Muse Spark Open
MetaKey muse-spark-openAlso reported as meta/muse-spark-open
- Rank
- #351
- by active users
- Active users
- 2
- NewNew: no active users in the previous 30 days, 2 now. vs previous 30 days
- Adoption
- 0.2%
- of 958 accounts
- Tokens
- 997K
- cache included
- Est. cost
- <$1
- at public list prices
- First seen
- Oct 16, 2026
- in any submission
Oct 14 – Nov 12, 2026 (UTC)958 accounts100% of tokens from an identified modelData through Nov 12, 2026, 01:30 UTCHow we count
Daily active users
Distinct accounts that used this model on each UTC day.
0 active users on Nov 12, 2026
Show daily values
| Date (UTC) | Active users | Tokens |
|---|---|---|
| Oct 14, 2026 | 0 | 0 |
| Oct 15, 2026 | 0 | 0 |
| Oct 16, 2026 | 1 | 311K |
| Oct 17, 2026 | 0 | 0 |
| Oct 18, 2026 | 0 | 0 |
| Oct 19, 2026 | 0 | 0 |
| Oct 20, 2026 | 0 | 0 |
| Oct 21, 2026 | 0 | 0 |
| Oct 22, 2026 | 0 | 0 |
| Oct 23, 2026 | 0 | 0 |
| Oct 24, 2026 | 0 | 0 |
| Oct 25, 2026 | 0 | 0 |
| Oct 26, 2026 | 0 | 0 |
| Oct 27, 2026 | 0 | 0 |
| Oct 28, 2026 | 0 | 0 |
| Oct 29, 2026 | 0 | 0 |
| Oct 30, 2026 | 0 | 0 |
| Oct 31, 2026 | 1 | 686K |
| Nov 1, 2026 | 0 | 0 |
| Nov 2, 2026 | 0 | 0 |
| Nov 3, 2026 | 0 | 0 |
| Nov 4, 2026 | 0 | 0 |
| Nov 5, 2026 | 0 | 0 |
| Nov 6, 2026 | 0 | 0 |
| Nov 7, 2026 | 0 | 0 |
| Nov 8, 2026 | 0 | 0 |
| Nov 9, 2026 | 0 | 0 |
| Nov 10, 2026 | 0 | 0 |
| Nov 11, 2026 | 0 | 0 |
| Nov 12, 2026 | 0 | 0 |
Token mix
How the 997K tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.
- Input42%
- Output0.6%
- Cache read58%
- Cache write0%
- Reasoning0.2%
Agents that carry Muse Spark Open
Each agent's share of this model's tokens, and how many accounts used the model through it.
Pi69% of this model's tokens1active users
OpenCode31% of this model's tokens1active users
Benchmarks
The best result for Muse Spark Open in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.
- Epoch Capabilities IndexOverall · Epoch AI155.1
Epoch Capabilities Index: 155.1
- Model
- Muse Spark Open
- Listed as
- Muse Spark Open
- Conditions
- Not reported
- Interval
- 152.7–158.0
- Unit
- ECI
- Model released
- Oct 15, 2026
- Retrieved
- Oct 21, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #36 of 160 matched modelsNo conditions reportedModel released Oct 15, 2026Source: epoch.ai (opens in a new tab) - WebDev ArenaWeb development · LMArena1,528
WebDev Arena: 1,528
- Model
- Muse Spark Open
- Listed as
- Muse Spark Open (Max)
- Conditions
- Max
- Interval
- 1511–1545
- Unit
- Arena score
- Published
- Oct 19, 2026
- Retrieved
- Oct 21, 2026
Source · LMArena leaderboard dataset (lmarena-ai/leaderboard-dataset on Hugging Face), CC BY 4.0
- GPQA DiamondReasoning · Epoch AI88.6%
GPQA Diamond: 88.6%
- Model
- Muse Spark Open
- Listed as
- Muse-Spark-Open-816B-A42B_xhigh
- Conditions
- XHigh
- Unit
- % correct
- Run date
- Oct 15, 2026
- Retrieved
- Oct 21, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 96.4%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.
- FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI69.8%
FrontierMath Tiers 1–3 (v2): 69.8%
- Model
- Muse Spark Open
- Listed as
- Muse-Spark-Open-816B-A42B_xhigh
- Conditions
- XHigh
- Unit
- % solved
- Run date
- Oct 15, 2026
- Retrieved
- Oct 21, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Near its ceiling: the top score is 93.7%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.
- SimpleQA VerifiedKnowledge · Epoch AI56.6%
SimpleQA Verified: 56.6%
- Model
- Muse Spark Open
- Listed as
- Muse-Spark-Open-816B-A42B_xhigh
- Conditions
- XHigh
- Unit
- % correct
- Run date
- Oct 15, 2026
- Retrieved
- Oct 21, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Pricing
List prices from models.dev in US dollars per 1M tokens, retrieved Oct 21, 2026. OpenRouter is the reference price for the estimates below. It is the first provider listed; models.dev lists no price from the lab's own API.
Price at real agent usageEstimate at list prices
What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.
- At this model's mix
- $0.64
- Est. per 1M tokens
58% cache reads - At the community mix
- $0.20
- Est. per 1M tokens
96% cache reads - 3:1 input/output blend
- $2
- Per 1M tokens at list prices
No cache
Cache reads were 58% of Muse Spark Open tokens in the last 30 days and 96% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.
Assumptions
- OpenRouter list prices per 1M tokens: input $1.25, output $4.25, cache read $0.15.
- This model's mix is its own input, output, cache and reasoning tokens in the last 30 days.
- The community mix is the tokens of every identified model in the last 30 days.
- This is an estimate at list prices, not what anyone paid.
- Reasoning tokens are priced as output.
- Long-context tiers, batch pricing and discounts are not applied.
- Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
- No cache-write price is listed, so cache writes are priced as input.
List prices by provider
- OpenRouterReference
meta/muse-spark-open$1.25 input per 1M tokens$4.25 output per 1M tokens$0.15 cache read per 1M tokensCache write not listed1.05M tokens of context - Vercel AI Gateway
meta/muse-spark-open$1.25 input per 1M tokens$4.25 output per 1M tokens$0.15 cache read per 1M tokensCache write not listed1.05M tokens of context - Together AI
meta-models/Muse-Spark-Open-816B-A42B$1.25 input per 1M tokens$4.25 output per 1M tokens$0.15 cache read per 1M tokensCache write not listed1.05M tokens of context - Fireworks AI
accounts/fireworks/models/muse-spark-open$1.25 input per 1M tokens$4.25 output per 1M tokens$0.15 cache read per 1M tokensCache write not listed1.05M tokens of context
Specs
From models.dev (MIT), retrieved Oct 21, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.
- Context window
- 1.05M tokens
- Max output
- 944K tokens
- Input
- Text, Image, Video, PDF, Audio
- Output
- Text
- Knowledge cutoff
- Jan 4, 2026
- Release date
- Oct 15, 2026
- Open weights
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
Top public profiles
Public profiles that used Muse Spark Open most in this period, by tokens. Hidden accounts are never listed.
- 1
BlockedPath @BlockedPath686Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
- 2
Alexander B@rygel311Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
More from Meta
Other Meta models in the same period, by active users.
- Muse Spark 1.3 Contributor6.1% adoption58active users
- Muse Spark 1.3 Contributor Free4.9% adoption47active users
- Muse Spark 1.32.2% adoption21active users
- Muse Wonder 1.01.8% adoption17active users
- Muse Wonder Full 1.01.0% adoption10active users
- Muse Spark 1.2 Contributor0.6% adoption6active users
Sources and attribution
Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.