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

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
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2Qwen3.5 9BQwen

Compact 9B dense model from Qwen punching above its weight class on knowledge and coding benchmarks at a fraction of the cost.

Speed:

Intelligence:

Price: (1M Tokens)

$0.17 / 0.25

Context: (tokens)

262,144

Inputs:

ImageText

Benchmarks:

#7

GPQA-Diamond

General Knowledge

81.7
#4

MMLU-Pro

General Knowledge

82.5
#2

AA-LCR

Summarization

63
#2

LongBenchv2

Summarization

55.2
#2

MMMU

Multimodal - Vision

78.4
#2

BFCL

Agents and Function Calling

66.1
#2

TAU2-Bench

Agents and Function Calling

79.1
#3

Multilingual MMLU

Multilingual

81.2
#7

GPQA-Diamond

General Knowledge

81.7
#4

MMLU-Pro

General Knowledge

82.5
#2

AA-LCR

Summarization

63
#2

LongBenchv2

Summarization

55.2
#2

MMMU

Multimodal - Vision

78.4
#2

BFCL

Agents and Function Calling

66.1
#2

TAU2-Bench

Agents and Function Calling

79.1
#3

Multilingual MMLU

Multilingual

81.2
Try it out

Use case:

General Knowledge

Features:

Low Latency