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DeepSeek V4 Flash 0731 vs Muse Spark 1.1

Detailed technical comparison between DeepSeek V4 Flash 0731 (DeepSeek) and Muse Spark 1.1 (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

DeepSeek V4 Flash 0731: 0 WinsvsMuse Spark 1.1: 6 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V4 Flash 0731

$0.09 / MTok
DeepSeekactive

DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek V4 Flash 0731 represents a key architectural iteration in the DeepSeek model family. First released in 2026-07-31, 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 Flash 0731 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek V4 Flash 0731 Full Specs โ†’
Metaactive

Muse Spark 1.1

Muse Spark 1.1 is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Muse Spark 1.1 represents a key architectural iteration in the Meta model family. First released in 2026-07-16, 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 1.1 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Muse Spark 1.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationDeepSeek V4 Flash 0731Muse Spark 1.1
ProviderDeepSeekMeta
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 Modelself hostablemanaged api
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-07-312026-07-16

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Flash 0731

$0.09

Muse Spark 1.1

$1.25

Output Price per Million Tokens

DeepSeek V4 Flash 0731

$0.18

Muse Spark 1.1

$4.25

๐Ÿ’ก Cost Ratio: DeepSeek V4 Flash 0731 is 13.9x cheaper per input token than Muse Spark 1.1.

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 (0โ€“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
73.0%vs81.2%+8.2% Muse Spark 1.1
DeepSeek V4 Flash 0731
Muse Spark 1.1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
69.2%vs79.4%+10.2% Muse Spark 1.1
DeepSeek V4 Flash 0731
Muse Spark 1.1 ๐Ÿ†
MATHComplex mathematical problem solving
42.4%vs56.6%+14.2% Muse Spark 1.1
DeepSeek V4 Flash 0731
Muse Spark 1.1 ๐Ÿ†
GPQAGraduate-level expert reasoning
29.8%vs38.6%+8.8% Muse Spark 1.1
DeepSeek V4 Flash 0731
Muse Spark 1.1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
77.0%vs80.8%+3.8% Muse Spark 1.1
DeepSeek V4 Flash 0731
Muse Spark 1.1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.0%vs8.3%+0.4% Muse Spark 1.1
DeepSeek V4 Flash 0731
Muse Spark 1.1 ๐Ÿ†

DeepSeek V4 Flash 0731 Quirks & Gotchas

No developer gotchas reported.

Muse Spark 1.1 Quirks & Gotchas

No developer gotchas reported.

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