Compare Models

Select models (max 5)
DeepSeek V4.1 Flash 1017Muse Spark Open
Benchmarks

Vals Index *

DeepSeek V4.1 Flash 1017
0.00%± 1.27
(50/50)
Muse Spark Open
0.00%± 1.20
(50/50)

Legal Research Bench *

DeepSeek V4.1 Flash 1017
0.00%± 3.46
(80/80)
Muse Spark Open
0.00%± 3.38
(80/80)

Finance Agent (v2) *

DeepSeek V4.1 Flash 1017
0.00%± 2.05
(80/80)
Muse Spark Open
0.00%± 2.09
(80/80)

Tax Agent Bench *

DeepSeek V4.1 Flash 1017
0.00%± 3.57
(71/71)
Muse Spark Open
0.00%± 2.65
(71/71)

Code Migration *

DeepSeek V4.1 Flash 1017
0.00%± 4.46
(79/79)
Muse Spark Open
0.00%± 3.47
(79/79)

Terminal-Bench 4.0

DeepSeek V4.1 Flash 1017
0.00%± 2.62
(50/50)
Muse Spark Open
0.00%± 0.51
(50/50)

Vibe Code Bench v1.1 *

DeepSeek V4.1 Flash 1017
0.00%± 2.75
(114/114)
Muse Spark Open
0.00%± 3.32
(114/114)

Overall performance

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

2026-10-18

Comparison by Industry

Model performance on different sections of the economy.

Legal
27.18%
27.56%
Finance
54.37%
47.11%
Coding
54.59%
34.64%

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
$0.637
$4.077
Cost / TestVals Index
$0.637
$4.077
Input Cost/ 1M Tokens
$0.30
$1.25
Input Cache Read/ 1M Tokens
$0.006
$0.15
Output Cost/ 1M Tokens
$1.20
$4.25

Model Metadata

Basic information about each model.

Model provider
DeepSeekDeepSeek
MetaTogether
Latency2193.12s4059.60s
Cost (In/Out)$0.3 / $1.2$1.25 / $4.25
Context Window1M1M
Max Output Token384k131k
Input Modality