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Muse Spark Open vs DeepSeek V4.1 Flash 1017

Detailed technical comparison between Muse Spark Open (Meta) and DeepSeek V4.1 Flash 1017 (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 Open: 6 WinsvsDeepSeek V4.1 Flash 1017: 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 1017

$0.15 / MTok
Metaactive

Muse Spark Open

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

View Muse Spark Open Full Specs →
DeepSeekactive

DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...

View DeepSeek V4.1 Flash 1017 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationMuse Spark OpenDeepSeek V4.1 Flash 1017
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 StabilityNot verifiedNot verified
API AvailableYesYes
Released Date2026-10-152026-10-17

API Pricing Comparison

Input Price per Million Tokens

Muse Spark Open

$1.25

DeepSeek V4.1 Flash 1017

$0.15

Output Price per Million Tokens

Muse Spark Open

$4.25

DeepSeek V4.1 Flash 1017

$0.60

💡 Cost Ratio: DeepSeek V4.1 Flash 1017 is 8.3x cheaper per input token than Muse Spark Open.

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
81.6%vs74.4%+7.2% Muse Spark Open
Muse Spark Open 🏆
DeepSeek V4.1 Flash 1017
HumanEvalPython coding & logic synthesis
76.4%vs70.6%+5.8% Muse Spark Open
Muse Spark Open 🏆
DeepSeek V4.1 Flash 1017
MATHComplex mathematical problem solving
53.6%vs43.8%+9.8% Muse Spark Open
Muse Spark Open 🏆
DeepSeek V4.1 Flash 1017
GPQAGraduate-level expert reasoning
39.0%vs31.2%+7.8% Muse Spark Open
Muse Spark Open 🏆
DeepSeek V4.1 Flash 1017
HellaSwagCommonsense reasoning and inference
81.2%vs78.4%+2.8% Muse Spark Open
Muse Spark Open 🏆
DeepSeek V4.1 Flash 1017
MT-BenchMulti-turn conversation flow quality
8.4%vs8.1%+0.3% Muse Spark Open
Muse Spark Open 🏆
DeepSeek V4.1 Flash 1017

Muse Spark Open Quirks & Gotchas

No developer gotchas reported.

DeepSeek V4.1 Flash 1017 Quirks & Gotchas

No developer gotchas reported.

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