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Gemini 3.1 Pro vs Muse Spark 1.1

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 3.1 Pro and Muse Spark 1.1.

Google

Gemini 3.1 Pro

Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.

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Meta

Muse Spark 1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...

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Technical Specifications

SpecificationGemini 3.1 ProMuse Spark 1.1
ProviderGoogleMeta
Context Window2,000,000 tokens1,048,576 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)420 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-202026-07-16

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

Muse Spark 1.1

$1.25

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

Muse Spark 1.1

$4.25

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9280.0%vsN/A
Gemini 3.1 Pro
Muse Spark 1.1
HumanEvalPython coding & logic synthesis
9460.0%vsN/A
Gemini 3.1 Pro
Muse Spark 1.1
MATHComplex mathematical problem solving
8800.0%vsN/A
Gemini 3.1 Pro
Muse Spark 1.1
GPQAGraduate-level expert reasoning
8130.0%vsN/A
Gemini 3.1 Pro
Muse Spark 1.1
HellaSwagCommonsense reasoning and inference
9840.0%vsN/A
Gemini 3.1 Pro
Muse Spark 1.1
MT-BenchMulti-turn conversation flow quality
950.0%vsN/A
Gemini 3.1 Pro
Muse Spark 1.1

Gemini 3.1 Pro Quirks & Gotchas

  • โ–ธBest model for massive context โ€” 2M token window is class-leading
  • โ–ธTool calling requires explicit schema definition in Google AI Studio

Muse Spark 1.1 Quirks & Gotchas

No developer gotchas reported.