Head to head · LLM inference · October 2026 research run
DeepInfra vs Muse Spark Open
DeepInfra scores 63 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments & pricing. Both do llm inference.
Best model APIs and inference for AI agents · All 210 models comparisons
Which one, for what
Best for Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.
Ahead on
- Reliability, 70 against 42
- Schema & documentation, 69 against 61
- Agent ergonomics, 77 against 69
- Security & auth, 64 against 44
- Maintenance & community, 65 against 60
- Transparency & trust, 67 against 53
Also in its favour
- A hosted endpoint, with nothing to install
Watch for
A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id
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 20
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
| Category | Weight this run | DeepInfra | Muse Spark Open | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 70 | 42 | DeepInfra +28 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 69 | 61 | DeepInfra +8 |
| Agent ergonomics | 13%16.2 | 77 | 69 | DeepInfra +8 |
| Security & auth | 14%17.5 | 64 | 44 | DeepInfra +20 |
| Payments & pricing | 10%12.5 | 20 | 50 | Muse Spark Open +30 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 65 | 60 | DeepInfra +5 |
| Transparency & trust | 7%8.8 | 67 | 53 | DeepInfra +14 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 63/100 | D 53.4/100 |
Facts side by side
| Fact | DeepInfra | Muse Spark Open |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Deep Infra Inc. | Meta |
| Hosted endpoint | https://api.deepinfra.com/v1/openai | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Pay per use | Free |
| x402 | no | no |
| Licence | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | 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 documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-07 | 2026-10-15 |
| Terms last updated | 2026-08-17 | |
| Privacy policy last updated | 2026-08-15 | no document linked |
| Customer content may train models | not found in the text | |
| Terms restrict automated access | not found in the text | |
| Terms restrict benchmarking | yes | |
| Terms or service can change without notice | not found in the text | |
| Arbitration or class-action waiver | yes | |
| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | none |
Verdicts
DeepInfra
The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.
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
DeepInfra
- Call
GET https://api.deepinfra.com/v1/openai/modelsat start-up for ids, context sizes and prices. No key is needed - Check the
modelfield of each response. After a deprecation date, requests to the old id are served by a replacement model - Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key
- Stay under 200 concurrent requests per model. On 429
engine_overloaded, retry after a delay, or sendmodelswith up to four fallbacks - Never inspect a JWT with
GET /v1/scoped-jwt?jwtoken=, which puts the token in the URL. Keep credentials in theAuthorizationheader
Muse Spark Open
- 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 - Set
reasoning_efforttolowormediumfor short tasks. The default isxhigh, reasoning can't be turned off, and other values return an error - Stop only on
<|eot|>and end of text. Stopping on<|eom|>cuts off tool calls and final answers - Stream long generations and leave
max_tokensroom for reasoning, orcontentcan come back empty withfinish_reasonlength - 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, DeepInfra or Muse Spark Open?
DeepInfra scores 63 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments & pricing.
Do DeepInfra and Muse Spark Open need an API key?
DeepInfra needs an API key. Muse Spark Open needs no key.
Can an agent call DeepInfra and Muse Spark Open without installing anything?
DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai. No hosted endpoint is listed for Muse Spark Open.
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Machine-readable
- This page as Markdown
/compare/deepinfra-vs-muse-spark-open.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/deepinfra.json·/api/v1/tools/muse-spark-open.json - From a terminal
anchor compare deepinfra muse-spark-open(the CLI) - Over MCP
compare_tools {"a": "deepinfra", "b": "muse-spark-open"}at/mcp, no key