Skip to main content

Gemini 3 Pro vs Muse Spark 1.1

Data verified

Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

Verdict

Gemini 3 Pro leads for most workloads.

Based on BenchLM composite scores, July 2026.

Gemini 3 Pro

80

VS

Muse Spark 1.1

78

0 categoriesvs1 categories

Pick Gemini 3 Pro if you want the stronger benchmark profile. Muse Spark 1.1 only becomes the better choice if multimodal & grounded is the priority or you want the stronger reasoning-first profile.

Category Radar

Head-to-Head by Category

Category Breakdown

BenchmarkGemini 3 ProΔMuse Spark 1.1
Multimodal81.1 7.388.4
Agentic80.4
Coding61.5
Reasoning31.1
Knowledge62.1

Operational Comparison

Gemini 3 Pro

Muse Spark 1.1

Price (per 1M tokens)

$2 / $12

N/A

Speed

109 t/s

N/A

Latency (first answer)

32.65s

N/A

Context Window

2M

1M

Quick Verdict

Pick Gemini 3 Pro if you want the stronger benchmark profile. Muse Spark 1.1 only becomes the better choice if multimodal & grounded is the priority or you want the stronger reasoning-first profile.

Gemini 3 Pro has the cleaner provisional overall profile here, landing at 80 versus 78. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Muse Spark 1.1 is the reasoning model in the pair, while Gemini 3 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3 Pro gives you the larger context window at 2M, compared with 1M for Muse Spark 1.1.

Benchmark Deep Dive

Frequently Asked Questions (2)

Which is better, Gemini 3 Pro or Muse Spark 1.1?

Gemini 3 Pro is ahead on BenchLM's provisional leaderboard, 80 to 78. The biggest single separator in this matchup is CharXiv, where the scores are 81.4% and 88.4%.

Which is better for multimodal and grounded tasks, Gemini 3 Pro or Muse Spark 1.1?

Muse Spark 1.1 has the edge for multimodal and grounded tasks in this comparison, averaging 88.4 versus 81.1. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: July 9, 2026

The AI models change fast. We track them for you.

For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.