The best open LLMs for your use case:

1DeepSeek-V4-ProDeepSeek

DeepSeek's frontier 1.6T-parameter Mixture-of-Experts model (49B active per token) with hybrid attention built for long-context, low-cost reasoning. Runs in FP4 with a 512K-token context window.

Speed:

Intelligence:

Price: (1M Tokens)

$1.74 / 3.48

Cached input: (1M Tokens)

$0.20

Context: (tokens)

512,000

Inputs:

ImageText

Benchmarks:

#4

GPQA-Diamond

General Knowledge

90.1
#2

MMLU-Pro

General Knowledge

87.5
#2

HLE

General Knowledge

37.7
#1

SimpleQA

General Knowledge

57.9
#1

LiveCodeBench

Coding Agents

93.5
#1

SWE-Bench Verified

Coding Agents

80.6
#1

Terminal-Bench 2.0

Coding Agents

67.9
#1

GDPval-AA

Agents and Function Calling

1554
#4

GPQA-Diamond

General Knowledge

90.1
#2

MMLU-Pro

General Knowledge

87.5
#2

HLE

General Knowledge

37.7
#1

SimpleQA

General Knowledge

57.9
#1

LiveCodeBench

Coding Agents

93.5
#1

SWE-Bench Verified

Coding Agents

80.6
#1

Terminal-Bench 2.0

Coding Agents

67.9
#1

GDPval-AA

Agents and Function Calling

1554
2Kimi K2.6Moonshot

1T-parameter MoE flagship from Moonshot with long-horizon coding, agent swarms scaling to 300 sub-agents, and state-of-the-art reasoning.

Speed:

Intelligence:

Price: (1M Tokens)

$1.20 / 4.50

Cached input: (1M Tokens)

$0.20

Context: (tokens)

262,144

Inputs:

ImageText

Benchmarks:

#3

GPQA-Diamond

General Knowledge

90.5
#3

HLE

General Knowledge

34.7
#1

SciCode

Coding Agents

52.2
#1

MCP-Mark

Agents and Function Calling

55.9
#1

MMMU-Pro

Multimodal - Vision

79.4
#1

Apex Agents

Agents and Function Calling

27.9
#1

FrontierCode

Coding Agents

3.8
#2

LiveCodeBench

Coding Agents

89.6
#3

GPQA-Diamond

General Knowledge

90.5
#3

HLE

General Knowledge

34.7
#1

SciCode

Coding Agents

52.2
#1

MCP-Mark

Agents and Function Calling

55.9
#1

MMMU-Pro

Multimodal - Vision

79.4
#1

Apex Agents

Agents and Function Calling

27.9
#1

FrontierCode

Coding Agents

3.8
#2

LiveCodeBench

Coding Agents

89.6

Use case:

General Knowledge

Features:

Long Context Handling