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NEWER CHECKPOINT1M CONTEXTTEXT + IMAGE + VIDEO + PDFNO LONG-CONTEXT PREMIUMCONTRIBUTOR TIER 12x CHEAPER

Muse Spark 1.2 API Pricing

Muse Spark 1.2 is the updated Muse Spark checkpoint on Meta's Model API, and the default model in Meta's own code examples. It is priced identically to Muse Spark 1.1 — Meta states plainly that both checkpoints share the same standard pricing: $1.25/M input, $0.15/M cached input and $4.25/M output. The choice between the two is about the checkpoint, not the bill. There is also a Contributor tier at $0.10 / $0.002 / $0.20 — roughly 12x cheaper — which is the same checkpoint on the condition that Meta may train on your prompts and completions.

Input - per 1M tokens
$1.25/M
Source ai.developer.meta.com launch rate
Output - per 1M tokens
$4.25/M
3.4x the input rate launch rate
Cached input - per 1M tokens
$0.15/M
No cache-write charge published -88%
Effective - agentic blend
$0.66/M
92/8 split - 82% cache
§ 01 / TERMINAL

Run the numbers.

Calculator pre-loaded with Muse Spark 1.2's Standard-tier rates. Meta states there is no long-context premium, so the rate holds whether the 1M window is nearly empty or nearly full. Divide by about 12 for the Contributor tier, which trades data rights for price.

$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
Words equivalent (English)
Effective rate
Open full calculator (all models · share URL · CSV) →
§ 02 / SCENARIOS

Real-world presets.

§ 03 / TOKENIZER

Paste text. See tokens. See cost.

Estimate · meta-tokenizer-estimate · ≈3.85 chars/token Auto-counts as you type

This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.

Characters 473
Words 77
Tokens (estimated) 123 tokens
Cost as input · uncached $0.00015 USD
Cost as output · uncached $0.00052 USD
Cost as cached input $0.00002 USD
§ 04 / SHELF

Up against the shelf.

All models →
Model Input /M Output /M Effective blended Context Best for
Muse Spark 1.2 Current $1.25 cache $0.15 $4.25 $0.66 newer checkpoint 1M Agentic and coding work on Meta's API
Muse Spark 1.1 $1.25 cache $0.15 $4.25 $0.66 same price, older checkpoint 1M Earlier Muse Spark checkpoint
Gemini 3.5 Flash-Lite $0.30 cache $0.03 $2.50 $0.272 budget 1M peer 1M High-volume 1M-context work on a budget
Grok 4.3 $1.25 cache $0.20 $2.50 $0.558 same input, cheaper output 1M Output-heavy 1M-context agents
GPT-5.6 Luna $0.20 cache $0.02 $1.20 $0.152 OpenAI 1M peer 1.05M OpenAI-native agent stacks
Gemini 3.6 Flash $0.75 cache $0.075 $3.75 $0.481 Google agentic peer 1M Multimodal agents with computer use
Kimi K3 $3.00 cache $0.30 $15.00 $1.92 frontier agentic peer 1M Long-horizon agentic coding

Frequently asked.

Muse Spark 1.2 pricing questions, with the Standard and Contributor tiers kept apart.

Q · 01 How much does Muse Spark 1.2 cost? +
On the Standard tier, $1.25/M input, $0.15/M cached input and $4.25/M output. Meta's pricing page states that Muse Spark 1.1 and 1.2 "share the same standard pricing", so switching checkpoint does not change the bill.
Q · 02 What is the Contributor tier, and is it worth it? +
It is the same 1.2 checkpoint at $0.10/M input, $0.002/M cached input and $0.20/M output — about 12x cheaper — called through the model id muse-spark-1.2-contributor. The price is the consideration: Meta may use your prompts and completions to train future models. It is a data-rights decision before it is a cost decision, and it is not appropriate for confidential or customer data. Rate limits are lower too: 100 requests/min against the Standard tier's 3,000.
Q · 03 Is 1.2 better than 1.1? +
Meta describes 1.2 as "an updated checkpoint with slightly higher performance" and uses it as the default in its documentation examples. It publishes no benchmark comparison between the two, and we do not carry one. Since the price is identical, there is no cost argument for staying on 1.1.
Q · 04 Does a long prompt cost more per token? +
No. Meta states there is no long-context premium: you pay the same rate whether the context window is mostly empty or almost full. That is unusual — Google, OpenAI and xAI all charge a higher tier past a threshold — and it makes the 1,048,576-token window cheaper to actually use than the headline rate suggests.
Q · 05 What does it cost to add web search? +
Search grounding bills $2.50 per 1,000 search queries on top of the token charges for the request. That is a per-query fee, not a per-token one, so it lands hardest on workloads that search often and generate little.