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Muse Spark 1.3 vs DeepSeek V4.1 Flash

Detailed technical comparison between Muse Spark 1.3 (Meta) and DeepSeek V4.1 Flash (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Muse Spark 1.3: 6 WinsvsDeepSeek V4.1 Flash: 0 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V4.1 Flash

$0.15 / MTok
Metaactive

Muse Spark 1.3

Muse Spark 1.3 is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Muse Spark 1.3 represents a key architectural iteration in the Meta model family. First released in 2026-09-02, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Muse Spark 1.3 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Muse Spark 1.3 Full Specs →
DeepSeekactive

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek V4.1 Flash represents a key architectural iteration in the DeepSeek model family. First released in 2026-09-10, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), DeepSeek V4.1 Flash processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek V4.1 Flash Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationMuse Spark 1.3DeepSeek V4.1 Flash
ProviderMetaDeepSeek
Context Window1,048,576 tokens1,048,576 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-09-022026-09-10

API Pricing Comparison

Input Price per Million Tokens

Muse Spark 1.3

$1.25

DeepSeek V4.1 Flash

$0.15

Output Price per Million Tokens

Muse Spark 1.3

$4.25

DeepSeek V4.1 Flash

$0.60

💡 Cost Ratio: DeepSeek V4.1 Flash is 8.3x cheaper per input token than Muse Spark 1.3.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
90.5%vs72.8%+17.7% Muse Spark 1.3
Muse Spark 1.3 🏆
DeepSeek V4.1 Flash
HumanEvalPython coding & logic synthesis
92.0%vs69.0%+23.0% Muse Spark 1.3
Muse Spark 1.3 🏆
DeepSeek V4.1 Flash
MATHComplex mathematical problem solving
86.5%vs42.2%+44.3% Muse Spark 1.3
Muse Spark 1.3 🏆
DeepSeek V4.1 Flash
GPQAGraduate-level expert reasoning
68.0%vs29.6%+38.4% Muse Spark 1.3
Muse Spark 1.3 🏆
DeepSeek V4.1 Flash
HellaSwagCommonsense reasoning and inference
92.4%vs76.8%+15.6% Muse Spark 1.3
Muse Spark 1.3 🏆
DeepSeek V4.1 Flash
MT-BenchMulti-turn conversation flow quality
9.3%vs7.9%+1.4% Muse Spark 1.3
Muse Spark 1.3 🏆
DeepSeek V4.1 Flash

Muse Spark 1.3 Quirks & Gotchas

No developer gotchas reported.

DeepSeek V4.1 Flash Quirks & Gotchas

No developer gotchas reported.

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