Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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DeepSeek
DeepSeekFrontier

DeepSeek-V3

Frontier

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 is a frontier AI model from DeepSeek. It costs $0.270 per million input tokens and $1.100 per million output tokens (blended $0.519/M), with a 64K-token context window.

Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$0.270/M
per million input tokens
OUTPUT
$1.100/M
per million output tokens
BLENDED 70/30
$0.519/M
default reference rate · how it's calculated →
CONTEXT
64K
64,000 tokens
What it's 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
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.
More from DeepSeek
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Frontier · 1M ctx
in $1.740/Mout $3.480/M
DeepSeek-V4-Flash
Efficient · 1M ctx
in $0.140/Mout $0.280/M
DeepSeek-V3-0324
Frontier · 128K ctx
in $0.270/Mout $1.100/M
DeepSeek-R1
Reasoning · 64K ctx
in $0.550/Mout $2.190/M
DeepSeek-R1-0528
Reasoning · 64K ctx
in $0.550/Mout $2.190/M
DeepSeek-R1-Distill-70B
Distilled · 128K ctx
in $0.350/Mout $0.880/M
Frequently asked questions

How much does DeepSeek-V3 cost?

DeepSeek-V3 costs $0.270 per million input tokens and $1.100 per million output tokens, for a blended reference rate of $0.519 per million tokens.

What is DeepSeek-V3's context window?

DeepSeek-V3 supports up to 64K tokens of context (64,000 tokens).

What is DeepSeek-V3 best for?

DeepSeek-V3 is well suited to Frontier quality, open weights, Aggressive pricing and Strong code & math.

Who makes DeepSeek-V3?

DeepSeek-V3 is developed and served by DeepSeek.