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Comparison · 2 models · Updated Oct 4, 2026

Muse Spark 1.1 vs DeepSeek-R1

Muse Spark 1.1 comes out ahead, 70 to 51 on our weighted score, though DeepSeek-R1 is 41% cheaper per token.

  1. Our pick

    Meta

    Muse Spark 1.1

    Released Jul 9, 2026

    70/100
    • ECI154.3
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark 1.1

  2. DeepSeek

    DeepSeek-R1

    Released Jan 20, 2025

    51/100
    • ECI139.0
    • Price$0.70 / $2.60
    • Context128K
    Full specs Remove DeepSeek-R1

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Muse Spark 1.1 is our pick

Muse Spark 1.1 is the better all-round choice, scoring 70/100 against DeepSeek-R1 (51). It leads on capability, inputs & features and context window. DeepSeek-R1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse Spark 1.1Capabilities Index (ECI): Muse Spark 1.1 154.3 · DeepSeek-R1 139.0
  • Lowest priceDeepSeek-R1DeepSeek-R1 $1.18 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.1Muse Spark 1.1 1,048,576 · DeepSeek-R1 128,000 tokens
  • Widest inputsMuse Spark 1.1Muse Spark 1.1: Text, Images, PDFs, Video · DeepSeek-R1: Text
  • Self-hostingDeepSeek-R1Publishes downloadable weights
How the score is built
MeasureWeightMuse Spark 1.1DeepSeek-R1
CapabilityCapabilities Index (ECI)50%8464
Price25%3647
Inputs & features15%9035
Context window10%6124
Overall100%70/10051/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Muse Spark 1.1 vs DeepSeek-R1 specifications side by side
SpecificationMuse Spark 1.1MetaDeepSeek-R1DeepSeek
Capability
Capabilities Index (ECI)154.3 (best)139.0
ECI rank#35 of 148 (best)#104 of 148
GPQA DiamondGraduate-level science questions—71.7%
OTIS Mock AIME 2024–2025Competition mathematics—53.3%
SimpleQA VerifiedShort factual questions57.8%—
Price per million tokens
Input$1.25$0.70 (best)
Output$4.25$2.60 (best)
Cached input$0.15—
Blended (3:1)$2.00$1.18 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Meta APIMedian of 11 providers
Limits
Context window1,048,576 tokens (best)128,000 tokens
Max output131,072 tokens (best)32,768 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioNoNo
VideoYesNo
ReasoningYesminimal · low · medium · high · xhighYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpen
API model IDmuse-spark-1.1—
API providers13 (best)12
ReleasedJul 9, 2026Jan 20, 2025
Knowledge cutoff—Jul 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Muse Spark 1.1$21.00
  • DeepSeek-R1$12.20
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.1 or DeepSeek-R1?

Muse Spark 1.1 is the better all-round choice, scoring 70/100 against DeepSeek-R1 (51). It leads on capability, inputs & features and context window. DeepSeek-R1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.1 or DeepSeek-R1?

DeepSeek-R1 is cheaper at $0.70 input / $2.60 output per million tokens (median across 11 API providers). Muse Spark 1.1 costs $1.25 input / $4.25 output per million tokens (official Meta API price). At a typical mix of three input tokens to one output token, that is $1.18 per million tokens for DeepSeek-R1 versus $2.00 for Muse Spark 1.1 (1.7× as much).

Which scores higher on benchmarks?

Muse Spark 1.1 scores higher on the Capabilities Index (ECI): Muse Spark 1.1 154.3 (#35 of 148) and DeepSeek-R1 139.0 (#104 of 148). Their confidence ranges do not overlap (152.2–157.1 vs 136.2–140.4), so the gap is a real one.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.1 and DeepSeek-R1 yet, so there is no like-for-like coding score. On overall capability, Muse Spark 1.1 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Muse Spark 1.1 has the largest context window at 1,048,576 tokens, against 128,000 for DeepSeek-R1. Maximum output per response: Muse Spark 1.1 up to 131,072, DeepSeek-R1 up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Muse Spark 1.1 accepts text, images, PDFs and video; DeepSeek-R1 accepts text. Muse Spark 1.1 handles the widest range of inputs.

Are any of these open source?

DeepSeek-R1 publishes its weights and can be self-hosted; Muse Spark 1.1 is proprietary.

Which is newer?

Muse Spark 1.1 is the newest, released Jul 9, 2026. DeepSeek-R1 came out Jan 20, 2025. Knowledge cutoff: DeepSeek-R1 Jul 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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