Compare Models

Select models (max 7)
DeepSeek V4.1 FlashEmber-1
Benchmarks

Legal Research Bench *

DeepSeek V4.1 Flash
0.00%± 3.42
(84/84)
Ember-1
0.00%± 3.46
(84/84)

Finance Agent v2.1 *

DeepSeek V4.1 Flash
0.00%± 2.02
(30/30)
Ember-1
N/A

Tax Agent Bench *

DeepSeek V4.1 Flash
0.00%± 3.14
(75/75)
Ember-1
0.00%± 3.34
(75/75)

MedCode *

DeepSeek V4.1 Flash
0.00%± 2.04
(107/107)
Ember-1
N/A

Terminal-Bench-Science

DeepSeek V4.1 Flash
0.00%± 0.00
(42/42)
Ember-1
0.00%± 2.79
(42/42)

Code Migration v1.1 *

DeepSeek V4.1 Flash
0.00%± 2.66
(28/28)
Ember-1
N/A

Terminal-Bench 4.0

DeepSeek V4.1 Flash
0.00%± 1.75
(54/54)
Ember-1
0.00%± 3.64
(54/54)

Vibe Code Bench v1.1 *

DeepSeek V4.1 Flash
0.00%± 2.89
(118/118)
Ember-1
0.00%± 3.15
(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
62.31%
44.71%
Finance
53.27%
31.08%
Healthcare
63.34%
N/A
Math
54.00%
61.00%
Science
29.65%
31.76%
Education
47.88%
N/A
Coding
42.10%
50.30%
Cyber
37.23%
69.52%
Social Mobility
64.28%
66.17%

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
$0.30
$3.00
Input Cache Read/ 1M Tokens
$0.006
$0.30
Output Cost/ 1M Tokens
$1.20
$15.00

Model Metadata

Basic information about each model.

Model provider
DeepSeekDeepSeek
FireworksFireworks
LatencyN/AN/A
Cost (In/Out)$0.3 / $1.2$3 / $15
Context Window1M1M
Max Output Token384k131k
Input Modality