97% offMeta: Muse Spark 1.3 Contributor API
Meta·Vision· 100.0% success (7d)
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...
Pricing
Cheapest live price, per 1 million tokens.
Input / 1M tokens
$0.100 OpenRouter
Output / 1M tokens
$0.200 OpenRouter
Cache read / 1M
Repeated prompt prefixes
Cache read is the discounted rate for repeated prompt prefixes (system prompts, agent context).
Capabilities · 10
Specifications
- Context window
- 1.0M
- Max output
- 944K
- Type
- Vision
- Creator
- Meta
- Live sellers
- 41
- Requests / 24h
- 28,339
Price history · 60 days
Estimated monthly cost
30 days at the cheapest live price.
Quick start
OpenAI-compatible — change the base URL and key. Get a key from the dashboard.
from openai import OpenAI
client = OpenAI(
base_url="https://api.qubax.ai/v1",
api_key="YOUR_QUBAX_API_KEY",
)
response = client.chat.completions.create(
model="muse-spark-1.3-contributor",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)About Meta: Muse Spark 1.3 Contributor
Meta: Muse Spark 1.3 Contributor is a multimodal language model developed by Meta. It's particularly well-suited for analyzing images, screenshots, and visual content, tackling complex, multi-step reasoning problems, orchestrating tool-using agents that call APIs and external services, grounding responses in real-time web search results, producing structured outputs for reliable data extraction and handling large contexts of up to 1.0M tokens. Its 1.0M-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. It can write up to 944K tokens in a single response.
As of Oct 28, 2026, Meta: Muse Spark 1.3 Contributor costs $0.0026 per 1M input tokens and $0.010 per 1M output tokens on Qubax, versus $0.100 / $0.200 on OpenRouter (97% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $0.01. Measured availability over the last 7 days: 100.0%. 41 independent compute providers currently serve it, so requests fail over automatically. It handled 28,339 requests on Qubax in the last 24 hours. Pay with USDC, USDT, BTC, ETH or 350+ other coins — no credit card required.
Similar-priced alternatives
Frequently asked questions
How much does the Meta: Muse Spark 1.3 Contributor API cost?
On Qubax, Meta: Muse Spark 1.3 Contributor costs $0.0026 per 1M input tokens and $0.010 per 1M output tokens. This is 97% cheaper than OpenRouter's price of $0.100 per 1M input tokens.
Is the Meta: Muse Spark 1.3 Contributor API compatible with OpenAI?
Yes. Qubax provides an OpenAI-compatible API. You can use Meta: Muse Spark 1.3 Contributor as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.
Why is Meta: Muse Spark 1.3 Contributor cheaper on Qubax than OpenRouter?
Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 97% cheaper than OpenRouter's price for Meta: Muse Spark 1.3 Contributor.
How do I pay for Meta: Muse Spark 1.3 Contributor API usage?
Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 350+ other coins and your balance is deducted as you use the API. No credit card or KYC required.
What is the context window of Meta: Muse Spark 1.3 Contributor?
Meta: Muse Spark 1.3 Contributor supports a context window of 1.0M tokens, allowing you to process large documents, codebases, or long conversations in a single request.
What can I build with Meta: Muse Spark 1.3 Contributor?
You can use Meta: Muse Spark 1.3 Contributor to analyze images and visual content, tackle complex multi-step reasoning tasks, build autonomous agents that call external tools and APIs, answer questions with real-time web search, generate structured JSON output for data pipelines and process long documents and entire codebases. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.
How fast and reliable is Meta: Muse Spark 1.3 Contributor on Qubax?
Its 7-day success rate is 100.0%. Responses stream token by token. 41 sellers serve it, so if one is slow or down the request moves to the next.
Meta: Muse Spark 1.3 Contributor vs Qwen3.8 Flash: which should I choose?
Meta: Muse Spark 1.3 Contributor by Meta and Qwen3.8 Flash by Alibaba are both strong models in a similar price tier. Meta: Muse Spark 1.3 Contributor excels at complex reasoning and supports vision/image inputs. Qwen3.8 Flash comes from a different lab and may have different strengths depending on your workload. On Qubax, Meta: Muse Spark 1.3 Contributor starts at $0.0026/1M input tokens versus Qwen3.8 Flash's $0.0027/1M — making Meta: Muse Spark 1.3 Contributor the more cost-effective option for high-volume workloads. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.
Can I use Meta: Muse Spark 1.3 Contributor for commercial projects?
Yes. Meta: Muse Spark 1.3 Contributor on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.
Why use Meta: Muse Spark 1.3 Contributor on Qubax?
97% cheaper
Providers compete on price — you get the cheapest healthy seller.
Pay with crypto
350+ coins (BTC, ETH, SOL, USDT, USDC). No card, no KYC.
OpenAI & Anthropic compatible
Drop-in base URL. Works with Cline, Cursor, Claude Code, OpenAI and Anthropic SDKs.