Muse Spark 1.3 Contributor API
Call Muse Spark 1.3 Contributor through Wokey and review published catalog pricing, upstream-native API forms, context, and model capabilities.
- Model ID
muse-spark-1.3-contributor- Vendors
- opencode
- Supply status
- Currently callable
Catalog pricing snapshot
Prices are per 1M tokens; request-time pricing controls settlement.
| Meter | Wokey | Official reference | Savings |
|---|---|---|---|
| Input | $0.1 | $0.1 | 0% |
| Output | $0.2 | $0.2 | 0% |
| Cache read | $0.002 | $0.002 | 0% |
| Cache write | — | — | — |
Official price source: https://dev.meta.ai/docs/models
Measured on Wokey
Last 28 days (2026-10-06 to 2026-11-02), updated every Monday · Real requests from 40+ accounts
- Time to first token, short prompts
- Not enough samples (Median · prompts under 8K tokens)
- Time to first token, agent-size prompts
- Not enough samples (Median · prompts of 32K–128K tokens)
- Prompt cache hit rate
- 92% (Share of input tokens read from cache)
How this is measured
Time to first token runs from the Wokey gateway receiving the request to the first streamed content (text, reasoning summary or refusal). It includes queueing, retries on another account and the model's thinking time, so it is longer than the upstream's own first-token latency. Only successful streamed requests count, banded by prompt size (input plus cache reads and writes).
Cache hit rate = cache-read tokens ÷ input tokens over successful requests. It depends on the client and how it is used; the cache hit-rate pages break it down by client.
Enterprise accounts and Wokey's own test accounts are excluded. A model is shown once at least 20 users used it in the last 28 days and no single user sent more than 50% of its requests, counting accounts registered through one referral chain as one user; each first-token figure needs at least 500 requests.
Model capabilities
- Context
- 1,048,576 tokens
- Max output
- 65,536 tokens
- Streaming
- Supported
- Tools
- Supported
- Vision
- Supported
- Supported API forms
/v1/responses
Send a request
/v1/responses
curl https://api.wokey.ai/v1/responses \
-H "Authorization: Bearer $WOKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"muse-spark-1.3-contributor","input":"Hello"}'Use Muse Spark 1.3 Contributor in your tools
The gateway is https://api.wokey.ai (OpenAI-compatible clients usually take https://api.wokey.ai/v1), and the model ID is muse-spark-1.3-contributor. Open the guide for the client you use.
- Use Muse Spark 1.3 Contributor in Codex CLI: OpenAI Responses · base URL and API key setup
- OpenRouter alternative: Wokey vs OpenRouter: Compare token prices, payment fees, API forms, and upstream sources.
- Verifiable AI API: which models and API forms carry response proofs: Response proofs currently cover only raw passthrough Claude Messages and GPT Responses on official routes.
Frequently asked questions
How much does the Muse Spark 1.3 Contributor API cost, and how much does it save versus the official API?
Wokey lists input at $0.1 per 1M tokens and output at $0.2 per 1M tokens; the official references are $0.1 and $0.2. That is 0% lower for input and 0% lower for output. Request-time pricing controls settlement, and the vendor pricing source is linked on this page.
What is the Muse Spark 1.3 Contributor API model ID?
The model ID for Muse Spark 1.3 Contributor on Wokey is muse-spark-1.3-contributor. Use it exactly as written in the request body's model field or in your client's model setting (for example ANTHROPIC_MODEL in Claude Code, or model in the Codex CLI config.toml); GET https://api.wokey.ai/v1/models also lists it.
Which API forms does Muse Spark 1.3 Contributor support, and how do I call it through Wokey?
Muse Spark 1.3 Contributor supports /v1/responses (Responses requests). Set the API base URL to https://api.wokey.ai, authenticate with a Wokey API key, and use the canonical model ID muse-spark-1.3-contributor; you can start with /v1/responses. The Send a request section includes a curl example for every supported API form.
How do I use Muse Spark 1.3 Contributor in Codex CLI?
Codex CLI calls Muse Spark 1.3 Contributor over the Responses protocol. Add a model_provider to ~/.codex/config.toml with base_url = "https://api.wokey.ai", wire_api = "responses", and env_key = "OPENAI_API_KEY"; set model to muse-spark-1.3-contributor and put your Wokey API key in OPENAI_API_KEY. The Codex CLI guide has the full config.
What are the context window and maximum output for Muse Spark 1.3 Contributor?
The catalog context window is 1,048,576 tokens and the maximum output is 65,536 tokens. These are separate limits, and a request must also satisfy the upstream constraints in effect when it is processed.
How are cache reads and cache writes priced for Muse Spark 1.3 Contributor?
Cache read: Wokey lists $0.002 per 1M tokens and the official reference is $0.002 per 1M tokens. Cache write: the vendor does not publish a separate meter, so Wokey also shows — as the public price.
How does calling Muse Spark 1.3 Contributor through Wokey differ from OpenRouter?
Wokey lists Muse Spark 1.3 Contributor at $0.1 input / $0.2 output per 1M tokens, against an official reference of $0.1 / $0.2. OpenRouter states it adds no markup on inference and charges its fee when you buy credits (5.5% by card). Wokey carries a curated set of models and has no per-provider routing parameters, so OpenRouter fits better if you need a wider catalog. The OpenRouter alternative page has the full comparison.
Does Muse Spark 1.3 Contributor support streaming, tool calling, and image input?
Streaming is supported; tool calling is supported; image input is supported. These values come directly from the current runtime model catalog and are not inferred from the model name.
Related models and documentation
Get API key · muse-spark-1.3-contributor