The best open LLMs for your use case:

1Kimi 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

EQBench

Creative Writing

1561
#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
#2

Terminal-Bench 2.0

Coding Agents

66.7
#3

EQBench

Creative Writing

1561
#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
#2

Terminal-Bench 2.0

Coding Agents

66.7
Try it out
2Qwen3.5 397B-A17BQwen

Qwen's native multimodal MoE model with 397B total parameters and 17B active, featuring hybrid Gated Delta Networks for strong reasoning and vision capabilities.

Speed:

Intelligence:

Price: (1M Tokens)

$0.60 / 3.60

Context: (tokens)

262,144

Inputs:

ImageText

Benchmarks:

#1

MMLU-Pro

General Knowledge

87.8
#1

AA-LCR

Summarization

68.7
#1

LongBenchv2

Summarization

63.2
#1

Multilingual MMLU

Multilingual

88.5
#1

MMMU

Multimodal - Vision

85
#1

TAU2-Bench

Agents and Function Calling

86.7
#1

BFCL

Agents and Function Calling

72.9
#2

MMMU-Pro

Multimodal - Vision

79
#1

MMLU-Pro

General Knowledge

87.8
#1

AA-LCR

Summarization

68.7
#1

LongBenchv2

Summarization

63.2
#1

Multilingual MMLU

Multilingual

88.5
#1

MMMU

Multimodal - Vision

85
#1

TAU2-Bench

Agents and Function Calling

86.7
#1

BFCL

Agents and Function Calling

72.9
#2

MMMU-Pro

Multimodal - Vision

79
Try it out

Use case:

Creative Writing

Features:

Long Context Handling