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Muse Spark vs Step 5 Preview

Updated November 5, 2026. Rank says Muse Spark is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

Muse Spark has the higher public point estimate, 60.14 versus 56.81. Their conditional score ranges overlap. These ranges do not establish rank confidence. 4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Meta logo
Muse Spark

Meta

60.14/100

Supported · Public rank #54

90% interval 50.0–70.3

Model B
StepFun logo
Step 5 Preview

StepFun

56.81/100

Estimated · Public rank #60

Conditional range 47.1–66.5

Shared results
4
Muse Spark only
21
Step 5 Preview only
20
Like-for-like categories
1 / 8
Supported: Muse Spark · Estimated: Step 5 Preview. Conditional ranges do not establish rank confidence.How the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Step 5 Preview

    Step 5 Preview has the larger documented context window.

    Confidence: documented
Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Step 5 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Step 5 Preview is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

49.7Muse Spark48.8Step 5 Preview

Directional only · BenchAlign v5.8

Muse Spark has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Open the coding leaderboardShortlist models for this job
Same basis rules as the category table below

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Knowledge

Like-for-like
Muse Spark
62.3
Supported · #43/177
Step 5 Preview
61.0
Supported · #44/177
Basis
BenchAlign v5.8 lane · 7 vs 2 public rows
Reading
Muse Spark leads · intervals overlap

Agentic

Directional only
Muse Spark
53.7
Supported · #46/135
Step 5 Preview
55.3
Estimated · #42/135
Basis
BenchAlign v5.8 lane · 5 vs 13 public rows
Reading
Directional only

Coding

Directional only
Muse Spark
49.7
Supported · #46/156
Step 5 Preview
48.8
Estimated · #47/156
Basis
BenchAlign v5.8 lane · 5 vs 6 public rows
Reading
Directional only

Multimodal

Directional only
Muse Spark
83.6
#15/58
Step 5 Preview
73.3
#32/58
Basis
Provisional lane · 2 vs 2 weighted rows
Reading
Directional only

Reasoning

Not comparable
Muse Spark
57.1
Unranked · 3 rankable rows
Step 5 Preview
82.5
Unranked · 2 rankable rows
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Muse Spark
Not ranked
Step 5 Preview
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Muse Spark
93.3
#11/157
Step 5 Preview
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Muse Spark
Not ranked
Step 5 Preview
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Muse Spark
API rate not published
Fits in one request
Step 5 Preview
$0.00235
Fits in one request

Muse Spark has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Muse Spark
API rate not published
Fits in one request
Step 5 Preview
$0.0581
Fits in one request

Muse Spark has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Muse Spark
API rate not published
Fits in one request
Cached-input rate unavailable
Step 5 Preview
$0.057
Fits in one request

Muse Spark has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Muse Spark

No comparable hosted API rate

Step 5 Preview

$0.05 per 1M cached input tokens

StepFun pricing and rate limits

Reasoning profile

Muse Spark

Reasoning

Step 5 Preview

Reasoning

Weight access

Muse Spark

Proprietary

Step 5 Preview

Open Weight

License

Muse Spark

Proprietary

Step 5 Preview

Open Weight

Release date

Muse Spark

2026-04-08

Step 5 Preview

2026-09-20

If you already use one of these models

Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Muse Spark has the higher public point estimate, 60.14 versus 56.81. Their conditional score ranges overlap. These ranges do not establish rank confidence.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Step 5 Preview has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Muse Spark or Step 5 Preview?

Muse Spark has the higher public point estimate, 60.14 versus 56.81. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Muse Spark or Step 5 Preview?

Muse Spark scores higher for coding on the public lane, 49.7 to 48.8. Step 5 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Muse Spark or Step 5 Preview?

Step 5 Preview scores higher for agentic tasks on the public lane, 55.3 to 53.7. Step 5 Preview is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Muse Spark or Step 5 Preview?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Muse Spark or Step 5 Preview?

Step 5 Preview has the larger documented context window: 1M, compared with 262K.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Muse Spark
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Step 5 Preview
API / mo$2,775
Self-host / mo$27,962
Break-even617M/day
Model the full break-even

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence45 rows

Agentic

  • Terminal-Bench 2.0

    Muse Spark59%
    Source
    Step 5 Preview—

    Not directly comparable

  • τ²-bench results

    Muse Spark91.5%
    Source
    Step 5 Preview—

    Not directly comparable

  • DeepSearchQA

    Muse Spark74.8%
    Source
    Step 5 Preview—

    Not directly comparable

  • CyberGym

    Muse Spark43.5%
    Source
    Step 5 Preview84.7%
    Source

    Step 5 Preview leads this result

  • Claw-Eval

    Muse Spark63.8%
    Source
    Step 5 Preview—

    Not directly comparable

  • Terminal-Bench 2.1

    Muse Spark—
    Step 5 Preview85.0%
    Source

    Not directly comparable

  • Terminal-Bench 4.0

    Muse Spark—
    Step 5 Preview33.30%
    Source

    Not directly comparable

  • AutomationBench

    Muse Spark—
    Step 5 Preview44.0%
    Source

    Not directly comparable

  • Toolathlon-Verified

    Muse Spark—
    Step 5 Preview74.1%
    Source

    Not directly comparable

  • MCP Atlas

    Muse Spark—
    Step 5 Preview85.6%
    Source

    Not directly comparable

  • JobBench

    Muse Spark—
    Step 5 Preview59.0%
    Source

    Not directly comparable

  • APEX-Agents

    Muse Spark—
    Step 5 Preview37.8%
    Source

    Not directly comparable

  • DRACO

    Muse Spark—
    Step 5 Preview83.3%
    Source

    Not directly comparable

  • BrowseComp

    Muse Spark—
    Step 5 Preview88.7%
    Source

    Not directly comparable

  • Agents' Last Exam

    Muse Spark—
    Step 5 Preview29.5%
    Source

    Not directly comparable

  • Hermes Index

    Muse Spark—
    Step 5 Preview32.8%
    Source

    Not directly comparable

  • Hermes Bench

    Muse Spark—
    Step 5 Preview69.2%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Muse Spark77.4%
    Source
    Step 5 Preview—

    Not directly comparable

  • SWE-bench Pro

    Muse Spark52.4%
    Source
    Step 5 Preview—

    Not directly comparable

  • LiveCodeBench Pro

    Muse Spark80.0%
    Source
    Step 5 Preview—

    Not directly comparable

  • Vibe Code Bench

    Muse Spark19.67%
    Source
    Step 5 Preview—

    Not directly comparable

  • SWE-bench (Vals)

    Muse Spark74.4%
    Source
    Step 5 Preview—

    Not directly comparable

  • DeepSWE

    Muse Spark—
    Step 5 Preview67.7%
    Source

    Not directly comparable

  • Terminal-Bench 2.1

    Muse Spark—
    Step 5 Preview85.0%
    Source

    Not directly comparable

  • SciCode

    Muse Spark—
    Step 5 Preview58.9%
    Source

    Not directly comparable

  • ProgramBench

    Muse Spark—
    Step 5 Preview80.5%
    Source

    Not directly comparable

  • sweMarathon

    Muse Spark—
    Step 5 Preview72.7%
    Source

    Not directly comparable

  • MLS-Bench Lite

    Muse Spark—
    Step 5 Preview40.5%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Muse Spark42.5%
    Source
    Step 5 Preview—

    Not directly comparable

  • CritPt

    Muse Spark—
    Step 5 Preview20.9%
    Source

    Not directly comparable

Multimodal

  • CharXiv

    Muse Spark86.4%
    Source
    Step 5 Preview—

    Not directly comparable

  • MMMU-Pro

    Muse Spark80.4%
    Source
    Step 5 Preview76%
    Source

    Muse Spark leads this result

  • ERQA

    Muse Spark64.7%
    Source
    Step 5 Preview—

    Not directly comparable

  • SimpleVQA

    Muse Spark71.3%
    Source
    Step 5 Preview—

    Not directly comparable

  • ScreenSpot Pro

    Muse Spark84.1%
    Source
    Step 5 Preview—

    Not directly comparable

  • ZeroBench

    Muse Spark33.0%
    Source
    Step 5 Preview—

    Not directly comparable

  • MedXpertQA (MM)

    Muse Spark78.4%
    Source
    Step 5 Preview—

    Not directly comparable

  • OfficeQA Pro

    Muse Spark—
    Step 5 Preview60.3%
    Source

    Not directly comparable

Knowledge

  • GPQA-D

    Muse Spark89.5%
    Source
    Step 5 Preview93.5%
    Source

    Step 5 Preview leads this result

  • HLE

    Muse Spark50.4%
    Source
    Step 5 Preview46.5%
    Source

    Muse Spark leads this result

  • HLE w/o tools

    Muse Spark42.8%
    Source
    Step 5 Preview—

    Not directly comparable

  • HealthBench Hard

    Muse Spark42.8%
    Source
    Step 5 Preview—

    Not directly comparable

  • MedXpertQA (Text)

    Muse Spark52.6%
    Source
    Step 5 Preview—

    Not directly comparable

  • GPQA Diamond (Vals)

    Muse Spark89.6%
    Source
    Step 5 Preview—

    Not directly comparable

  • MMLU-Pro (Vals)

    Muse Spark87.3%
    Source
    Step 5 Preview—

    Not directly comparable

45 public results · 4 shared

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Last updated November 5, 2026