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DeepSeek V4.1 Flash 1017 vs Muse Spark 1.3: Scores, Price and Which to Choose

Side by side on every measure both models share: overall score, human votes, tests, price and context window. Close results are called too close to call.

Data updated

Read the model pages for the full picture: DeepSeek V4.1 Flash 1017 and Muse Spark 1.3.

Side by side

A check mark shows the better side on each measure. Scores that are too close to call have no winner.
DeepSeek V4.1 Flash 1017 compared with Muse Spark 1.3DeepSeek V4.1 Flash 1017 against Muse Spark 1.3 on 6 measures. DeepSeek V4.1 Flash 1017 is better on 1, Muse Spark 1.3 on 1, 4 are too close to call, 0 have no data for one side.
  • DeepSeek V4.1 Flash 1017
  • Muse Spark 1.3
  1. Epoch Capabilities IndexToo close to call

    Combined score over many tests. Bar shows where it sits between the lowest and highest score we track.

    DeepSeek V4.1 Flash 1017:
    159.3
    Muse Spark 1.3:
    158.0
  2. Arena web development ratingToo close to call

    Rating from head-to-head votes by people. Bar shows where it sits between the lowest and highest score we track.

    DeepSeek V4.1 Flash 1017:
    1664
    Muse Spark 1.3:
    1654
  3. FrontierMath (Tiers 1-3)Muse Spark 1.3 leads

    Original, very hard maths problems written by mathematicians.

    DeepSeek V4.1 Flash 1017:
    71.2%
    Muse Spark 1.3:
    Better: 74.4%
  4. OTIS Mock AIMEToo close to call

    Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets.

    DeepSeek V4.1 Flash 1017:
    99.4%
    Muse Spark 1.3:
    99.2%
  5. Blended price per million tokensDeepSeek V4.1 Flash 1017 costs less

    Blended price: lower is better.

    DeepSeek V4.1 Flash 1017:
    Better: $0.52
    Muse Spark 1.3:
    $2.00
  6. Context windowToo close to call

    How much text it can read at once.

    DeepSeek V4.1 Flash 1017:
    1M tokens
    Muse Spark 1.3:
    1M tokens
Data updated 9 Nov 2026. Only measures that both models have are shown.

The numbers

DeepSeek V4.1 Flash 1017 against Muse Spark 1.3, measure by measure. A check mark shows the better side.
MeasureDeepSeek V4.1 Flash 1017Muse Spark 1.3
Epoch Capabilities IndexToo close to call159.3158.0
Arena web development ratingToo close to call16641654
FrontierMath (Tiers 1-3)71.2%74.4%
OTIS Mock AIMEToo close to call99.4%99.2%
Blended price per million tokens$0.52$2.00
Context windowToo close to call1M tokens1M tokens

What it costs in everyday terms

Estimate for 100 chats of about 1,000 tokens in and 500 tokens back, from list prices. Your bill depends on how you use it.
100 chats with DeepSeek V4.1 Flash 1017
$0.09
Blended price $0.52 per million tokens.
100 chats with Muse Spark 1.3
$0.34
Blended price $2.00 per million tokens.

Who should pick which

Pick DeepSeek V4.1 Flash 1017 if these matter most

  • Blended price per million tokens: $0.52 against $2.00

Pick Muse Spark 1.3 if these matter most

  • FrontierMath (Tiers 1-3): 74.4% against 71.2%

Too close to call: Epoch Capabilities Index, Arena web development rating, OTIS Mock AIME, Context window.

Scores come from tests and votes, not from your own work. Try both on a task you care about before you commit.

Questions about this comparison

Which is better, DeepSeek V4.1 Flash 1017 or Muse Spark 1.3?
Muse Spark 1.3 scores higher on 1 of 4 shared quality measures, DeepSeek V4.1 Flash 1017 on 0. 3 measures are too close to call. DeepSeek V4.1 Flash 1017 costs about 74% less than Muse Spark 1.3 on a blended price of $0.52 against $2.00 per million tokens. Which one is better for you depends on your task and budget, so test both on your own work.
Which is cheaper, DeepSeek V4.1 Flash 1017 or Muse Spark 1.3?
DeepSeek V4.1 Flash 1017 is cheaper on blended price: $0.52 per million tokens for DeepSeek V4.1 Flash 1017 against $2.00 for Muse Spark 1.3. For 100 chats of about 1,000 tokens in and 500 tokens back, that is about $0.09 for DeepSeek V4.1 Flash 1017 and $0.34 for Muse Spark 1.3.
Which can read longer documents, DeepSeek V4.1 Flash 1017 or Muse Spark 1.3?
DeepSeek V4.1 Flash 1017 has a context window of 1M tokens and Muse Spark 1.3 has 1M tokens.

Where this data comes from

  • Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
  • Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
  • LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 9 Nov 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake

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