Muse

Muse Spark 1.3 (xhigh)

Maximum thinking effort model from Muse specializing in Olympiad mathematics and complex proofs.

#766dirilis 10 Agu 2026·Proprietary·Not disclosed
textimage256K ctxpenalaraneffort: xhigh
Penyedia APIJalankan Model →Peringkat
Inteligensi
0.0 #766
Tingkat 100% teratas
Kecepatan output
65 t/s
ITL 15.4 ms/tok
Harga gabungan (3:1)
$4.375 /1M
Input $2.5/M · Output $10/M
Konteks
256K
≈ 655 halaman A4 · output maks 65,536

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Muse Spark 1.3 (xhigh)
Claude Mythos Preview (#1)
Average (68)
Coding (68)Mathematics (70)Hard Science (GPQA) (71)Agentic & Tool Use (63)Knowledge (MMLU) (65)Vision / Multimodal (63)

Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.

Kelebihan & Trade-off

Di mana ia menang

  • Up to 65,536 output tokens per response
  • Cheap prompt-cache reads at $0.25/1M
  • Reasoning mode with adjustable effort levels

Hal yang perlu diperhatikan

  • Architecture and weights undisclosed — API access only

Kasus Penggunaan Killer

Math & proof work
Step-verified reasoning for olympiad math, theorem proving and formal verification.
Quantitative pipelines
Numeric reasoning for finance, science and engineering calculations.

Quickstart Developer & API

Atur OPENROUTER_API_KEY dulu — dapatkan kunci API
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "muse/muse-spark-1-3-xhigh",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

OpenRouter-compatible endpoint — one API for 300+ models.

Sumber Daya & Tautan Resmi

Deployment API

Bandingkan host & latensi

Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Lihat matriks penyedia →

Skor per sumber

Skor per kategori

Hasil benchmark

Spesifikasi Live & Arsitektur

Di balik kap
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.25/1M tokens.
Tanggal rilis
10 Agu 2026
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
262,144 tokens
Output maks
65,536 tokens
Modalitas
text + image
Harga cache
baca $0.25 · tulis $3.125 /1M
Penalaran
Level effort
Harga input
$2.5/M
Harga output
$10/M
Kecepatan output
65 t/s
Waktu ke token pertama
—
Data diperbarui
26 Okt 2026

Estimasi tagihan bulanan

Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…

Kutip & sematkan

Badge Markdown GitHub
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BibTeX
@misc{llmpodium2026musespark13xhigh,
  title = {Benchmark Analysis and Intelligence Evaluation of Muse Spark 1.3 (xhigh)},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/muse-spark-1-3-xhigh}
}

Sematkan Lencana Skor

Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.

Pratinjau
Muse Spark 1.3 (xhigh) LLMPodium Score
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Lainnya dari Muse

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