Head to head · LLM inference · October 2026 research run

Muse Ember vs Novita AI

Novita AI scores 53.9 (D) on agent readiness against Muse Ember's 51.8 (D), and leads in 5 of 7 scored categories. Muse Ember leads on reliability. Both do llm inference.

Best model APIs and inference for AI agents · All 871 models comparisons

Which one, for what

Muse Ember D

Best for Agents that hand out many small, bounded tasks (sub-agents, tool loops, routing, extraction over thousands of files) and want a cheap multimodal model with a 1M context behind the same API as a bigger Muse model.

Ahead on

  • Reliability, 40 against 28

Watch for

No weights and no parameter count published, so it can't be run locally

Novita AI D

Best for Agents that want many open-weight models at per-token prices behind one OpenAI-style key, with keys that can be limited by model, IP and expiry.

Ahead on

  • Payments & pricing, 35 against 20
  • Maintenance & community, 66 against 46

Watch for

No status page or SLA was found on the home page, the docs index or the docs site map. The home page states 99.5% uptime with no supporting document

Why the edge

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

Maintenance & community Novita AI +20

Muse Ember 46

Model reading. Released 9 November 2026 (30). No deprecation policy or notice period found, per the platform reading (0 of 12). Dated launches on the API, the latest Muse Wonder on 12 October and Muse Ember on 9 November (8 of 8). No Model API changelog; a help centre with tickets (8 of 15). No SDK of Meta's own (0 of 15, 0 of 10). 30 + 0 + 8 + 8 + 0 = 46.

Novita AI 66

Model reading. Changelog entries per the 27 October reading of each entry page, not re-read on 4 November because Novita's terms bar automated access to the site and its linked channels. The newest entry is dated 22 October 2026 (30). Retirement notices carry a UTC time and a replacement, with notice of 1 day (22 October for xiaomimimo/mimo-v2.5 at 00:00 UTC on 23 October) to 29 days (1 September for multimodal models on 30 September). No written notice period was found (6 of 12). Nine dated entries in the 90 days from 6 August (1, 8, 18, 20, 23 and 28 September, 15, 19 and 22 October), each read on its own page (8 of 8). A dated changelog, a Discord server and a support address per the 9 October check (12 of 15). novitalabs/python-sdk and novitalabs/javascript-sdk are archived, unchanged since 8 November 2024 and 4 March 2025, and issue replies were not examined (2 of 10). The docs rely on the OpenAI client, the SDK page still named the two archived packages on 9 October, and the skill repository is unchanged since 24 September 2026 (5 of 15). The JavaScript SDK repository has a publish workflow only and the Python one has none (3 of 10). 30 + 6 + 8 + 12 + 2 + 5 + 3 = 66.

Payments & pricing Novita AI +15

Muse Ember 20

Published rubric. No payment protocol (0). Per-token prices for both tiers published without a login, read 9 November (20). No free API allowance found; billing needs a card, per the platform reading (0). Browser sign-up (0). 0 + 20 + 0 + 0 = 20.

Novita AI 35

No machine payment protocol was found in the docs index, the site map, the pricing page or the skill repository (0). Per-token prices for each model on the pricing page without a login, such as deepseek/deepseek-v4.1-flash at $0.30 in and $1.20 out per 1M tokens (20). Two language models are listed as free and the FAQ describes a voucher for new users. Whether a card is needed to use either was not stated in the pages read (15 of 20). A person signs up in a browser, keys are created only in the console, and the OAuth route needs the user to sign in and approve (0). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.

Reliability Muse Ember +12

Muse Ember 40

Model reading, for the surface it's called on, Meta Model API. No status page with readable history, per the meta-model-api listing's 4 November check (0), so no readable incident history (5). Rate limits published per team and per model, 3,000 RPM and 4,000,000 TPM for muse-ember-1.0, read 9 November (15). 429 and 503 with Retry-After, backoff guidance and rate-limit headers, per the meta-model-api listing (15). No SLA found (0). Muse Ember carries no preview label, but the API opened as a public preview in July and no general-availability notice was found, so half, as for the platform (5). 0 + 5 + 15 + 15 + 0 + 5 = 40.

Novita AI 28

Hosted reading. No status page was found. None is linked from the home page, the pricing page, the docs introduction, either llms.txt or the docs site map (0), so there is no incident record to read (0). The rate limit page documents five account tiers set by monthly top-ups, from under $50 to $10,000 and over, and limits counted in RPM and TPM per model. The figures per model are drawn by script and were not readable, so this line takes part marks (8 of 15). 429 with RATE_LIMIT_EXCEEDED or TOKEN_LIMIT_EXCEEDED, advice to throttle and use exponential backoff, and a billing page that says 429, 500, 503 and 504 are not charged. No Retry-After header was found (10 of 15). No SLA was found. The home page states 99.5% uptime, and the terms say availability is not guaranteed (0). Generally available (10). Per the 9 October check, not re-read on 4 November, as the terms bar automated access to the site and docs.

Score by category

CategoryWeight this runMuse EmberNovita AIEdge
Reliability16%204028Muse Ember +12
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26062Novita AI +2
Agent ergonomics13%16.27272even
Security & auth14%17.56465Novita AI +1
Payments & pricing10%12.52035Novita AI +15
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84666Novita AI +20
Transparency & trust7%8.85357Novita AI +4
Negative events≤1500
TotalD 51.8/100D 53.9/100

Facts side by side

FactMuse EmberNovita AI
KindModel APIModel API
VendorMetaNovita AI
Hosted endpointhttps://api.meta.ai/v1https://api.novita.ai/openai
TransportsHTTP
AuthAPI keyAPI key
PricingPay per usePay per use
x402nono
LicenceClosed model, used through Meta Model API and Muse Code under the Meta Model API Terms of Service (last updated 9 October 2026). No open weights; Meta's open-weight models are Muse Spark Open and Muse GlimmerProprietary service under the Novita AI Terms of Service. The agent skill and the MCP server are MIT
Read-only variant documentednono
llms.txtyesyes
Last release2026-11-092026-10-22
Terms last updated2026-10-022026-08-05
Privacy policy last updatedcouldn't be read2026-05-13
Customer content may train modelsyesnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waiveryesyes
Popularitynone6 stars, 1.4k npm/wk

How the scores have moved

Verdicts

Muse Ember

A cheap, capable model for the repeated parts of agent work, at $0.10 and $0.50 per million tokens with a 1M context and Meta's figures putting it level with Claude Haiku 5.5 on fewer tokens. Launched today on an API with no readable status page, SLA or deprecation policy, and closed, with no weights.

Novita AI

Per-token prices for about 140 language models are public, and each key can carry an expiry, a model allowlist and a source IP allowlist. No status page, SLA or security.txt was found, the per-model rate limit figures are drawn by script, and both vendor SDK repositories are archived while the docs still point to them.

Before you call either

Muse Ember

  1. Call https://api.meta.ai/v1/responses (or /chat/completions or /messages) with model muse-ember-1.0 and a bearer MODEL_API_KEY
  2. Set the effort explicitly, reasoning.effort on Responses or reasoning_effort on Chat Completions. It defaults to max, and none isn't accepted; minimal or low suits classification and routing
  3. Keep input under 200K tokens a request, cached tokens and previous_response_id history included, or the whole request bills at the long-context rate
  4. Use it for sub-agents and bounded repeated tasks, and a larger Muse model for the plan, as Meta advises
  5. Use strict structured output for extraction and routing steps
  6. In Claude Code, map the haiku alias and sub-agent model to muse-ember-1.0, per Meta's guide

Novita AI

  1. Set the OpenAI client base URL to https://api.novita.ai/openai and send the key as Authorization: Bearer. Keys start with sk_
  2. Do not close a connection to stop generation. A request that reached the model is billed in full under status 499, so cap output with max_tokens
  3. On 429, check whether the code is RATE_LIMIT_EXCEEDED or TOKEN_LIMIT_EXCEEDED and back off exponentially. No Retry-After header is documented
  4. Read the changelog for retirement notices before pinning a model id. One retirement in October 2026 came with 11 days' notice
  5. Ask the account owner for a key with an expiry, a model access policy and an IP allowlist. Keys are created and deleted only in the console

Questions

Which is better for AI agents, Muse Ember or Novita AI?

Novita AI scores 53.9 (D) on agent readiness against Muse Ember's 51.8 (D), and leads in 5 of 7 scored categories. Muse Ember leads on reliability.

Do Muse Ember and Novita AI need an API key?

Both need an API key.

Can an agent call Muse Ember and Novita AI without installing anything?

Yes. Muse Ember has a hosted endpoint at https://api.meta.ai/v1 and Novita AI at https://api.novita.ai/openai.

Other comparisons with Muse Ember or Novita AI

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