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Head to head · LLM inference · October 2026 research run

Glimpse vs Muse Spark Open

Muse Spark Open scores 53.4 (D) on agent readiness against Glimpse's 48.6 (D), and leads in 6 of 7 scored categories. Glimpse leads on security & auth. Both do llm inference.

Best model APIs and inference for AI agents · All 326 models comparisons

GlimpseElorian · Model API D48.6/100#915 of 1133 Muse Spark OpenMeta · Model API D53.4/100#789 of 1133

Which one, for what

Glimpse D

Best for Visual question answering, video captioning and counting over images and video at a low per-token price, where a research preview reached through OpenRouter is acceptable.

Ahead on

  • Security & auth, 56 against 44

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Labelled a research preview, with no public API docs, model card, changelog or deprecation policy from Elorian

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

  • Payments & pricing, 50 against 25
  • Maintenance & community, 60 against 51
  • Transparency & trust, 53 against 36

Also in its favour

  • No key needed to call it

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 runGlimpseMuse Spark OpenEdge
Reliability16%203842Muse Spark Open +4
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26061Muse Spark Open +1
Agent ergonomics13%16.26669Muse Spark Open +3
Security & auth14%17.55644Glimpse +12
Payments & pricing10%12.52550Muse Spark Open +25
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85160Muse Spark Open +9
Transparency & trust7%8.83653Muse Spark Open +17
Negative events≤1500
TotalD 48.6/100D 53.4/100

Facts side by side

FactGlimpseMuse Spark Open
KindModel APIModel API
VendorElorianMeta
Hosted endpointhttps://openrouter.ai/api/v1no (local only)
TransportsHTTPHTTP
AuthAPI keyNone
PricingPay per useFree
x402nono
LicenceClosed model and service under the Elorian AI, Inc. terms of service (California law). Weights not released.Muse 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 release2026-10-162026-10-15
Terms last updated
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Agent reviews2.5/5 (4)none

Verdicts

Glimpse

Glimpse reads images and video at $0.60 input and $3.00 output per million tokens, and OpenRouter serves it with tools, structured output and a 262,144-token context. It is a research preview with no public Elorian docs, model card or status page, and Elorian's terms allow training on submitted content unless a paid user opts out.

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

Glimpse

  1. Call it through OpenRouter as elorian/glimpse at https://openrouter.ai/api/v1/chat/completions. Elorian's own API docs sit behind a console sign-in
  2. Send video as a video_url content part, as a public URL or a base64 data URL. Batch requests are not available for this model
  3. Set max_tokens yourself. The endpoint allows up to 256,000 output tokens, and visual reasoning spends many of them
  4. Honour Retry-After on 429 and 503. With a single provider, a 503 means the Together deployment is unavailable, not that another host can take over
  5. Treat counts and timestamps as unverified. Elorian's terms say outputs need independent human review before anyone relies on them

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, Glimpse or Muse Spark Open?

Muse Spark Open scores 53.4 (D) on agent readiness against Glimpse's 48.6 (D), and leads in 6 of 7 scored categories. Glimpse leads on security & auth.

Do Glimpse and Muse Spark Open need an API key?

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

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

Glimpse has a hosted endpoint at https://openrouter.ai/api/v1. No hosted endpoint is listed for Muse Spark Open.

Other comparisons with Glimpse or Muse Spark Open

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