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DeepSeek V3/Deepseek Chat

deepseek-chat
BackTry Model
Provider logo

DeepSeek V3/Deepseek Chat

deepseek-chat
BackTry Model

DeepSeek original V3 model, trained on nearly 15 trillion tokens, matches leading closed-source models at a far lower price. Quantized at FP8.

Added Feb 27, 2025

Model weights

Context Window

128.0K

Max Output

8.2K

Avg output tokens (7d)

498 tokens

19%

Input Price (Auto)

$0.10/1M

Output Price (Auto)

$0.42/1M

Cache Read (Auto)

$0.050/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

25.1

Better than 63% of models compared

Coding Index

21.2

Better than 28% of models compared

Agentic Index

1.6

Better than 8% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

75.1%

Better than 59% of models compared

HLE

Humanity's Last Exam

11.2%

Better than 61% of models compared

IFBench

Instruction-following benchmark

49.0%

Better than 58% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

78.9%

Better than 69% of models compared

AA-LCR

Long context reasoning evaluation

42.7%

Better than 48% of models compared

Coding

SciCode

Python programming for scientific computing

38.7%

Better than 65% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

32.6%

Better than 76% of models compared

LiveCodeBench

Contamination-free coding benchmark

59.3%

Better than 66% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

59.0%

Better than 56% of models compared

AIME

American Invitational Mathematics Examination

52.0%

Better than 72% of models compared

Math-500

Diverse mathematical problem solving benchmark

94.2%

Better than 76% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

83.7%

Better than 86% of models compared

Last updated Aug 16, 2026

Artificial Analysis

Providers

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