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Model comparison

DeepSeek V4 Pro vs Muse Spark 1.3

DeepSeek against Meta, compared on context, price, and verified benchmark results.

Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

DeepSeek

DeepSeek V4 Pro

Frontier · Open weights

vs

Meta

Muse Spark 1.3

Frontier

AI model capability comparison
SpecificationDeepSeek V4 ProMuse Spark 1.3
ProviderDeepSeekMeta
TierFrontierFrontier
Context window1MWinner: 1.05M
Max outputWinner: 384K131K
Input / 1M tokens$1.32Winner: $1.25
Output / 1M tokensWinner: $3.96$4.25
WeightsOpenClosed
Parameters1.6T total / 49B active (MoE)Meta frontier model
Reasoning levelslow, high, maxminimal, low, medium, high, xhigh, max
Modalitiestexttext, image, video, audio, pdf
LicenseMITNot disclosedUnverified
API model iddeepseek-v4-promuse-spark-1.3
ReleasedApril 24, 2026September 2, 2026
Artificial Analysis Intelligence Index [max] (2026-09-26)36Winner: 48.1
SWE-bench Verified (2026-04-24)80.6Not verifiedUnverified
GPQA Diamond (2026-04-24)90.1Not verifiedUnverified
Humanity's Last Exam (2026-04-24)48.2Not verifiedUnverified
MMLU-Pro (2026-04-24)87.5Not verifiedUnverified
DeepSWE 1.1 (2026-09-02)Not verifiedUnverified75.4
Terminal-Bench 2.1 (2026-09-03)Not verifiedUnverified88.8

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. 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.

Pricing tiers

DeepSeek V4 Pro: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Cache hit $0.044 peak / $0.022 off-peak. Peak hours are weekdays 01:00–04:00 and 06:00–10:00 UTC. Open weights (MIT). 1.6T/49B active MoE.

Muse Spark 1.3: $1.25/$4.25 per MTok on Meta's Model API (Standard tier; cached input $0.15); a $0.10/$0.20 'contributor' tier applies when your data is used for training. Meta's pricing page lists no long-context premium and no scheduled price change.

FrontierOpen weightsRecord checked September 26, 2026

DeepSeek V4 Pro

DeepSeek V4 Pro is DeepSeek's large open-weight (MIT) MoE with a 1M-token context — DeepSeek says the cheaper V4.1-Flash now beats it.

Best for

  • Cost-sensitive hosted agents
  • Open-weight deployments
  • High-volume coding

Watch out

On 2026-09-10 DeepSeek said it is phasing out V4-Pro (it later reversed the 2026-09-14 re-route and still serves it); plan new work on V4.1-Flash. Self-hosting needs datacentre VRAM.

FrontierRecord checked September 26, 2026

Muse Spark 1.3

Muse Spark 1.3 is Meta's September 2026 frontier refresh — a self-reported DeepSWE 1.1 field leader at $1.25/$4.25, with a 1M-token context aimed at autonomous agent workflows.

Best for

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

Watch out

The headline 75.4% DeepSWE score comes from the 'max' thinking mode, which is not broadly available yet and is pending independent verification. The 131,072 output cap is per third-party API docs — Meta's own spec page does not publish it. Closed weights.

When the cheaper one wins

DeepSeek V4 Pro is cheaper on output at $3.96 per million tokens against $4.25 for Muse Spark 1.3 — about 1.1×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

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Evidence confidence: High

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.
  • 5/5 core specs verified on both sides — All core specifications verified for both models.
  • 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 days — Newest catalog check was 2 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.

Related comparisons

Diving deeper on one model? DeepSeek V4 Pro · Muse Spark 1.3

Common questions

DeepSeek V4 Pro vs Muse Spark 1.3

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

Is DeepSeek V4 Pro or Muse Spark 1.3 cheaper for input?
Muse Spark 1.3 is cheaper at $1.25 per million input tokens, against $1.32 for DeepSeek V4 Pro — roughly 1.1× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; DeepSeek V4 Pro has tiered pricing: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Cache hit $0.044 peak / $0.022 off-peak. Peak hours are weekdays 01:00–04:00 and 06:00–10:00 UTC. Open weights (MIT). 1.6T/49B active MoE. Muse Spark 1.3 has tiered pricing: $1.25/$4.25 per MTok on Meta's Model API (Standard tier; cached input $0.15); a $0.10/$0.20 'contributor' tier applies when your data is used for training. Meta's pricing page lists no long-context premium and no scheduled price change.
Is DeepSeek V4 Pro or Muse Spark 1.3 cheaper for output?
DeepSeek V4 Pro is cheaper at $3.96 per million output tokens, against $4.25 for Muse Spark 1.3 — roughly 1.1× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; DeepSeek V4 Pro has tiered pricing: Official peak rates $1.32/$3.96 per MTok; off-peak $0.66/$1.98 (cache-miss). Cache hit $0.044 peak / $0.022 off-peak. Peak hours are weekdays 01:00–04:00 and 06:00–10:00 UTC. Open weights (MIT). 1.6T/49B active MoE. Muse Spark 1.3 has tiered pricing: $1.25/$4.25 per MTok on Meta's Model API (Standard tier; cached input $0.15); a $0.10/$0.20 'contributor' tier applies when your data is used for training. Meta's pricing page lists no long-context premium and no scheduled price change.
Which has the larger context window, DeepSeek V4 Pro or Muse Spark 1.3?
Muse Spark 1.3 accepts 1.05M tokens against 1M for DeepSeek V4 Pro. This only matters if you routinely send very long documents or large codebases.
Do DeepSeek V4 Pro and Muse Spark 1.3 support the same reasoning levels?
DeepSeek V4 Pro exposes low, high, max, while Muse Spark 1.3 exposes minimal, low, medium, high, xhigh, max.
Should I use DeepSeek V4 Pro or Muse Spark 1.3?
Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. DeepSeek V4 Pro suits cost-sensitive hosted agents; Muse Spark 1.3 suits long-horizon coding agents.
Can I self-host DeepSeek V4 Pro or Muse Spark 1.3?
DeepSeek V4 Pro publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. Muse Spark 1.3 is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

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

  • Input price: Muse Spark 1.3 costs $1.25 per 1M tokens versus $1.32 for DeepSeek V4 Pro — a 1.1x difference at the headline tier.
  • Context: Muse Spark 1.3 takes 1.05M against 1M for DeepSeek V4 Pro — only decisive if your prompts approach the smaller window.
  • Deployment: DeepSeek V4 Pro publishes weights you can self-host; the other is API-only.
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