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Muse Spark Open is a Meta model, released on 15 October 2026. It takes text, images, video, files and audio and returns text, with a 1.05 million-token context window. Artificial Analysis scores it 24.7 on its Intelligence Index, number 3 of 3 rated Meta models.
Provider-published specifications as of 30 October 2026, not figures we measured. Model families move quickly — check the provider's own documentation before committing to a number.
Source: Muse Spark Open in the OpenRouter catalogue, checked weekly. Confirm current terms in Meta's own documentation before you commit.
Measured by Artificial Analysis on its own evaluation suite, at every reasoning setting it tested.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 48.0
Each model at its best reasoning setting. The index combines reasoning, knowledge, maths and coding evaluations; it does not show cost, latency or data residency.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the provider.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 66.0
The highest-rated model of each other family we cover, at its best reasoning setting.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the providers.
Score (%) at its best reasoning setting · Higher is better · Linear scale from 0 to 100.0
Each evaluation run by Artificial Analysis under its published methodology. Scores on public benchmarks can overstate performance on your own data.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the provider.
Illustrative calculation at listed rates: a batch of 10 million input tokens and 1 million output tokens costs $16.75 on Muse Spark Open. A thousand requests of 2,000 input and 500 output tokens each costs $4.63. Calculation: input millions × input rate + output millions × output rate; it excludes reasoning tokens, retries, tools, tax and review time.
Compare cost per accepted result, not per token: replay the same work on two or three candidates and count the answers you would actually ship. Our model-routing approach sends each request to the cheapest model that passes.
Every Meta model in the catalogue. Our Meta page covers where the family fits and how we evaluate it.
| Muse Spark Open open | 15 Oct 2026 | 24.7 | 140 | 1.05M | $1.25 | $4.25 |
|---|---|---|---|---|---|---|
| Muse Wonder | 12 Oct 2026 | 43.3 | 150 | 1.05M | $4.00 | $20.00 |
| Muse Spark 1.3 | 2 Sep 2026 | 36.4 | — | 1.05M | $1.25 | $4.25 |
| Muse Glimmer 30B open | 9 Aug 2026 | — | — | 131k | $0.300 | $1.20 |
| Muse Spark 1.2 | 5 Aug 2026 | — | — | 1.05M | $1.25 | $4.25 |
| Muse Spark 1.1 | 9 Jul 2026 | — | — | 1.05M | $1.25 | $4.25 |
| Llama 4 Maverick open | 5 Apr 2025 | — | 49 | 524k | $0.188 | $0.653 |
| Llama 4 Scout open | 5 Apr 2025 | — | 135 | 1.31M | $0.100 | $0.300 |
| Llama 3.3 70B Instruct open | 6 Dec 2024 | — | — | 131k | $0.100 | $0.320 |
| Llama 3.2 1B Instruct open | 25 Sep 2024 | — | — | 60k | $0.027 | $0.201 |
| Llama 3.2 3B Instruct open | 25 Sep 2024 | — | — | 131k | $0.050 | $0.330 |
| Llama 3.1 70B Instruct open | 23 Jul 2024 | — | — | 131k | $0.400 | $0.400 |
| Llama 3.1 8B Instruct open | 23 Jul 2024 | — | — | 131k | $0.050 | $0.080 |
Intelligence and coding: Artificial Analysis indices at the model's best reasoning setting, and its measured output speed. Context and prices: the OpenRouter catalogue list price in USD per million tokens. Released: the provider's date where Artificial Analysis records one, otherwise the date the catalogue first listed it. Refreshed weekly; not measured by QQuantum.ai. Select a heading to sort.
Muse Spark Open was released on 15 October 2026, according to Artificial Analysis.
1.05 million tokens, with up to 131,072 output tokens per response, as listed in the OpenRouter catalogue on 30 October 2026. A long window is not the same as reliable recall across it; evaluate retrieval on your own documents.
The catalogue lists $1.25 per million input tokens and $4.25 per million output tokens, and $0.150 per million cached input tokens (checked 30 October 2026). Meta's own rates, batch discounts and cloud marketplaces can differ.
Artificial Analysis gives it 24.7 on its Intelligence Index at its best reasoning setting, number 3 of the 3 Meta models it rates. A composite score is a shortlist tool; your own task decides.
Its weights are published (on Hugging Face as meta-models/Muse-Spark-Open-816B-A42B), so it can be self-hosted subject to its licence. Check the licence and size the serving stack before buying hardware.
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