Muse

Muse Spark 1.3 (xhigh)

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

#766released Aug 10, 2026·Proprietary·Not disclosed
textimage256K ctxreasoningeffort: xhigh
API providersRun Model →Leaderboard
Intelligence
0.0 #766
Top 100% tier
Output Speed
65 t/s
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 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)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

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

Trade-offs to watch

  • Architecture and weights undisclosed — API access only

Killer Use Cases

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

Developer Quickstart & API

Set OPENROUTER_API_KEY first — get an API key
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.

Official Resources & Links

API deployment

Compare hosts & latency

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

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Category Scores

Benchmark Results

Live Specs & Architecture

Under the hood
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.25/1M tokens.
Release date
Aug 10, 2026
Parameters
Not disclosed
License
Proprietary
Context Window
262,144 tokens
Max Output
65,536 tokens
Modalities
text + image
Cache Pricing
read $0.25 · write $3.125 /1M
Reasoning
Effort levels
Input Price
$2.5/M
Output Price
$10/M
Output Speed
65 t/s
Time to First Token
—
Data Updated
Oct 26, 2026

Estimated monthly bill

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

Cite & embed

GitHub Markdown badge
Loading badge markdown...
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}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

Preview
Muse Spark 1.3 (xhigh) LLMPodium Score
Markdown
Loading badge snippet...
HTML
Loading badge snippet...

More from Muse

Alternative Models

Closest alternatives to Muse Spark 1.3 (xhigh) based on capabilities, pricing, and benchmark scores.

0 / 4