DeepSeek

DeepSeek V4 Pro

Type
language model
Context
1,049K tokens
Max output
384K
Released
24 April 2026
API string
deepseek/deepseek-v4-pro
Weights
open

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
routing-run $0.348 $0.696 31 Jul 2026
crof $0.35 $0.8 31 Jul 2026
ebcloud $0.429 $0.857 31 Jul 2026
opencode-go $0.435 $0.87 31 Jul 2026
vivgrid $0.435 $0.87 31 Jul 2026
auriko $0.435 $0.87 31 Jul 2026
alibaba-cn $0.435 $0.87 31 Jul 2026
modelis $0.435 $0.87 2 Aug 2026
DeepSeek $0.435 $0.87 31 Jul 2026
Hugging Face $0.435 $0.87 31 Jul 2026
Kilo Code $0.435 $0.87 31 Jul 2026
LLM Gateway $0.435 $0.87 31 Jul 2026
Merge Gateway $0.435 $0.87 31 Jul 2026
NVIDIA $0.435 $0.87 31 Jul 2026
OpenRouter $0.435 $0.87 31 Jul 2026
Pioneer $0.435 $0.87 31 Jul 2026
Tencent (Hunyuan) $0.435 $0.87 31 Jul 2026
Vercel $0.435 $0.87 31 Jul 2026
ZenMux $0.435 $0.87 31 Jul 2026
ofox $0.45 $0.88 31 Jul 2026
CrossModel $0.47 $0.94 31 Jul 2026
OrcaRouter $0.56 $1.12 31 Jul 2026
unorouter $0.9 $1.8 31 Jul 2026
aiand $1 $2.5 31 Jul 2026
NanoGPT deepseek/deepseek-v4-pro $1.1 $2.2 31 Jul 2026
DeepInfra $1.3 $2.6 31 Jul 2026
GMI Cloud $1.392 $2.784 31 Jul 2026
NanoGPT TEE/deepseek-v4-pro $1.5 $5.25 31 Jul 2026
Cortecs $1.553 $3.106 31 Jul 2026
novita-ai $1.6 $3.2 31 Jul 2026
EmpirioLabs AI $1.65 $3.3 31 Jul 2026
Venice AI $1.65 $3.301 31 Jul 2026
frogbot $1.74 $3.48 31 Jul 2026
cline-pass $1.74 $3.48 31 Jul 2026
siliconflow-cn $1.74 $3.48 31 Jul 2026
hpc-ai $1.74 $3.48 31 Jul 2026
Abacus.AI $1.74 $3.48 31 Jul 2026
Baseten $1.74 $3.48 31 Jul 2026
DigitalOcean Gradient AI $1.74 $3.48 31 Jul 2026
FastRouter $1.74 $3.48 31 Jul 2026
Fireworks AI $1.74 $3.48 31 Jul 2026
Microsoft Foundry $1.74 $3.48 31 Jul 2026
OpenCode Zen $1.74 $3.84 31 Jul 2026
SiliconFlow $1.74 $3.48 31 Jul 2026
Together AI $1.74 $3.48 31 Jul 2026
Weights & Biases $1.74 $3.48 31 Jul 2026
tensorx $1.75 $3.5 2 Aug 2026
Nebius Token Factory $1.75 $3.5 31 Jul 2026
hyper $2.4 $4.8 31 Jul 2026

Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.

A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.

The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.

Measurement results

Task set Result Run conditions Measured by
Arena Score, programming 1,470.43 1,464–1,477
Arena Score, multi-turn dialogue 1,465.44 1,458–1,473
Arena Score in French 1,465.07 1,449–1,481
Arena Score, expert questions 1,464.63 1,455–1,474
Arena Score, hard prompts 1,460.9 1,456–1,466
Arena Score, long queries 1,458.25 1,452–1,464
Arena Score in English 1,457.95 1,452–1,463
Arena Score in Spanish 1,450.48 1,433–1,468
Arena Score, overall 1,450.08 1,446–1,454
Arena Score in Russian 1,449.49 1,440–1,459
Arena Score, web development 1,446 1,439–1,453
Arena Score, instruction following 1,445.46 1,439–1,452
Arena Score, creative writing 1,443.14 1,435–1,451
Arena Score, mathematics 1,442.56 1,430–1,455
Mock AIME 2024–2025 — olympiad problems 96.66 % effort: max · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 86.2 % effort: max · with a tuned harness Epoch evaluations
SWE-bench Verified — fixing bugs in repositories 77.64 % effort: max · with a tuned harness Epoch evaluations
SimpleQA Verified — factual accuracy 57 % effort: max Epoch evaluations
SimpleBench — trick questions 53.44 % https://lmcouncil.ai/benchmarks self-reported
WeirdML — unusual machine learning tasks 48.9 % effort: max https://htihle.github.io/weirdml.html
FrontierMath, levels 1–3 45.26 % effort: max Epoch evaluations
FrontierCode — patches fit to be merged into a project 17.6 % effort: none https://cognition.com/frontiercode
Chess puzzles 15.83 % effort: max Epoch evaluations
CritPt — physics problems 12.86 % effort: max
FrontierMath, level 4 — research-grade problems 2.44 % effort: max Epoch evaluations
Arena Score, agent tasks -0.01 0–0