Compare Models

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Kimi K2.6GPT 5.4 Mini
Benchmarks

Vals Index *

Kimi K2.6
N/A
GPT 5.4 Mini
0.00%± 1.28
(43/43)

Legal Research Bench *

Kimi K2.6
0.00%± 2.54
(73/73)
GPT 5.4 Mini
0.00%± 2.30
(73/73)

Finance Agent (v2) *

Kimi K2.6
0.00%± 0.73
(74/74)
GPT 5.4 Mini
0.00%± 0.45
(74/74)

Tax Agent Bench *

Kimi K2.6
0.00%± 3.23
(65/65)
GPT 5.4 Mini
0.00%± 3.10
(65/65)

MedCode *

Kimi K2.6
0.00%± 2.04
(104/104)
GPT 5.4 Mini
N/A

Code Migration *

Kimi K2.6
0.00%± 4.14
(73/73)
GPT 5.4 Mini
0.00%± 3.64
(73/73)

Terminal-Bench 4.0

Kimi K2.6
N/A
GPT 5.4 Mini
0.00%± 1.01
(43/43)

Vibe Code Bench v1.1 *

Kimi K2.6
0.00%± 4.91
(108/108)
GPT 5.4 Mini
0.00%± 5.61
(108/108)

Overall performance

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

2026-10-02

Comparison by Industry

Model performance on different sections of the economy.

Legal
34.09%
6.25%
Finance
57.67%
52.42%
Healthcare
59.15%
N/A
Academic
87.67%
82.29%
Education
50.22%
50.81%
Coding
45.73%
36.32%
Social Mobility
56.63%
N/A

Cost Analysis

Per task and per token model pricing.

Vals Index · USD
N/A
$1.452
Cost / TestVals Index
N/A
$1.452
Input Cost/ 1M Tokens
$0.95
$0.75
Input Cache Read/ 1M Tokens
$0.16
$0.075
Output Cost/ 1M Tokens
$4.00
$4.50

Model Metadata

Basic information about each model.

Model provider
Moonshot AIKimi
OpenAIOpenAI
LatencyN/A1788.54s
Cost (In/Out)$0.95 / $4$0.75 / $4.5
Context Window262k400k
Max Output Token256k128k
Input Modality