Head to head · LLM inference · October 2026 research run
Muse Ember vs RouterPlus
Muse Ember scores 51.8 (D) on agent readiness against RouterPlus's 50.3 (D), and leads in 5 of 7 scored categories. RouterPlus leads on payments & pricing. Both do llm inference.
Best model APIs and inference for AI agents · All 871 models comparisons
Which one, for what
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
- Security & auth, 64 against 59
- Transparency & trust, 53 against 41
Watch for
No weights and no parameter count published, so it can't be run locally
Best for Teams that call Claude, GPT and open-weight models from one key and want the cost of every call in the response, with their own provider keys where they have them.
Ahead on
- Payments & pricing, 40 against 20
Watch for
No terms of service, privacy policy, status page, changelog or security.txt found for the gateway
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.
Payments & pricing RouterPlus +20
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.
RouterPlus 40
No machine payment protocol found in llms-full.txt. Calls draw on a prepaid balance (0). Per-token prices for every model are public in the docs catalogue and on the model pages with no login, re-read on 4 November 2026 (20). Signup adds no free credit, but inference through the caller's own provider keys carries no RouterPlus charge and needs no credit, the reading Cloudflare AI Gateway's dossier took for the same arrangement. We did not sign up to confirm that no card is asked for (20). A person signs up in the browser through Clerk with email verification, and the programmatic signup route was removed (0).
Transparency & trust Muse Ember +12
Muse Ember 53
Editorial half. Closed model under the Model API terms, with clear terms and law; no weights and no parameter count, unlike Muse Spark Open and Muse Glimmer (15). Standard content isn't used for training, retention periods not stated outside zero retention (18 of 30). No deprecation policy or dated notices (0). A subprocessor list linked but not read, no data locations (8 of 20). 15 + 18 + 0 + 8 = 41.
RouterPlus 41
Closed service with no terms of service found. The only terms on the site govern the capacity request form, under EVO HQ Inc (0 of 30). The data policy page is detailed, lists what is stored and why, and gives a 30-day period for request logs and each provider's retention flag. Its 4 November 2026 text, which logs request content by default, no longer agrees with the homepage FAQ; that contradiction is charged once as a misleading claim under negative events, not on this line. There is no privacy policy, no DPA and no retention period for account data such as email addresses (14 of 30, held). Model retirement by deprecation_date is documented with no notice period, and no dated deprecation notices were found (4 of 20). The docs name Clerk, Resend and an AWS bucket, and say RouterPlus's own GPUs run in the United States. The form's terms name Supabase, Cloudflare and Resend. No complete subprocessor list or gateway hosting location was found (8 of 20).
Security & auth Muse Ember +5
Muse Ember 64
Platform readings are the meta-model-api listing's of 4 November. Team keys, named, revocable, no scopes (20 of 30). Standard mode only, so content isn't used to train Meta models under the terms, with safety use reserved (17 of 20). Retention 'as needed' with zero retention through sales (10 of 15). Usage dashboard by model, no per-call log (5 of 15). No security.txt on dev.meta.ai, a bug bounty and a security commitments page, no named certification (12 of 20). 20 + 17 + 10 + 5 + 12 = 64.
RouterPlus 59
Router, read on the model lines. tm_vk_ keys are stored as SHA-256 hashes and revocable, each bound to a workspace and principal, with per-key RPM and monthly spend caps. Since 17 October 2026 the console also keeps an encrypted copy so an owner or admin can copy a key again, and an organisation can ask for copying to be turned off. Inference keys have no management rights. There are no permission scopes on a key and no SSO or SCIM (24 of 30). RouterPlus says it does not train on request logs and does not share them, and deletes them after 30 days. Most Claude and GPT routes are marked prompt_logging: retained with no ZDR, so retention and training upstream rest on each provider's API terms, while DeepInfra's open models, Perplexity, Cloudflare Workers AI, Fastino and RouterPlus's own models declare none (12 of 20, held). The data policy re-read on 4 November 2026 says requests and responses to non-dedicated endpoints are now logged by default for up to 30 days for debugging, with recognised keys removed. On 13 October it said content was kept only for hackathon accounts. Opting out takes a request to support, dedicated endpoints are excluded, and the zdr and data_collection: deny filters still remove every marketplace route, so they work only on the caller's own provider keys. Cloudflare AI Gateway, with default logging and a per-request header to switch it off, has 11 here (7 of 15, 10 before). GET /v1/generation lists every attempt behind a request with provider, tokens and cost, and the console has usage and logs (14 of 15). No security.txt (404 on both hosts on 4 November 2026), disclosure policy, bug bounty or certification found. The footer's Security link is an email to founders@evo-hq.com (2 of 20). 24 + 12 + 7 + 14 + 2 = 59.
Score by category
| Category | Weight this run | Muse Ember | RouterPlus | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 40 | 42 | RouterPlus +2 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 60 | 59 | Muse Ember +1 |
| Agent ergonomics | 13%16.2 | 72 | 71 | Muse Ember +1 |
| Security & auth | 14%17.5 | 64 | 59 | Muse Ember +5 |
| Payments & pricing | 10%12.5 | 20 | 40 | RouterPlus +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 46 | 44 | Muse Ember +2 |
| Transparency & trust | 7%8.8 | 53 | 41 | Muse Ember +12 |
| Negative events | ≤15 | 0 | -2 | |
| Total | D 51.8/100 | D 50.3/100 |
Facts side by side
| Fact | Muse Ember | RouterPlus |
|---|---|---|
| Kind | Model API | Model router |
| Vendor | Meta | RouterPlus |
| Hosted endpoint | https://api.meta.ai/v1 | https://api.routerplus.com/v1 |
| Transports | HTTP | |
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Closed 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 Glimmer | Closed service. No terms of service for the gateway were found on routerplus.com or app.routerplus.com on 13 October 2026. The only terms on the site govern the capacity request form and name EVO HQ Inc, a Delaware corporation (https://routerplus.com/capacity/terms/). |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-09 | none |
| Terms last updated | 2026-10-02 | no document linked |
| Privacy policy last updated | couldn't be read | no document linked |
| Customer content may train models | yes | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | yes | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | yes | not read yet |
How the scores have moved
Muse Ember
No score change since it was listed.
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.
RouterPlus
The docs are written for agents, every model price is public, and each response carries its own cost. No terms of service, privacy policy, status page or changelog were found. Request content is now logged for 30 days by default while the homepage says prompts aren't stored, and signup adds no free credit.
Before you call either
Muse Ember
- Call https://api.meta.ai/v1/responses (or /chat/completions or /messages) with model muse-ember-1.0 and a bearer MODEL_API_KEY
- 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
- 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
- Use it for sub-agents and bounded repeated tasks, and a larger Muse model for the plan, as Meta advises
- Use strict structured output for extraction and routing steps
- In Claude Code, map the haiku alias and sub-agent model to muse-ember-1.0, per Meta's guide
RouterPlus
- Send
max_tokenson every request. Without it the balance hold assumes up to 32,768 output tokens and can returninsufficient_quotaon a small balance - Switch on
error_type. Retryrate_limitafterretry-after, and stop oninsufficient_quota, which needs a person to add credit or raise a cap - Don't add a retry loop on top of the SDK's. There is no idempotency key, so a retry that reaches a provider is billed again
- Keep secrets out of prompts. Request content is logged for up to 30 days unless the organisation has opted out through support
- Use
/v1/messagesfor Claude when you needthinkingor server tools.response_formatworks for GPT ids and open models, not Claude
Questions
Which is better for AI agents, Muse Ember or RouterPlus?
Muse Ember scores 51.8 (D) on agent readiness against RouterPlus's 50.3 (D), and leads in 5 of 7 scored categories. RouterPlus leads on payments & pricing.
Do Muse Ember and RouterPlus need an API key?
Both need an API key.
Can an agent call Muse Ember and RouterPlus without installing anything?
Yes. Muse Ember has a hosted endpoint at https://api.meta.ai/v1 and RouterPlus at https://api.routerplus.com/v1.
Other comparisons with Muse Ember or RouterPlus
- Amazon Bedrock vs Muse Ember
- Amazon Bedrock vs RouterPlus
- Claude API vs Muse Ember
- Claude API vs RouterPlus
- Antseed vs Muse Ember
- Azure OpenAI in Foundry Models vs Muse Ember
- Azure OpenAI in Foundry Models vs RouterPlus
- BlockRun.AI vs Muse Ember
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- Cerebras Inference vs Muse Ember
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- Cloudflare AI Gateway vs Muse Ember
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- Cloudflare Workers AI vs Muse Ember
- Cloudflare Workers AI vs RouterPlus
- Cohere Chat API (Command models) vs Muse Ember
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- DeepInfra vs Muse Ember
- DeepInfra vs RouterPlus
- DeepSeek API vs Muse Ember
- DeepSeek API vs RouterPlus
- Eden AI vs Muse Ember
- Glimpse vs Muse Ember
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- Fireworks AI Inference vs Muse Ember
- Fireworks AI Inference vs RouterPlus
- Gemini Developer API vs Muse Ember
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- GroqCloud vs Muse Ember
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- Hugging Face Inference Providers vs Muse Ember
- Inkling 2 Small vs Muse Ember
- Inkling 2 Small vs RouterPlus
- Jais 3 vs Muse Ember
- Jais 3 vs RouterPlus
- Meta Model API vs Muse Ember
- Meta Model API vs RouterPlus
- MiniMax API vs Muse Ember
- MiniMax API vs RouterPlus
- Mistral AI API vs Muse Ember
- Mistral AI API vs RouterPlus
- Muse Ember vs Muse Spark Open
- Muse Ember vs Nemotron 3.5 Super VL
- Muse Ember vs Novita AI
- Muse Ember vs OpenAI API
- Muse Ember vs OpenRouter
- Muse Ember vs Prism Inference
- Muse Ember vs Router.com (Ramp Router)
- Muse Ember vs Beam 1.0
- Muse Ember vs SambaCloud
- Muse Ember vs SiliconFlow
- Muse Ember vs Simplismart
- Muse Ember vs StepFun API
- Muse Ember vs SWE-2 Flash
- Muse Ember vs Tencent Cloud TokenHub
- Muse Ember vs Together AI Inference
- Muse Ember vs Vercel AI Gateway
- Muse Ember vs Vertex AI (Gemini Enterprise Agent Platform)
- Muse Ember vs xAI API (Grok)
- Muse Spark Open vs RouterPlus
- Nemotron 3.5 Super VL vs RouterPlus
- Novita AI vs RouterPlus
- OpenAI API vs RouterPlus
- OpenRouter vs RouterPlus
- Prism Inference vs RouterPlus
- Beam 1.0 vs RouterPlus
- RouterPlus vs SambaCloud
- RouterPlus vs SiliconFlow
- RouterPlus vs Simplismart
- RouterPlus vs StepFun API
- RouterPlus vs SWE-2 Flash
- RouterPlus vs Together AI Inference
- RouterPlus vs Vertex AI (Gemini Enterprise Agent Platform)
- RouterPlus vs xAI API (Grok)
- Antseed vs RouterPlus
- Eden AI vs RouterPlus
- Hugging Face Inference Providers vs RouterPlus
- LiteLLM vs RouterPlus
- Router.com (Ramp Router) vs RouterPlus
- RouterPlus vs Tencent Cloud TokenHub
- RouterPlus vs Vercel AI Gateway
Machine-readable
- This page as Markdown
/compare/muse-ember-vs-routerplus.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/muse-ember.json·/api/v1/tools/routerplus.json - From a terminal
anchor compare muse-ember routerplus(the CLI) - Over MCP
compare_tools {"a": "muse-ember", "b": "routerplus"}at/mcp, no key