DeepSeekEfficientLIVE INDEX

DeepSeek V3.1

Name: DeepSeek V3.1
Brand: DeepSeek
Price: 0.550000 USD

text->text

Open-weights frontier model that matched GPT-4-class quality at a fraction of the inference cost. Sparked the late-2024 cost reset.

DeepSeek V3.1 is a efficient AI model from DeepSeek. It costs $0.550 per million input tokens and $1.650 per million output tokens (blended $0.880/M), with a 163,840-token context window.

Profile inherited from upstream DeepSeek-V3 ↗ — this is a hosted variant of the same open-weights model.

Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →

INPUT

$0.550/M

per million input tokens

OUTPUT

$1.650/M

per million output tokens

BLENDED 70/30

$0.880/M

unchanged since 3 May

default reference rate · how it is calculated →

CONTEXT

163,840

tokens

What it is good at

Frontier quality, open weights
Aggressive pricing
Strong code & math
MoE architecture

Typical use cases

Self-hosted frontier inference
Cost-sensitive chat
Code generation

Benchmarks

vs. best public score

Scores inherited from DeepSeek-V3 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.

MMLU88%

Multitask academic knowledge across 57 subjects.

GPQA Diamond59%

Graduate-level science questions, "Google-proof".

MATH90%

High-school competition math problems.

HumanEval89%

Python function synthesis from docstrings.

SWE-bench Verified42%

Real GitHub issues solved end-to-end.

LMArena Elo1318 Elo

Crowd-sourced head-to-head preference Elo rating.

Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.