Compare Models

Select models (max 7)
Gemini 3.7 FlashMuse Spark 1.3
Benchmarks

Legal Research Bench *

Gemini 3.7 Flash
0.00%± 3.31
(84/84)
Muse Spark 1.3
0.00%± 3.42
(84/84)

Tax Agent Bench *

Gemini 3.7 Flash
0.00%± 3.03
(75/75)
Muse Spark 1.3
0.00%± 3.42
(75/75)

MedCode *

Gemini 3.7 Flash
0.00%± 2.12
(107/107)
Muse Spark 1.3
N/A

Terminal-Bench-Science

Gemini 3.7 Flash
0.00%± 3.10
(42/42)
Muse Spark 1.3
0.00%± 2.44
(42/42)

Terminal-Bench 4.0

Gemini 3.7 Flash
0.00%± 3.03
(54/54)
Muse Spark 1.3
0.00%± 1.75
(54/54)

Vibe Code Bench v1.1 *

Gemini 3.7 Flash
0.00%± 4.84
(118/118)
Muse Spark 1.3
0.00%± 2.90
(118/118)

Overall performance

Performance on the Vals Index, a GDP-weighted aggregation of tasks across finance, coding, and law

2026-10-22

Comparison by Industry

Model performance on different sections of the economy.

Legal
60.94%
40.87%
Finance
54.73%
35.97%
Healthcare
68.67%
N/A
Math
58.00%
55.00%
Science
7.14%
4.29%
Academic
91.01%
N/A
Education
49.23%
N/A
Coding
55.10%
34.48%
Cyber
24.16%
69.41%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
N/A
Cost / TestVals Index
N/A
N/A
Input Cost/ 1M Tokens
$1.50
$1.25
Input Cache Read/ 1M Tokens
$0.15
$0.15
Output Cost/ 1M Tokens
$7.50
$4.25

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
MetaMeta
LatencyN/AN/A
Cost (In/Out)$1.5 / $7.5$1.25 / $4.25
Context Window1M1M
Max Output Token66k131k
Input Modality