Skip to main content

AI Rankings

Muse Spark 1.2: Score, Price and Context Window

Where Muse Spark 1.2 from Meta ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated

  • Meta
  • Closed weights
  • Released Aug 2026

Its score range overlaps with Qwen3.8 Max (0902), the model just above it, so a small gap in rank is not a meaningful difference.

Best for

  • Coding help: people rate its coding answers in the top 10% on Arena.
  • Questions about images: its Arena vision rating is in the top 10%.
  • Very long documents: its context window is 1M tokens, roughly 786,000 words.

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score
155.1
Rank 38 of 270. Likely range 152.8 to 157.6.
Human preference: chat
1491
Rank 10 of 166. 10,470 votes, at the "xHigh" setting.
Human preference: coding
1541
Rank 8 of 166. 2,687 votes, at the "xHigh" setting.
Human preference: web pages
1533
Rank 38 of 85. 2,163 votes, at the "xHigh" setting.
Human preference: images
1293
Rank 9 of 85. 1,948 votes, at the "xHigh" setting.
Price per million tokens
$1.25 in / $4.25 out
Blended $2.00. Cached input $0.15. List price from Meta, checked 26 Oct 2026.
Context window
1M tokens
About 786,000 words at once. One answer up to 131K tokens.
Weights
Closed
Used through the maker's apps or API (Epoch AI: API access).

Features listed by the price list: Image input, PDF input, Tool use, Reasoning, Web search, Prompt caching, Structured output.

How Muse Spark 1.2 stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.
Muse Spark 1.2 compared with all models we trackOverall capability: 155.1. Better than 86% of the other 269 models. Human preference: chat: 1491. Better than 94% of the other 165 models. Human preference: coding: 1541. Better than 95% of the other 165 models. Human preference: web pages: 1533. Better than 55% of the other 84 models. Human preference: images: 1293. Better than 90% of the other 84 models. Price: $2.00 per 1M. Cheaper than 35% of the other 200 priced models. Context window: 1M tokens. Larger context window than 84% of the other 198 models.
  • Overall capability155.1

    Better than 86% of the other 269 modelsTop 25%

    Epoch Capabilities Index: one score that combines many tests.

  • Human preference: chat1491

    Better than 94% of the other 165 modelsTop 10%

    How often people pick its answers over another model's on Arena.

  • Human preference: coding1541

    Better than 95% of the other 165 modelsTop 10%

    How often people pick its answers to coding questions on Arena.

  • Human preference: web pages1533

    Better than 55% of the other 84 modelsUpper half

    How often people pick the web pages and small apps it builds on Arena.

  • Human preference: images1293

    Better than 90% of the other 84 modelsTop 10%

    How often people pick its answers about pictures on Arena.

  • Price$2.00 per 1M

    Cheaper than 35% of the other 200 priced models

    Blended price per million tokens. Lower is better, so the cheapest models sit on the right.

  • Context window1M tokens

    Larger context window than 84% of the other 198 modelsTop 25%

    How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.
  • SimpleBench

    Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.

  • SimpleQA Verified

    Short factual questions that each have one correct answer. It measures how often a model gets facts right.

  • DeepSWE

    Software engineering tasks scored as the share solved on the first try (pass@1), run with the open mini-SWE-agent setup.

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.
100 chats
$0.34
Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book
$0.13
Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price
$2.00 per 1M
Three parts input to one part output. Our own calculation for comparing models.

Assumptions: 100 chats of about 1,000 tokens in and 500 tokens back. a 300-page book of about 100,000 tokens, read once with no reply.

Questions about Muse Spark 1.2

How much does Muse Spark 1.2 cost?
Muse Spark 1.2 costs $1.25 per million input tokens and $4.25 per million output tokens, using the list price from Meta as of 26 Oct 2026. That is about $0.34 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of Muse Spark 1.2?
Muse Spark 1.2 has a context window of 1M tokens, roughly 786,000 words of text read at once. A single answer can be up to 131K tokens long.
Is Muse Spark 1.2 open source?
We list Muse Spark 1.2 as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").
How good is Muse Spark 1.2 compared with other AI models?
On the Epoch Capabilities Index, Muse Spark 1.2 scores 155.1 (likely range 152.8 to 157.6), which ranks 38 of 270 models we track. On Arena's human-vote text board it is ranked 10 of 166. Scores close together are a tie in practice.
How does Muse Spark 1.2 compare with Qwen 3.8 Max?
Qwen 3.8 Max scores higher on 2 of 7 shared quality measures, Muse Spark 1.2 on 1. 4 measures are too close to call. Muse Spark 1.2 costs about 33% less than Qwen 3.8 Max on a blended price of $2.00 against $3.00 per million tokens. See the full comparison for every measure.
How current are these numbers for Muse Spark 1.2?
The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

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

We use optional cookies for analytics and referral tracking. Learn more about our privacy policy