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fireworks.ai · 2 records in Compute, Inference · JSON

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docs.fireworks.ai/fine-tuning/training-api/cookbook/muse-gliInference APIcompute/fireworks-ai-museJSONcomparereport an error

Free allowance
A free first LoRA fine-tune with no card: 'Muse Glimmer 30B SFT is free via UI and Serverless Training API until 11/30.
Verdict
triala time-boxed or one-time trial, not a recurring allowance
Cost
free tier
Identity
emailno card, phone unknown
Binding limit
retention-clampedthe 2026-11-30 window binds, not a quota: there is no published cap on the number of free LoRA SFT jobs inside the window, and the day the window closes the same job is refused unless it is run with --allow-paid.
Evidence
documented27 sources; a first-party page was read and the sentence quoted
Freshness
stale on 2026-12-04checked 2026-11-03 (live); stale on 2026-12-04
Free tierA free first LoRA fine-tune with no card: 'Muse Glimmer 30B SFT is free via UI and Serverless Training API until 11/30. No credit card required.' The promotion applies to LoRA SFT jobs started before 2026-12-01T00:00:00-08:00 and covers training only: 'RL, DPO, full-parameter training, deployments, and inference outside the training run are not covered.' In-session evaluation sampling is billed at the published per-token rates.
unit none; metered on wall-clock; promotional-window
Pricenone stated
Limits
  • retention-clamped (binding) the 2026-11-30 window binds, not a quota: there is no published cap on the number of free LoRA SFT jobs inside the window, and the day the window closes the same job is refused unless it is run with --allow-paid. source
  • request-rate 10 requests per minute account-wide while the account has no payment method or no credits; with a payment method and active credits the ceiling is 6,000 requests per minute. The cap is one envelope shared by every model and every API, not a per-model request limit; requests above it are rejected (for example HTTP 429). source
  • request-rate serverless limits per model are tokens per minute, not requests: three adaptive meters (total prompt, uncached prompt and generated TPM) start at an unpublished default and rise 25% at most once every 15 minutes toward a ceiling set by model size and spend tier. The published ceilings (for a model under 800B parameters: 216M total prompt, 54M uncached prompt and 2.16M generated TPM) apply at Tier 3 and above; an account with no payment method is below Tier 1 (which needs a valid payment method), and no page publishes its starting default or its ceiling (unverified: not published). source
  • request-rate concurrency, not a rate: the Serverless Training API allows 8 active runs per account by default (account overrides may differ); some pool models also cap active runs per account on that base model, with managed fine-tuning jobs on it counting toward the cap, and a run over either cap fails with RESOURCE_EXHAUSTED. source
Identityemail the account-creation form asks for an email address, or a Google, GitHub or LinkedIn sign-in, at its first step ('Create Account Email Next OR Sign up with GoogleSign up with GitHubSign up with LinkedIn'); what the steps after it ask, a phone check among them, is unverified: behind a sign-up. No card on the free training path (the promotion states 'No credit card required'). Serverless inference outside the promotion needs a payment method and bought credits; debit and prepaid card acceptance are not stated.
Egressnot stated
Retentionthe 2026-11-30 window binds, not a quota: there is no published cap on the number of free LoRA SFT jobs inside the window, and the day the window closes the same job is refused unless it is run with --allow-paid.
Interfacerest HTTPS REST: the Serverless Training API endpoint is https://api.fireworks.ai/training/v1/serverless, reached through the Python SDK; documented, not probed
Toolingthe provider documents the Python SDK (pip install "fireworks-ai[training]"), the firectl CLI, the fw-ai/cookbook training examples and the dashboard UI
Composes withit composes with hosted inference lanes: train the LoRA adapter here inside the promotion window, download it with firectl model download, and serve it on a hosted lane that accepts a LoRA adapter on the same base. On Fireworks itself a trained LoRA can only be deployed to an on-demand (dedicated) deployment, which the promotion does not cover; serverless deployment of LoRA models is not supported. The adapter needs the exact base it was trained on, and whether the Muse Glimmer base weights can also be downloaded is not stated (unverified).
Reliabilityan account that finishes its $1 credit with no payment method is suspended until a payment method is added; with credits exhausted and Auto Reload off, usage pauses until credits are added.
NotesWhat is free here is the training loop, not tokens. Serverless inference carries no advertised signup credit: the pricing page reads 'Simply add a payment method to buy credits, and usage is then deducted from your balance.' The credits FAQ page still describes a '$1 starter credit' in its description and heading, but no first-party page read states that a new account is granted it at sign-up; whether a new account holds a starting balance is unverified: behind a sign-up. The promotion names one base model and excludes RL, DPO, full-parameter training, deployments and inference outside the training run, so it is not a general free-training lane. No cap on the number of free jobs is published; the concurrency cap is in limits.
Parsed numbers
  • has-free-tier 1
  • request-rate 10 requests / minute
  • request-rate 15 minutes
Evidence 27
datesourcewhat it proved
2026-10-22docs.fireworks.ai/fine-tuning/training-api/cookbook/muse-gli'Muse Glimmer 30B SFT is free via UI and Serverless Training API until 11/30. No credit card required.', quoted
2026-10-22docs.fireworks.ai/fine-tuning/training-api/cookbook/muse-gli'applies the promotion to LoRA SFT jobs started before 2026-12-01T00:00:00-08:00 and refuses to launch after that unless you pass --allow-paid. RL, DPO, full-parameter training, deployments, and inference outside the training run are not covered', quoted
2026-10-22docs.fireworks.ai/fine-tuning/training-api/cookbook/muse-gli'The promotion covers training. In-session evaluation sampling is priced separately at the published per-token rates; the default run samples 80 answers.', quoted
2026-10-22fireworks.ai/pricing'Simply add a payment method to buy credits' for the general platform; the free credit line is gone from the pricing page, quoted
2026-10-30docs.fireworks.ai/guides/quotas_usage/account-quotasan account with no payment method or no credits is held to 10 requests per minute, account-wide
2026-10-30docs.fireworks.ai/serverless/rate-limitsper-model serverless ceilings are published only for Tier 3 and above; lower tiers have unpublished lower ceilings
2026-10-30docs.fireworks.ai/fine-tuning/training-api/serverlessthe Serverless Training API holds an account to 8 active runs by default
2026-10-30docs.fireworks.ai/faq-new/billing-pricing/what-happens-when-an account that finishes its $1 credit with no payment method is suspended until one is added
2026-10-30app.fireworks.ai/signupthe account-creation form asks for an email address or a Google, GitHub or LinkedIn sign-in at its first step
2026-10-30fireworks.ai/pricingserverless inference is prepaid from credits bought after a payment method is added; the page advertises no signup credit
2026-10-30docs.fireworks.ai/fine-tuning/deploying-lorastrained LoRA weights can be downloaded and served outside Fireworks
2026-10-30docs.fireworks.ai/fine-tuning/training-api/serverlessthe provider documents a Python SDK for the Serverless Training API
2026-10-30docs.fireworks.ai/fine-tuning/training-api/serverlessthe Serverless Training API is an HTTPS endpoint reached through the Python SDK
2026-10-30fireworks.ai/pricingthe pricing page still offers free Muse Glimmer 30B SFT with no card until 11/30
2026-10-30docs.fireworks.ai/fine-tuning/modelsthe models page dates the end of the free Muse Glimmer 30B SFT window to November 30, 2026
2026-10-30github.com/fw-ai/cookbook/blob/main/skills/fireworks-trainintraining job creation otherwise needs a payment method; the Muse Glimmer promotion is the stated no-card exception
2026-10-30docs.fireworks.ai/guides/quotas_usage/account-quotasthe default training GPU quota of an account with no payment method is 0 GPUs
2026-10-30docs.fireworks.ai/faq-new/billing-pricing/how-does-billing-aplatform usage is paid from credits bought after a payment method and billing address are added
2026-10-30fireworks.ai/startupsserverless inference starts after a payment method and credits are added
2026-10-30www.usagepricing.com/blueprint/activity/fireworks-ai-2026-10a third party reports the pricing page dropped its $1 free-credit line between its 2026-09-20 and 2026-10-22 captures
2026-10-30web.archive.org/web/20260915000000/https://fireworks.ai/pricthe 2026-09-15 Wayback copy of the pricing page offered $1 in free credits with postpaid billing; the live page of 2026-10-30 no longer does
2026-10-30docs.fireworks.ai/fine-tuning/training-api/cookbook/muse-glithe free LoRA SFT window still covers jobs started before 2026-12-01T00:00:00-08:00 and the starter refuses later jobs without --allow-paid
2026-11-03docs.fireworks.ai/faq-new/billing-pricing/what-happens-when-the credits FAQ page still calls the credit a $1 starter credit, but states no sign-up grant
2026-11-03docs.fireworks.ai/serverless/rate-limitsceilings below Tier 3 are lower and not tabulated
2026-11-03docs.fireworks.ai/serverless/rate-limitsthe starting TPM default is named but its value is not published
2026-11-03docs.fireworks.ai/guides/quotas_usage/account-quotasTier 1 is the first spend tier and needs a valid payment method, so an account with none is below Tier 1
2026-11-03docs.fireworks.ai/faq-new/billing-pricing/what-happens-when-part of the text of Reliability, above
More fields 1
facets{"class": "promotional-window","free_tier_kind": "promotional-window","shape": {"vcpu": null,"ram_gib": null,"gpu_class": null,"gpu_count": 1}}
Unknown values 3
  • egress metered: egress metering was not published
  • egress terms: a source was read and is silent on this field
  • per object cap stated: the field does not apply to this kind of offer

Fireworks AI

Inference

docs.fireworks.ai/guides/quotas_usage/account-quotasInference API, prepaid creditsinference/fireworks-ai-serverlessJSONcomparereport an error

Free allowance
No free token allowance is advertised: serverless inference is prepaid, with credits bought after a payment method is added.
Verdict
paidno free allowance; listed for its price
Cost
no price stated
Identity
cardcard required, phone unknown
Binding limit
request-rate10 requests per minute account-wide while the account has no payment method or no credits; 6,000 requests per minute maximum with a payment method and active credits. The cap is fixed, shared by every model and every API, and requests...
Evidence
documented10 sources; a first-party page was read and the sentence quoted
Freshness
stale on 2026-12-04checked 2026-11-03 (live); stale on 2026-12-04
Free tierno free token allowance is advertised: serverless inference is prepaid, with credits bought after a payment method is added. Without a payment method or credits the account is held to 10 requests per minute account-wide; a $1 starter credit is mentioned in the credits FAQ, but whether a new account still receives one is unverified: behind a sign-up.
unit none; metered on none; the pricing page of 2026-11-03 prints no signup credit; the credits FAQ still carries a '$1 starter credit' heading
Pricenone stated
Limits
  • request-rate (binding) 10 requests per minute account-wide while the account has no payment method or no credits; 6,000 requests per minute maximum with a payment method and active credits. The cap is fixed, shared by every model and every API, and requests above it are rejected (for example HTTP 429). source
  • request-rate (binding) serverless token limits are per model and adaptive (total prompt, uncached prompt and generated tokens per minute); the published ceilings are the Tier 3 maximum, and tiers below Tier 3 have lower, unpublished ceilings source
  • volume-quota a monthly spend limit can be set; when usage reaches 100% of it all API requests pause until it is raised source
Bindingrequest-rate the account-wide request cap binds first: 10 RPM without a payment method or credits, 6,000 RPM with both; tokens are paid from prepaid credits, not granted free.
Identitycard an email address or a Google, GitHub or LinkedIn sign-in creates the account, but the 10 RPM state ends only after a valid payment method and billing address are added and credits are bought; an account that finishes its $1 starter credit with no payment method is suspended. Whether the sign-up asks for a phone number is unverified: behind a sign-up. Debit and prepaid card acceptance are not stated.
Egressnot published
Interfacerest OpenAI-compatible chat completions at https://api.fireworks.ai/inference/v1; an Anthropic-compatible endpoint at https://api.fireworks.ai/inference is also documented; documented, not…
Toolingthe Fireworks Python SDK, the OpenAI SDK or the Anthropic SDK pointed at the Fireworks base URL, or curl; the firectl CLI shows quotas ('firectl quota list')
Composes withhosted lanes only: the same prepaid balance pays for serverless, on-demand deployments and training; the 6,000 RPM cap is one envelope shared by all of them
Reliabilityan account that finishes its $1 starter credit with no payment method is suspended until one is added; with credits exhausted and Auto Reload off, usage pauses until credits are added.
Notesper-token prices (USD per 1M tokens) are published on the serverless pricing page; the 10 RPM lane is not a usable free tier, because no free credit is advertised and an account with no payment method that spends its starter credit is suspended.
Evidence notedocumented the 10 RPM and 6,000 RPM request limits, the prepaid-credits model and the payment-method requirement are quoted from vendor pages; the starter credit and the sign-up steps after the first are unverified: behind a sign-up.
Parsed numbers
  • has-free-tier 0
  • request-rate 10 requests / minute
Evidence 10
datesourcewhat it proved
2026-11-03docs.fireworks.ai/guides/quotas_usage/account-quotasan account with no payment method or no credits is held to 10 requests per minute, account-wide
2026-11-03docs.fireworks.ai/guides/quotas_usage/account-quotasan account with a payment method and active credits is held to a 6,000 requests per minute maximum
2026-11-03docs.fireworks.ai/guides/quotas_usage/account-quotasthe 6,000 RPM ceiling is one fixed account-wide cap, not a serverless-only or adaptive limit
2026-11-03fireworks.ai/pricingserverless inference is prepaid: a payment method is added first, credits are bought, and usage is deducted from the balance
2026-11-03docs.fireworks.ai/faq-new/billing-pricing/how-does-billing-acredits are bought after a valid payment method and billing address are added
2026-11-03docs.fireworks.ai/faq-new/billing-pricing/what-happens-when-part of the text of Reliability, above
2026-11-03app.fireworks.ai/signupthe account-creation form offers an email address or a Google, GitHub or LinkedIn sign-in at its first step
2026-11-03docs.fireworks.ai/getting-started/quickstartthe serverless endpoint is an OpenAI-compatible base URL
2026-11-03docs.fireworks.ai/serverless/rate-limitsthe published per-model serverless token ceilings are the Tier 3 maximum; lower tiers have lower unpublished ceilings
2026-11-03docs.fireworks.ai/guides/quotas_usage/account-quotasa monthly spend limit pauses all API requests when reached
Unknown values 3
  • egress metered: egress metering was not published
  • per object cap stated: the field does not apply to this kind of offer
  • retention stated: the field does not apply to this kind of offer