The best 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)

$2.10 / 4.40

Inputs:

ImageText

JSON Mode:

Function Calling:

Benchmarks:

#1

LongBenchv2

Summarization

70
#1

LiveCodeBench

Code

93.5
#1

WebDevArena

Code

1459
#1

SimpleQA

General Knowledge

57.9
#2

GPQA-Diamond

General Knowledge

90.1
#2

MMLU-Pro

General Knowledge

87.5
#1

LongBenchv2

Summarization

70
#1

LiveCodeBench

Code

93.5
#1

WebDevArena

Code

1459
#1

SimpleQA

General Knowledge

57.9
#2

GPQA-Diamond

General Knowledge

90.1
#2

MMLU-Pro

General Knowledge

87.5
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

Inputs:

ImageText

JSON Mode:

Function Calling:

Benchmarks:

#2

LongBenchv2

Summarization

63.2
#1

MMLU-Pro

General Knowledge

87.8
#1

Multilingual MMLU

Multilingual

88.5
#1

MMMU

Multimodal - Vision

85
#2

EQBench

Creative Writing

1275
#2

BFCL

Agents and Function Calling

72.9
#2

SimpleQA

General Knowledge

54.3
#3

GPQA-Diamond

General Knowledge

88.4
#3

LMArena

Chat

1447
#4

WebDevArena

Code

1189
#5

LiveCodeBench

Code

83.6
#2

LongBenchv2

Summarization

63.2
#1

MMLU-Pro

General Knowledge

87.8
#1

Multilingual MMLU

Multilingual

88.5
#1

MMMU

Multimodal - Vision

85
#2

EQBench

Creative Writing

1275
#2

BFCL

Agents and Function Calling

72.9
#2

SimpleQA

General Knowledge

54.3
#3

GPQA-Diamond

General Knowledge

88.4
#3

LMArena

Chat

1447
#4

WebDevArena

Code

1189
#5

LiveCodeBench

Code

83.6
Try it out

Use case:

Summarization

Features:

Long Context Handling