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Comparison · 2 models · Updated Oct 4, 2026

DeepSeek V4 Pro 0813 vs Muse Spark 1.1

Too close to call on our weighted score (Muse Spark 1.1 70, DeepSeek V4 Pro 0813 68). The right pick depends on what you value most.

  1. DeepSeek

    DeepSeek V4 Pro 0813

    Released Aug 12, 2026

    68/100
    • ECI155.4
    • Price$0.66 / $1.98
    • Context1M
    Full specs Remove DeepSeek V4 Pro 0813

  2. 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

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (Muse Spark 1.1 70/100, DeepSeek V4 Pro 0813 68/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability and Muse Spark 1.1 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V4 Pro 0813Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.4 · Muse Spark 1.1 154.3
  • Lowest priceDeepSeek V4 Pro 0813DeepSeek V4 Pro 0813 $0.99 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.1Muse Spark 1.1 1,048,576 · DeepSeek V4 Pro 0813 1,000,000 tokens
  • Widest inputsMuse Spark 1.1DeepSeek V4 Pro 0813: Text · Muse Spark 1.1: Text, Images, PDFs, Video
  • Self-hostingDeepSeek V4 Pro 0813Publishes downloadable weights (MIT)
How the score is built
MeasureWeightDeepSeek V4 Pro 0813Muse Spark 1.1
CapabilityCapabilities Index (ECI)50%8584
Price25%5036
Inputs & features15%4590
Context window10%6061
Overall100%68/10070/100
02 — Side by side

Every spec in one table

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

DeepSeek V4 Pro 0813 vs Muse Spark 1.1 specifications side by side
SpecificationDeepSeek V4 Pro 0813DeepSeekMuse Spark 1.1Meta
Capability
Capabilities Index (ECI)155.4 (best)154.3
ECI rank#26 of 148 (best)#35 of 148
GPQA DiamondGraduate-level science questions91.7%—
FrontierMath Tiers 1–3Research-level mathematics64.6%—
OTIS Mock AIME 2024–2025Competition mathematics98.6%—
SimpleQA VerifiedShort factual questions52.9%57.8% (best)
Price per million tokens
Input$0.66 (best)$1.25
Output$1.98 (best)$4.25
Cached input$0.022 (best)$0.15
Blended (3:1)$0.99 (best)$2.00
Long-context rateSame rateSame rate
Price sourceOfficial DeepSeek APIOfficial Meta API
Limits
Context window1,000,000 tokens1,048,576 tokens (best)
Max output384,000 tokens (best)131,072 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoYes
ReasoningYeslow · high · maxYesminimal · low · medium · high · xhigh
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenMITProprietary
API model IDdeepseek-v4-promuse-spark-1.1
API providers37 (best)13
ReleasedAug 12, 2026Jul 9, 2026
Knowledge cutoff——
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.

  • DeepSeek V4 Pro 0813$10.56
  • Muse Spark 1.1$21.00
04 — Questions

Which should you choose?

Which is better: DeepSeek V4 Pro 0813 or Muse Spark 1.1?

It is close. Our weighted score puts them within 3 points (Muse Spark 1.1 70/100, DeepSeek V4 Pro 0813 68/100), so choose by what matters most for your work: DeepSeek V4 Pro 0813 for raw capability and Muse Spark 1.1 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek V4 Pro 0813 or Muse Spark 1.1?

DeepSeek V4 Pro 0813 is cheaper at $0.66 input / $1.98 output per million tokens (official DeepSeek API price). 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 $0.99 per million tokens for DeepSeek V4 Pro 0813 versus $2.00 for Muse Spark 1.1 (2× as much).

Which scores higher on benchmarks?

DeepSeek V4 Pro 0813 scores higher on the Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.4 (#26 of 148) and Muse Spark 1.1 154.3 (#35 of 148). The confidence ranges of the top two overlap (153.7–157.6 vs 152.2–157.1), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Muse Spark 1.1 57.8%, DeepSeek V4 Pro 0813 52.9%.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek V4 Pro 0813 and Muse Spark 1.1 yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Pro 0813 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 1,000,000 for DeepSeek V4 Pro 0813. Maximum output per response: DeepSeek V4 Pro 0813 up to 384,000, Muse Spark 1.1 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V4 Pro 0813 accepts text; Muse Spark 1.1 accepts text, images, PDFs and video. Muse Spark 1.1 handles the widest range of inputs.

Are any of these open source?

DeepSeek V4 Pro 0813 publishes its weights (MIT) and can be self-hosted; Muse Spark 1.1 is proprietary.

Which is newer?

DeepSeek V4 Pro 0813 is the newest, released Aug 12, 2026. Muse Spark 1.1 came out Jul 9, 2026.

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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