Meta, released Aug 5, 2026
Muse Spark 1.2price, context, benchmarks and release details
- Input, per 1M tokens
- $1.25Meta API pricingOfficial Meta Standard tier; applies only to the versions explicitly listed by the provider. Contributor training-data-discount tier and cached input excluded
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Output, per 1M tokens
- $4.25Meta API pricingOfficial Meta Standard tier; applies only to the versions explicitly listed by the provider. Contributor training-data-discount tier and cached input excluded
Retrieved Oct 9, 2026 · factual citation
Open source ↗ - Context window
- 1Mmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 131Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- Aug 5, 2026models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
How the score breaks down
Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 05:13 UTC.
Around it on the leaderboard
- 50 Claude Opus 4.5 62.6
- 51 MiMo-V2.5-Pro 62.6
- 52 Muse Spark 1.2 62.3
- 53 Mistral Large 4 62.2
- 54 Qwen3.8 27B 61.9
Benchmark results
18 benchmarks, 18 resultsEach row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.
Open source ↗ 100.0
Open source ↗ 82.5
Open source ↗ 88.0
Open source ↗ 96.0
Open source ↗ 80.8
Open source ↗ 95.3
Open source ↗ 89.0
Open source ↗ 97.1
Open source ↗ 91.0
Open source ↗ 87.8
Open source ↗ 68.7
Open source ↗ 80.4
Open source ↗ 74.6
Open source ↗ 72.7
Open source ↗ 50.0
Open source ↗ 50.0
Open source ↗ 82.9
Open source ↗ 80.4
Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.
Details and sources
- Open weights
- Nomodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, image, video, pdf, audiomodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - First seen by SuperIndex
- Oct 8, 2026
- Coverage
- 43% of expected source weight
Reported (3)
- Official model cards via models.devOct 8, 2026
- LiveBenchOct 8, 2026
- LMArena / ArenaOct 8, 2026
Awaiting (4)
- ARC Prize13% of weight
- Epoch AI Benchmarking25% of weight
- Humanity’s Last Exam13% of weight
- Terminal-Bench6% of weight
Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.