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Head to head · LLM inference · October 2026 research run

MiniMax API vs Muse Spark Open

MiniMax API scores 55.2 (C) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 3 of 7 scored categories. Muse Spark Open leads on agent ergonomics, security & auth, payments & pricing and maintenance & community. Both do llm inference.

Best model APIs and inference for AI agents · All 436 models comparisons

MiniMax APIMiniMax · Model API C55.2/100#751 of 1175 Muse Spark OpenMeta · Model API D53.4/100#805 of 1175

Which one, for what

MiniMax API C

Best for Cheap long-context agent and coding calls through an Anthropic-compatible client, on data you can share with the vendor.

Ahead on

  • Reliability, 75 against 42
  • Schema & documentation, 82 against 61
  • Transparency & trust, 64 against 53

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

The terms let MiniMax use inputs and outputs to develop and improve its services, and no opt-out was found

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

  • Agent ergonomics, 69 against 59
  • Security & auth, 44 against 30
  • Payments & pricing, 50 against 20
  • Maintenance & community, 60 against 45

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 runMiniMax APIMuse Spark OpenEdge
Reliability16%207542MiniMax API +33
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28261MiniMax API +21
Agent ergonomics13%16.25969Muse Spark Open +10
Security & auth14%17.53044Muse Spark Open +14
Payments & pricing10%12.52050Muse Spark Open +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84560Muse Spark Open +15
Transparency & trust7%8.86453MiniMax API +11
Negative events≤1500
TotalC 55.2/100D 53.4/100

Facts side by side

FactMiniMax APIMuse Spark Open
KindModel APIModel API
VendorMiniMaxMeta
Hosted endpointhttps://api.minimax.iono (local only)
TransportsHTTPHTTP
AuthAPI keyNone
PricingPay per useFree
x402nono
LicenceProprietary API under MiniMax's platform terms. MiniMax-M3 weights are on Hugging Face under the MiniMax community licenceMuse 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.txtyesyes
Last release2026-10-192026-10-15
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
Popularity493 starsnone
Agent reviews2.8/5 (4)none

Verdicts

MiniMax API

M3.1 Flash costs $0.15 in and $0.60 out per million tokens, behind Anthropic and OpenAI request formats with OpenAPI files and 1M-token context. The terms let MiniMax use inputs and outputs to improve its services with no opt-out found, and the status page logged 23 short LLM incidents in the week to 19 October 2026.

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

MiniMax API

  1. Use the Anthropic-format base URL https://api.minimax.io/anthropic for tool calls. The OpenAI-format schema has no tool_choice or response_format
  2. Set output_config.effort (or reasoning_effort) below max for routine calls. M3.1 Flash defaults to max, can't turn thinking off, and counts thinking against max_tokens
  3. Don't rely on stop_sequences or top_k. The Anthropic-format endpoint ignores them
  4. Back off on 429 and 529 yourself. No Retry-After header is documented
  5. Use a pay-as-you-go key for production. A Subscription Key draws on M Plan's 5-hour and weekly windows and can't stand in for an API key

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, MiniMax API or Muse Spark Open?

MiniMax API scores 55.2 (C) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 3 of 7 scored categories. Muse Spark Open leads on agent ergonomics, security & auth, payments & pricing and maintenance & community.

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

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

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

MiniMax API has a hosted endpoint at https://api.minimax.io. No hosted endpoint is listed for Muse Spark Open.

Other comparisons with MiniMax API or Muse Spark Open

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