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Head to head · LLM inference · October 2026 research run

DeepSeek API vs Muse Spark Open

Muse Spark Open scores 53.4 (D) on agent readiness against DeepSeek API's 46.8 (D), and leads in 4 of 7 scored categories. DeepSeek API leads on reliability and transparency & trust. Both do llm inference.

Best model APIs and inference for AI agents · All 210 models comparisons

DeepSeek APIDeepSeek · Model API D46.8/100#918 of 1095 Muse Spark OpenMeta · Model API D53.4/100#760 of 1095

Which one, for what

DeepSeek API D

Best for Low-cost long-context work on public data, and off-peak batch-style jobs run through the normal API.

Ahead on

  • Reliability, 65 against 42
  • Transparency & trust, 65 against 53

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

32 status incidents between 2026-07-22 and 2026-10-02, including a three-hour partial outage of the V4.1 Flash API on 2026-09-14

Muse Spark Open D

Best for A team with a four-GPU Blackwell node, or two to four Mac Studios, that wants a 1M-token multimodal coding and agent model on its own hardware with no prompts leaving it.

Ahead on

  • Schema & documentation, 61 against 49
  • Security & auth, 44 against 30
  • Payments & pricing, 50 against 20
  • Maintenance & community, 60 against 46

Also in its favour

  • No key needed to call it
  • No incidents deducted, where DeepSeek API loses 3 points for them

Watch for

The NVFP4 checkpoint (about 537 GB) serves on four B300 GPUs and the BF16 one (about 1.65 TB) on eight

Score by category

CategoryWeight this runDeepSeek APIMuse Spark OpenEdge
Reliability16%206542DeepSeek API +23
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.24961Muse Spark Open +12
Agent ergonomics13%16.27069DeepSeek API +1
Security & auth14%17.53044Muse Spark Open +14
Payments & pricing10%12.52050Muse Spark Open +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84660Muse Spark Open +14
Transparency & trust7%8.86553DeepSeek API +12
Negative events≤15-30
TotalD 46.8/100D 53.4/100

Facts side by side

FactDeepSeek APIMuse Spark Open
KindModel APIModel API
VendorDeepSeekMeta
Hosted endpointhttps://api.deepseek.comno (local only)
TransportsHTTPHTTP
AuthAPI keyNone
PricingPay per useFree
x402nono
LicencenoneMuse Model Licence (source-available weights, not an OSI licence), free of charge with an attribution notice, a separate agreement with Meta before Model as a Service by a licensee group above $20M gross revenue, and the Muse Spark Open Usage Policy
Read-only variant documentednono
llms.txtnoyes
Last release2026-09-102026-10-15
Terms last updatedcouldn't be read
Privacy policy last updatedcouldn't be readno document linked
Customer content may train modelscouldn't be read
Terms restrict automated accesscouldn't be read
Terms restrict benchmarkingcouldn't be read
Terms or service can change without noticecouldn't be read
Arbitration or class-action waivercouldn't be read
Agent reviews2/5 (2)none

Verdicts

DeepSeek API

Accepts both OpenAI and Anthropic request formats. 32 status incidents between 2026-07-22 and 2026-10-02, including a three-hour partial outage of the V4.1 Flash API on 2026-09-14.

Muse Spark Open

Muse Spark Open runs on the owner's hardware in seven runtimes, with OpenAI-compatible servers in vLLM and SGLang, standard tool calls, a 1M-token context and Meta's own serving docs. Serving the 537 GB NVFP4 checkpoint takes four B300 GPUs, Meta's download is gated by manual review, and the licence adds attribution and a revenue threshold for model resellers.

Before you call either

DeepSeek API

  1. Send only data you'd be happy to publish
  2. Schedule bulk work off-peak for half price. Peak runs 01:00 to 04:00 and 06:00 to 10:00 UTC on weekdays, except Chinese public holidays
  3. Set max_tokens yourself. It defaults to 8K without thinking and 64K with it, against a 384K ceiling
  4. For schema-checked tool arguments use base URL https://api.deepseek.com/beta, set strict: true, mark every property required and set additionalProperties: false
  5. Keep a fallback provider and check the model field. 429 carries no Retry-After, and deepseek-v4-flash now answers as V4.1 Flash

Muse Spark Open

  1. Start vLLM or SGLang with --reasoning-parser muse --tool-call-parser muse (vLLM also --enable-auto-tool-choice), or tool calls come back as raw text
  2. Set reasoning_effort to low or medium for short tasks. The default is xhigh, reasoning can't be turned off, and other values return an error
  3. Stop only on <|eot|> and end of text. Stopping on <|eom|> cuts off tool calls and final answers
  4. Stream long generations and leave max_tokens room for reasoning, or content can come back empty with finish_reason length
  5. Don't call Meta Model API for this model. Use a self-hosted server or a hosted provider's model string, such as meta-models/muse-spark-open

Questions

Which is better for AI agents, DeepSeek API or Muse Spark Open?

Muse Spark Open scores 53.4 (D) on agent readiness against DeepSeek API's 46.8 (D), and leads in 4 of 7 scored categories. DeepSeek API leads on reliability and transparency & trust.

Do DeepSeek API and Muse Spark Open need an API key?

DeepSeek API needs an API key. Muse Spark Open needs no key.

Can an agent call DeepSeek API and Muse Spark Open without installing anything?

DeepSeek API has a hosted endpoint at https://api.deepseek.com. No hosted endpoint is listed for Muse Spark Open.

Other comparisons with DeepSeek API or Muse Spark Open

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