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GPT-5.6 Sol 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: GPT-5.6 Sol 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.
GPT-5.6 Sol compared with Muse Spark 1.3GPT-5.6 Sol against Muse Spark 1.3 on 9 measures. GPT-5.6 Sol is better on 2, Muse Spark 1.3 on 4, 3 are too close to call, 0 have no data for one side.
  • GPT-5.6 Sol
  • Muse Spark 1.3
  1. Epoch Capabilities IndexGPT-5.6 Sol leads

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

    GPT-5.6 Sol:
    Better: 162.8
    Muse Spark 1.3:
    157.2
  2. Arena text ratingMuse Spark 1.3 leads

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

    GPT-5.6 Sol:
    1485
    Muse Spark 1.3:
    Better: 1496
  3. Arena coding 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.

    GPT-5.6 Sol:
    1534
    Muse Spark 1.3:
    1536
  4. Arena web development ratingMuse Spark 1.3 leads

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

    GPT-5.6 Sol:
    1615
    Muse Spark 1.3:
    Better: 1657
  5. Arena vision 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.

    GPT-5.6 Sol:
    1286
    Muse Spark 1.3:
    1290
  6. FrontierMath (Tiers 1-3)GPT-5.6 Sol leads

    Original, very hard maths problems written by mathematicians.

    GPT-5.6 Sol:
    Better: 89.1%
    Muse Spark 1.3:
    74.4%
  7. OTIS Mock AIMEToo close to call

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

    GPT-5.6 Sol:
    100.0%
    Muse Spark 1.3:
    99.2%
  8. Blended price per million tokensMuse Spark 1.3 costs less

    Blended price: lower is better.

    GPT-5.6 Sol:
    $8.00
    Muse Spark 1.3:
    Better: $2.00
  9. Context windowMuse Spark 1.3 leads

    How much text it can read at once.

    GPT-5.6 Sol:
    922K tokens
    Muse Spark 1.3:
    Better: 1M tokens
Data updated 26 Oct 2026. Only measures that both models have are shown.

The numbers

GPT-5.6 Sol against Muse Spark 1.3, measure by measure. A check mark shows the better side.
MeasureGPT-5.6 SolMuse Spark 1.3
Epoch Capabilities Index162.8157.2
Arena text rating14851496
Arena coding ratingToo close to call15341536
Arena web development rating16151657
Arena vision ratingToo close to call12861290
FrontierMath (Tiers 1-3)89.1%74.4%
OTIS Mock AIMEToo close to call100.0%99.2%
Blended price per million tokens$8.00$2.00
Context window922K 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 GPT-5.6 Sol
$1.40
Blended price $8.00 per million tokens.
100 chats with Muse Spark 1.3
$0.34
Blended price $2.00 per million tokens.

Who should pick which

Pick GPT-5.6 Sol if these matter most

  • Epoch Capabilities Index: 162.8 against 157.2
  • FrontierMath (Tiers 1-3): 89.1% against 74.4%

Pick Muse Spark 1.3 if these matter most

  • Arena text rating: 1496 against 1485
  • Arena web development rating: 1657 against 1615
  • Blended price per million tokens: $2.00 against $8.00
  • Context window: 1M tokens against 922K tokens

Too close to call: Arena coding rating, Arena vision rating, OTIS Mock AIME.

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, GPT-5.6 Sol or Muse Spark 1.3?
On quality, neither model leads clearly across the 7 measures both have. 3 measures are too close to call. Muse Spark 1.3 costs about 75% less than GPT-5.6 Sol on a blended price of $2.00 against $8.00 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, GPT-5.6 Sol or Muse Spark 1.3?
Muse Spark 1.3 is cheaper on blended price: $8.00 per million tokens for GPT-5.6 Sol against $2.00 for Muse Spark 1.3. For 100 chats of about 1,000 tokens in and 500 tokens back, that is about $1.40 for GPT-5.6 Sol and $0.34 for Muse Spark 1.3.
Which is better for coding, GPT-5.6 Sol or Muse Spark 1.3?
On Arena coding rating they are too close to call (1534 and 1536).

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: 26 Oct 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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