SHARE THIS:

Muse Spark Open vs MiniMax M3.1 Flash

Detailed technical comparison between Muse Spark Open (Meta) and MiniMax M3.1 Flash (MiniMax). 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: 0 WinsvsMiniMax M3.1 Flash: 6 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

MiniMax M3.1 Flash

$0.07 / 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 →
MiniMaxactive

MiniMax M3.1 Flash

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...

View MiniMax M3.1 Flash Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationMuse Spark OpenMiniMax M3.1 Flash
ProviderMetaMiniMax
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 apimanaged api
Production StabilityNot verifiedNot verified
API AvailableYesYes
Released Date2026-10-152026-10-19

API Pricing Comparison

Input Price per Million Tokens

Muse Spark Open

$1.25

MiniMax M3.1 Flash

$0.07

Output Price per Million Tokens

Muse Spark Open

$4.25

MiniMax M3.1 Flash

$0.30

💡 Cost Ratio: MiniMax M3.1 Flash is 16.7x 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%vs87.6%+6.0% MiniMax M3.1 Flash
Muse Spark Open
MiniMax M3.1 Flash 🏆
HumanEvalPython coding & logic synthesis
76.4%vs86.8%+10.4% MiniMax M3.1 Flash
Muse Spark Open
MiniMax M3.1 Flash 🏆
MATHComplex mathematical problem solving
53.6%vs68.0%+14.4% MiniMax M3.1 Flash
Muse Spark Open
MiniMax M3.1 Flash 🏆
GPQAGraduate-level expert reasoning
39.0%vs49.4%+10.4% MiniMax M3.1 Flash
Muse Spark Open
MiniMax M3.1 Flash 🏆
HellaSwagCommonsense reasoning and inference
81.2%vs88.6%+7.4% MiniMax M3.1 Flash
Muse Spark Open
MiniMax M3.1 Flash 🏆
MT-BenchMulti-turn conversation flow quality
8.4%vs9.1%+0.7% MiniMax M3.1 Flash
Muse Spark Open
MiniMax M3.1 Flash 🏆

Muse Spark Open Quirks & Gotchas

No developer gotchas reported.

MiniMax M3.1 Flash Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons