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Mistral Large 4 vs Muse Spark Open

Detailed technical comparison between Mistral Large 4 (Mistral) and Muse Spark Open (Meta). 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

Mistral Large 4: 6 WinsvsMuse Spark Open: 0 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Mistral Large 4

$0.70 / MTok
Mistralactive

Mistral Large 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...

View Mistral Large 4 Full Specs →
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 →

Technical Specifications

🏆 = Superior Spec
SpecificationMistral Large 4Muse Spark Open
ProviderMistralMeta
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 StabilityNot verifiedNot verified
API AvailableYesYes
Released Date2026-10-062026-10-15

API Pricing Comparison

Input Price per Million Tokens

Mistral Large 4

$0.70

Muse Spark Open

$1.25

Output Price per Million Tokens

Mistral Large 4

$2.10

Muse Spark Open

$4.25

💡 Cost Ratio: Mistral Large 4 is 1.8x 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
85.8%vs81.6%+4.2% Mistral Large 4
Mistral Large 4 🏆
Muse Spark Open
HumanEvalPython coding & logic synthesis
85.0%vs76.4%+8.6% Mistral Large 4
Mistral Large 4 🏆
Muse Spark Open
MATHComplex mathematical problem solving
66.2%vs53.6%+12.6% Mistral Large 4
Mistral Large 4 🏆
Muse Spark Open
GPQAGraduate-level expert reasoning
47.6%vs39.0%+8.6% Mistral Large 4
Mistral Large 4 🏆
Muse Spark Open
HellaSwagCommonsense reasoning and inference
86.8%vs81.2%+5.6% Mistral Large 4
Mistral Large 4 🏆
Muse Spark Open
MT-BenchMulti-turn conversation flow quality
8.9%vs8.4%+0.6% Mistral Large 4
Mistral Large 4 🏆
Muse Spark Open

Mistral Large 4 Quirks & Gotchas

No developer gotchas reported.

Muse Spark Open Quirks & Gotchas

No developer gotchas reported.

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