Model comparison

Muse Spark 1.2 vs Muse Spark 1.3

Two Meta tiers compared on the figures that decide which one a workload actually needs.

Recorded profile verification October 2, 2026Individual provider fields may changeEvidence confidence: Medium — see receipts below

Meta

Muse Spark 1.3

Frontier

AI model capability comparison
Specification	Muse Spark 1.2	Muse Spark 1.3
Provider
Provider	Meta	Meta
Tier
Tier	Frontier	Frontier
Context window
Context window	1.05M	1.05M
Max output
Max output	Not verifiedUnverified	Not verifiedUnverified
Input / 1M tokens
Input / 1M tokens	$1.25	$1.25
Output / 1M tokens
Output / 1M tokens	$4.25	$4.25
Weights
Weights	Closed	Closed
Parameters
Parameters	Not verifiedUnverified	Not verifiedUnverified
Reasoning levels
Reasoning levels	minimal, low, medium, high, xhigh	minimal, low, medium, high, xhigh, max
Modalities
Modalities	text, image, video, audio, pdf	text, image, video, audio, pdf
API model id
API model id	muse-spark-1.2	muse-spark-1.3
Released
Released	August 5, 2026	September 2, 2026
Artificial Analysis Intelligence Index [max] · source date Muse Spark 1.3: 2026-10-01
Artificial Analysis Intelligence Index [max] · source date Muse Spark 1.3: 2026-10-01	Not verifiedUnverified	48
DeepSWE 1.1 · source date Muse Spark 1.3: 2026-09-02
DeepSWE 1.1 · source date Muse Spark 1.3: 2026-09-02	Not verifiedUnverified	75.4

Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Where each score comes from, and how far it can be compared across models.

Source date2026-10-01
Artificial Analysis (Muse Spark 1.3 (max))
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check the cited source and its date.
Source date2026-09-02
Meta launch table (Meta max / mini-swe-agent; vendor chart 75.4 versus Spark 1.2 xhigh 55.0; source publication September 2, experiment date unverified; separate from Datacurve xhigh row)
Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task.
Directly comparable

Pricing tiers

Muse Spark 1.2: Meta Standard $1.25/$4.25 per MTok, cached $0.15; no long-context premium. Separate muse-spark-1.2-contributor is $0.10/$0.20, cached $0.002, granting training permission for prompts/completions. Search grounding adds $2.50 per 1,000 queries.

Muse Spark 1.3: Meta Standard $1.25/$4.25 per MTok, cached $0.15; prompts/completions are not used for training. Contributor uses a distinct SKU at $0.10/$0.20, cached $0.002, and permits training on prompts/completions. No long-context premium. Search grounding adds $2.50 per 1,000 queries.

FrontierRecord checked October 2, 2026

Muse Spark 1.2

Muse Spark 1.2 is Meta's previous version, still listed on the Model API alongside the 1.3 refresh.

Best for

Frontier reasoning
Meta ecosystem
Agentic work

Watch out

Closed weights and still in the current public catalog. Minimal/low/medium/high/xhigh are supported; none returns HTTP 400. Max is restricted to Standard Spark 1.3. Audio is listed without 1.3's degradation warning. Reasoning counts toward output budget and billing. Exact hard output cap and parameter count remain unverified; quotas are per team.

FrontierRecord checked October 2, 2026

Muse Spark 1.3

Muse Spark 1.3 is Meta's September 2026 frontier refresh with a 1M-token context for coding and agent workflows.

Best for

Long-horizon coding agents
Frontier quality below frontier pricing
Meta ecosystem

Watch out

Max effort is Standard Spark 1.3 only; Contributor and Spark 1.2 lack it. None returns HTTP 400; omitted effort is model-determined. Reasoning counts toward output budget and billing. Spark 1.3 audio may degrade; Meta directs audio work to 1.2 or Voice Transcribe. Standard 3,000 RPM/4M TPM versus Contributor 100 RPM/3M TPM quotas apply per team. Exact output cap and parameter count remain unknown. Meta's 75.4% DeepSWE max/mini-swe-agent report is separate from independent xhigh observations.

When the cheaper one wins

Both charge $4.25 per million output tokens at standard rates, so output price is not the split. Prefer the row whose “best for” line matches the job, then confirm the live vendor rate.

Run the model picker

Evidence confidence: Medium

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

Pricing verified on both sides — Input and output rates are verified for both models.
3/5 core specs verified on both sides — Not published for at least one side: max output, parameter count.
No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
Verified within the last 90 days — Older of the two catalog checks was 24 days ago.
Both models carry source citations — Each side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Muse Spark 1.2: Meta — Models (accessed 2026-10-01)
Muse Spark 1.2: Meta — Reasoning (accessed 2026-10-01)
Muse Spark 1.2: Meta — Pricing and rate limits (accessed 2026-10-01)
Muse Spark 1.2: Meta — Introducing Muse Code and Muse Spark 1.2 (accessed 2026-10-01)
Muse Spark 1.2: Meta — Chat completions schemas (accessed 2026-10-01)
Muse Spark 1.3: Meta — Models (accessed 2026-10-01)
Muse Spark 1.3: Meta — Pricing and rate limits (accessed 2026-10-01)
Muse Spark 1.3: Meta — Reasoning (accessed 2026-10-01)
Muse Spark 1.3: Meta — Chat completions schemas (accessed 2026-10-01)
Muse Spark 1.3: Meta — Introducing Muse Spark 1.3 (accessed 2026-10-01)
Muse Spark 1.3: Meta — Muse Spark 1.3 Multimodal Evaluation Methodology (accessed 2026-10-01)
Muse Spark 1.3: Meta — Meta vendor benchmark scorecard (visually checked) (accessed 2026-10-01)

Related comparisons

Diving deeper on one model? Muse Spark 1.2 · Muse Spark 1.3

Common questions

Muse Spark 1.2 vs Muse Spark 1.3

Answered from the verified figures on this page rather than general guidance.

Is Muse Spark 1.2 or Muse Spark 1.3 cheaper for input?

Both list a base rate of $1.25 per million input tokens. Actual cost can differ with context tiers, caching, tools and other charges. Muse Spark 1.2: Meta Standard $1.25/$4.25 per MTok, cached $0.15; no long-context premium. Separate muse-spark-1.2-contributor is $0.10/$0.20, cached $0.002, granting training permission for prompts/completions. Search grounding adds $2.50 per 1,000 queries. Muse Spark 1.3: Meta Standard $1.25/$4.25 per MTok, cached $0.15; prompts/completions are not used for training. Contributor uses a distinct SKU at $0.10/$0.20, cached $0.002, and permits training on prompts/completions. No long-context premium. Search grounding adds $2.50 per 1,000 queries.

Is Muse Spark 1.2 or Muse Spark 1.3 cheaper for output?

Both list a base rate of $4.25 per million output tokens. Actual cost can differ with context tiers, caching, tools and other charges. Muse Spark 1.2: Meta Standard $1.25/$4.25 per MTok, cached $0.15; no long-context premium. Separate muse-spark-1.2-contributor is $0.10/$0.20, cached $0.002, granting training permission for prompts/completions. Search grounding adds $2.50 per 1,000 queries. Muse Spark 1.3: Meta Standard $1.25/$4.25 per MTok, cached $0.15; prompts/completions are not used for training. Contributor uses a distinct SKU at $0.10/$0.20, cached $0.002, and permits training on prompts/completions. No long-context premium. Search grounding adds $2.50 per 1,000 queries.

Which has the larger context window, Muse Spark 1.2 or Muse Spark 1.3?

Both accept about 1.05M tokens of context, so document length will not decide between them.

Do Muse Spark 1.2 and Muse Spark 1.3 support the same reasoning levels?

Muse Spark 1.2 exposes minimal, low, medium, high, xhigh, while Muse Spark 1.3 exposes minimal, low, medium, high, xhigh, max.

Should I use Muse Spark 1.2 or Muse Spark 1.3?

Both are classified in our frontier tier; this editorial grouping does not imply equal capability. Muse Spark 1.2 is a candidate for frontier reasoning; Muse Spark 1.3 is a candidate for long-horizon coding agents. Compare accuracy, tool reliability, latency and cost on representative tasks.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

These two models match on every verified catalog figure — the decision comes down to provider preference, availability, and workload fit rather than published numbers.

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