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Gemini 3.5 Flash-Lite vs Muse Spark 1.1

Detailed technical comparison between Gemini 3.5 Flash-Lite (Google) 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.

⚡ Executive Summary & Verdict

Comparison Snapshot

Gemini 3.5 Flash-Lite: 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

Gemini 3.5 Flash-Lite

$0.30 / MTok
Googleactive

Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

View Gemini 3.5 Flash-Lite Full Specs →
Metaactive

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...

View Muse Spark 1.1 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.5 Flash-LiteMuse Spark 1.1
ProviderGoogleMeta
Context Window1,048,576 tokens1,048,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetabeta
API AvailableYesYes
Released Date2026-07-212026-07-16

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash-Lite

$0.30

Muse Spark 1.1

$1.25

Output Price per Million Tokens

Gemini 3.5 Flash-Lite

$2.50

Muse Spark 1.1

$4.25

💡 Cost Ratio: Gemini 3.5 Flash-Lite is 4.2x 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.

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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
73.2%vs81.2%+8.0% Muse Spark 1.1
Gemini 3.5 Flash-Lite
Muse Spark 1.1 🏆
HumanEvalPython coding & logic synthesis
69.4%vs79.4%+10.0% Muse Spark 1.1
Gemini 3.5 Flash-Lite
Muse Spark 1.1 🏆
MATHComplex mathematical problem solving
42.6%vs56.6%+14.0% Muse Spark 1.1
Gemini 3.5 Flash-Lite
Muse Spark 1.1 🏆
GPQAGraduate-level expert reasoning
30.0%vs38.6%+8.6% Muse Spark 1.1
Gemini 3.5 Flash-Lite
Muse Spark 1.1 🏆
HellaSwagCommonsense reasoning and inference
77.2%vs80.8%+3.6% Muse Spark 1.1
Gemini 3.5 Flash-Lite
Muse Spark 1.1 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs8.3%+0.4% Muse Spark 1.1
Gemini 3.5 Flash-Lite
Muse Spark 1.1 🏆

Gemini 3.5 Flash-Lite Quirks & Gotchas

No developer gotchas reported.

Muse Spark 1.1 Quirks & Gotchas

No developer gotchas reported.

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