Compare Models

Select models (max 7)
DeepSeek V4Mercury 2.5
Benchmarks

Legal Research Bench *

DeepSeek V4
0.00%± 2.93
(84/84)
Mercury 2.5
0.00%± 1.41
(84/84)

Tax Agent Bench *

DeepSeek V4
0.00%± 3.06
(75/75)
Mercury 2.5
0.00%± 1.02
(75/75)

MedCode *

DeepSeek V4
0.00%± 2.12
(107/107)
Mercury 2.5
0.00%± 1.95
(107/107)

Terminal-Bench-Science

DeepSeek V4
N/A
Mercury 2.5
0.00%± 0.00
(42/42)

Terminal-Bench 4.0

DeepSeek V4
0.00%± 1.34
(54/54)
Mercury 2.5
0.00%± 0.00
(54/54)

Vibe Code Bench v1.1 *

DeepSeek V4
0.00%± 4.77
(118/118)
Mercury 2.5
0.00%± 1.41
(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
51.70%
43.69%
Finance
48.62%
2.49%
Healthcare
57.80%
43.21%
Math
16.00%
3.00%
Science
N/A
0.00%
Academic
88.32%
N/A
Coding
46.20%
6.05%
Cyber
N/A
45.48%
Social Mobility
62.92%
45.26%

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
$1.32
$0.20
Input Cache Read/ 1M Tokens
$0.044
$0.02
Output Cost/ 1M Tokens
$3.96
$0.75

Model Metadata

Basic information about each model.

Model provider
DeepSeekDeepSeek
InceptionInception
LatencyN/AN/A
Cost (In/Out)$1.32 / $3.96$0.2 / $0.75
Context Window1M260k
Max Output Token384k66k
Input Modality