Muse

Muse Spark 1.3 (xhigh)

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

#699发布于 2026年8月10日·Proprietary·Not disclosed
textimage256K ctxreasoning
API providers排行榜
Intelligence
0.0 #699
Top 100% tier
Output speed
65 t/s
TTFT ~0.8s · ITL 15.4 ms/tok
Blended price (3:1)
$4.375 /1M
In $2.5/M · Out $10/M
Context
256K
≈ 655 A4 pages · max out 65536

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)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see 评分方法.

API deployment

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Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
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各榜单得分

分类能力得分

基准测试分项

模型详细参数

发布日期
2026年8月10日
参数量
Not disclosed
开源协议
Proprietary
上下文窗口
262,144 tokens
输入价格
$2.5/M
输出价格
$10/M
输出速度
65 t/s
首Token延迟

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
[![LLMPodium Rank](https://llmpodium.com/badge/muse-spark-1-3-xhigh/rank.svg)](https://llmpodium.com/models/muse-spark-1-3-xhigh)
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}
}

替代模型推荐

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