Muse Spark 1.1 API Benchmarks, Pricing & Provider Data
Compare Muse Spark 1.1 with another model
Choose a model to open its comparison page.
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...
Category Performance
Observed-capability estimates with uncertainty reported separately from independent benchmark families.
- Coverage
- 5 / 8
- Methodology
- V3.0
#1Knowledge63.3Provisional1/4 Measured dimensions
#2Agents61.6RatedGlobal rank #103/4 Measured dimensions
#3Coding58Estimated3/4 Measured dimensions
#4Reasoning57.5Estimated2/4 Measured dimensions
#5Multimodal56.5Provisional1/4 Measured dimensions
Specifications
Input and output token limits for this model, plus how it ranks on long-context understanding.
Features
Rankings
Excels at
It's decent at
Falls behind in
Detailed scores
Updated: Sep 13, 2026Overall
undefined metric} other undefined metrics}}
Overall score72.0#14 / 112DeepSWE53.3#17 / 21
Overall
undefined metric} other undefined metrics}}
Pricing
undefined metric} other undefined metrics}}
Input price$1.25/M#123 / 186Output price$4.25/M#116 / 186
Pricing
undefined metric} other undefined metrics}}
Agents
V3.0undefined metric} other undefined metrics}} · Rated
Score61.6#1080% interval54.2–68.93/4 Measured dimensionsAgentic score76.1#24 / 77Terminal-Bench 2.080.0#10 / 53
Agents
V3.0undefined metric} other undefined metrics}} · Rated
Coding
V3.0undefined metric} other undefined metrics}} · Estimated
Score5880% interval48.8–67.33/4 Measured dimensionsSciCode58.8%#5 / 89Coding score56.6#34 / 87
Coding
V3.0undefined metric} other undefined metrics}} · Estimated
Reasoning
V3.0undefined metric} other undefined metrics}} · Estimated
Score57.580% interval47.4–67.72/4 Measured dimensionsGPQA89.8%#37 / 218HLE46.2%#14 / 216
Reasoning
V3.0undefined metric} other undefined metrics}} · Estimated
Knowledge
V3.0undefined metric} other undefined metrics}} · Provisional
Score63.380% interval49.3–77.31/4 Measured dimensionsKnowledge score90.6#3 / 83HLE w/o tools52.2#3 / 22
Knowledge
V3.0undefined metric} other undefined metrics}} · Provisional
Math
V3.0undefined metric} other undefined metrics}} · No data
No data80% interval30.8–69.20/4 Measured dimensions
Math
V3.0undefined metric} other undefined metrics}} · No data
Multilingual
V3.0undefined metric} other undefined metrics}} · No data
No data80% interval30.8–69.20/4 Measured dimensions
Multilingual
V3.0undefined metric} other undefined metrics}} · No data
Multimodal
V3.0undefined metric} other undefined metrics}} · Provisional
Score56.580% interval40.4–72.61/4 Measured dimensionsMultimodal Grounded score77.5#16 / 56CharXiv88.4#8 / 30
Multimodal
V3.0undefined metric} other undefined metrics}} · Provisional
Instruction following
V3.0undefined metric} other undefined metrics}} · No data
No data80% interval30.8–69.20/4 Measured dimensions
Instruction following
V3.0undefined metric} other undefined metrics}} · No data
OpenRouter endpoints
1 endpointsThird-party OpenRouter endpoint data, shown separately from LMSpeed measurements. Some 30-minute live performance fields only appear after syncing with an OpenRouter API key.
| Provider endpoint | Input | Output | 1d uptime | 30m latency | 30m throughput | Context / output |
|---|---|---|---|---|---|---|
Meta meta | $1.25/M | $4.25/M | 100% | — | — | undefined tokens / undefined tokens |
Alternatives & Similar Models
GPT-5.4
gpt-5-4
OpenAI GPT-5.4 extends the GPT-5 family with stronger instruction following, deeper tool use, and improved performance on coding, math, and long-document analysis.
GPT-5.3 Codex
gpt-5-3-codex
OpenAI GPT-5.3 Codex is a code-specialized variant in the GPT-5 series, optimized for code generation, debugging, and software development tasks.
GPT-5.4 Mini
gpt-5-4-mini
OpenAI GPT-5.4 Mini is a compact language model in the GPT-5 series, optimized for quick responses and high throughput.
DeepSeek V4 Flash
deepseek-v4-flash
DeepSeek V4 Flash is a fast, cost-efficient language model in the DeepSeek V4 family, optimized for low-latency chat, coding assistance, and high-throughput API workloads while retaining strong reasoning quality.
Claude Opus 4.6
claude-opus-4-6
Anthropic Claude Opus 4.6 is the most capable Claude Opus tier, optimized for complex analysis, long-horizon coding, and high-stakes enterprise reasoning workloads.
Claude Sonnet 4.6
claude-sonnet-4-6
Anthropic Claude Sonnet 4.6 extends the Sonnet line with improved tool use, coding reliability, and long-context performance for everyday production workloads.
