Compare Models

Select models (max 7)
Gemini 3.5 FlashMuse Spark 1.2
Benchmarks

Legal Research Bench *

Gemini 3.5 Flash
0.00%± 3.21
(84/84)
Muse Spark 1.2
0.00%± 3.45
(84/84)

Tax Agent Bench *

Gemini 3.5 Flash
0.00%± 2.96
(75/75)
Muse Spark 1.2
0.00%± 2.75
(75/75)

MedCode *

Gemini 3.5 Flash
0.00%± 2.11
(107/107)
Muse Spark 1.2
0.00%± 2.19
(107/107)

Terminal-Bench-Science

Gemini 3.5 Flash
0.00%± 2.79
(42/42)
Muse Spark 1.2
N/A

Terminal-Bench 4.0

Gemini 3.5 Flash
0.00%± 1.51
(54/54)
Muse Spark 1.2
0.00%± 1.51
(54/54)

Vibe Code Bench v1.1 *

Gemini 3.5 Flash
0.00%± 4.73
(118/118)
Muse Spark 1.2
0.00%± 3.31
(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
57.19%
64.51%
Finance
54.71%
59.53%
Healthcare
66.20%
69.70%
Math
31.00%
43.00%
Science
5.71%
64.81%
Academic
90.15%
87.20%
Education
49.88%
47.66%
Coding
45.65%
41.18%
Cyber
N/A
34.76%
Social Mobility
59.47%
68.47%

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
$9.00
$4.25

Model Metadata

Basic information about each model.

Model provider
GoogleGoogle
MetaMeta
LatencyN/AN/A
Cost (In/Out)$1.5 / $9$1.25 / $4.25
Context Window1M1M
Max Output Token66k131k
Input Modality