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DeepSeek

DeepSeek V4 Pro

deepseek-v4-pro-0813

53Index
MITGenerally available1M context1.6TText

Pick this when

Near-frontier reasoning you can download under MIT. Best open permissive option.

Skip when

You need multimodal input or the last few intelligence points.

The first open-weight model that looks like it belongs on the frontier table. Slower than the closed leaders. The license is the point.

Price

Input / 1M
$1.32
Output / 1M
$3.96
Measured task
$0.25

First-party API. Other hosts and self-host will bill differently. MIT weights.

Shape

Context
1M
Max output
64K
Released
2026-08-13
Tools
Yes
Reasoning
Yes

Scores

Intelligence index53
GPQA Diamond87
Terminal-Bench 2.179
Agentic index50
Arena
—
Speed
78/s
GPQA
86.8%
Term.
78.7%
  • AA Index. The single number most people mean by “how smart.” It is a blend, so a specialist can lose here and still win the job you care about.
  • GPQA. A clean test of hard reasoning. PhD experts sit around 65%. It says little about writing, tools, or taste.
  • Term.. Closest public proxy for coding agents that live in a terminal. A high index score with a weak terminal score is a warning.
  • Arena. Captures taste and usefulness that unit tests miss. Sample size varies by model, so treat gaps under ~100 Elo as noise.

DeepSeek · Hangzhou. Open weights under MIT. V4 Pro is the first downloadable model that actually sits in the frontier cluster. Flash is the volume lane.

Compiled 2026-08-28 from public Artificial Analysis, LMSYS-style arena, and first-party price sheets. Scores move. Recheck before you spend.

A two-point gap on the intelligence index is noise for most work. Cost per finished task is the number that shows up on the invoice.