerebras fixture — Account/model tier, request/token/time buckets, reserves, and scoped admission; first-party evidence checked 2026-08-14; unresolved joins render Unavailable.
Method: every calculation uses only the joined fields shown in its row; missing joins fail closed. First-party source: Cerebras Inference documentation. Verified: 2026-08-14.
| Fixture / field ID | Named inputs | Observation | Formula / boundary | Decision |
|---|
100 short chats
batch47-cerebras-m2-r1 | tier=free; model=joined; request cap=100; token cap=Unavailable; reserve=8K; admitted=100; deferred=0 | Request cap admits the declared 100; token cap remains unknown and does not become unlimited. | admitted = min(requests, documented request cap, documented token envelope)
Boundary: Free-tier evidence is not provider-wide paid-tier evidence. | PASS WITH UNAVAILABLE TOKEN CAP — scoped. |
eight 64K prompts + four long outputs
batch47-cerebras-m2-r2 | tier=paid; prompt reserve=512K; output reserve=32K; time bucket=Unavailable; admitted=Unavailable; retry=header | Prompt/output demand is explicit; time bucket prevents a closed admission count. | admitted count = Unavailable if any binding request/token/time bucket is missing
Boundary: One model’s cap cannot be generalized to every catalog row. | UNAVAILABLE — time bucket missing. |
16 concurrent strict extractions + retry wave
batch47-cerebras-m2-r3 | concurrency=16; schema=sha256:2f11; request cap=joined; retry wave=5; token cap=Unavailable; binding=unknown | Schema and request identity join; token cap remains the unresolved binding constraint. | binding constraint = min(request, token, time); unknown binding ⇒ Unavailable
Boundary: Retry count cannot convert an unknown token envelope into capacity. | UNAVAILABLE — token envelope unknown. |
Wafer-scale claim-to-observation ledger
Frozen Batch 47 cerebras fixture — Claim source/date separated from matched measurements and acceptance; first-party evidence checked 2026-08-14; unresolved joins render Unavailable.
Method: every calculation uses only the joined fields shown in its row; missing joins fail closed. First-party source: Cerebras Inference documentation. Verified: 2026-08-14.
| Fixture / field ID | Named inputs | Observation | Formula / boundary | Decision |
|---|
short answer + 4K generation
batch47-cerebras-m3-r1 | claim source=Cerebras docs; claim date=2026-08-14; endpoint/model/tier=joined; n=12; TTFT=71ms; generation=1,020 tok/s; accepted=12/12 | Matched measurements support this fixture only; claim and observation remain separate fields. | accepted coverage = 12/12 = 100%; useful time = queue + TTFT + generation
Boundary: Wafer-scale or advertised speed is not application success. | PASS — fixture-local observation. |
long-context synthesis + strict schema
batch47-cerebras-m3-r2 | context=96K; evidence shards=8; schema=sha256:7de2; queue=Unavailable; total=Unavailable; accepted=7/8; repair=1 | Seven artifacts pass; one requires manual repair and queue/total timing is missing. | acceptance coverage = 7/8 = 87.5%; repair count remains visible
Boundary: No total-time claim is emitted from missing queue evidence. | PASS WITH REPAIR — not full acceptance. |
three-tool loop + 64-request burst
batch47-cerebras-m3-r3 | tool IDs=3/3; concurrency=64; accepted=52; errors=12; retries=4; sample=64; observation window=2026-08-14 | Tool IDs join; burst coverage is 52/64 and errors/retries remain part of the result. | completion coverage = 52/64 = 81.25%; error rate = 12/64 = 18.75%
Boundary: Hardware or claim speed cannot erase application-level burst errors. | FAIL — burst decision boundary breached. |
Route owner CTA: test this decision path at All AI Ask. This surface does not transfer evidence to another host, model, region, tier, artifact, or scenario.
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