Model Comparison

Gemini 2.0 Flash-Lite vs Muse Spark 1.1Which is better in 2026?

Comparing Gemini 2.0 Flash-Lite and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: Gemini 2.0 Flash-Lite vs Muse Spark 1.1 — which is better?

Gemini 2.0 Flash-Lite (by Google) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Gemini 2.0 Flash-Lite is roughly 15.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Gemini 2.0 Flash-Lite if…

  • cost matters — it's about 15.7x cheaper per token

Choose Muse Spark 1.1 if…

  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.0 Flash-Lite and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 17.9x cheaper than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 14.2x cheaper than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than Gemini 2.0 Flash-Lite.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while Gemini 2.0 Flash-Lite is limited to 8,192 tokens.

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash-Lite and Muse Spark 1.1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.0 Flash-Lite

Proprietary

Closed source

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 17 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.4 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.4yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Muse Spark 1.1's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Muse Spark 1.1

—

Provider Availability

Gemini 2.0 Flash-Lite is available from Google. Muse Spark 1.1 is available from Meta Model API.

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
Meta

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
Meta
Muse Spark 1.1

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Muse Spark 1.1.

Which is better, Gemini 2.0 Flash-Lite or Muse Spark 1.1?

Gemini 2.0 Flash-Lite (Google) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 2.0 Flash-Lite compare to Muse Spark 1.1 in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is Gemini 2.0 Flash-Lite cheaper than Muse Spark 1.1?

Gemini 2.0 Flash-Lite is 17.9x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/M output via google. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for Gemini 2.0 Flash-Lite and Muse Spark 1.1?

Gemini 2.0 Flash-Lite supports 1.0M tokens and Muse Spark 1.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash-Lite and Muse Spark 1.1?

Key differences include input pricing ($0.07 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and Muse Spark 1.1?

Gemini 2.0 Flash-Lite is developed by Google and Muse Spark 1.1 is developed by Meta.

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