DeepSeek V4 Pro

-75%
deepseek/deepseek-v4-pro

hybrid-attention long-context reasoning.

cmd --model deepseek/deepseek-v4-pro
Intelligence index
44.3
Output speed
70.9 tok/s
Input
$0.43 /M
Output
$0.87 /M
Cache read
$0.00 /M
Agent-loop cost
$0.13 /M in
Context window
1M tokens
Released
April 24, 2026
Modalities

deal spotlight

75% off, applied at billing rather than at checkout. Every price and calculator on this page already quotes the discounted rate.

−75%
permanent
Full terms →
Input $/M
$0.435
was $1.74
Output $/M
$0.87
was $3.48
Cache read $/M
$0.003625
was $0.0145
No code, no toggle. Pick DeepSeek V4 Pro from /model in the CLI and the discounted rate applies automatically.

vs. the lineup

DeepSeek V4 Pro beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.

pin a rival:
ModelIntelligenceCodingSpeedInput $/MOutput $/MBlended $/MContext
Qwen 3.7 Max4666202.2$2.50$7.50$3.751M
MiniMax M344.458.690.3$0.30$1.20$0.521M
DeepSeek V4 Pro44.359.470.9$0.43$0.87$0.541M
GPT-5.3 Codex44.3124.1$2$8$3.50400K
DeepSeek V4 Flash40.356.2122$0.14$0.28$0.181M
Step 3.7 Flash30.339.6399.5$0.20$1.15$0.44256K
Kimi K3pinned57.176.234.5$3$15$61M
Kimi K2.7 Codepinned41.960.844.4$0.95$4$1.71256K

coding performance

The Intelligence Index and its sub-scores, ranked against every scored model in the catalog. A metric that has not been measured for DeepSeek V4 Pro has been left empty.

Coding Index
59.4
#20 of 34 scored
Terminal-Bench
64
#22 of 34 scored
Intelligence Index
44.3
#18 of 40 scored
Long-context reasoning
66.3
reasoning across a long context
SciCode
50
scientific coding
GPQA Diamond
88.8
graduate-level QA

usage calculator

How far a month of credits goes on DeepSeek V4 Pro.

Input tokensfresh prompt
800
Output tokensmodel reply
180
Cache read tokensre-read context
50K
cost / request $0.0007 · in $0.43 · out $0.87 · cache $0.00 per M
fresh input 51%output 23%cache reads 26%
Requests / 30 days
15K
$10 credits ÷ $0.0007 per request
~2.9K quick fixes~583 bug fixes~97 feature PRs

what real work costs

Real coding tasks priced end to end on DeepSeek V4 Pro, from a quick lookup to a full-repo agent run.

One agent task
$0.03
180K in at 75% cache hit, 12K out
What you pay
$0.16 /M
all-in across every token that task touched
Sticker input
$0.43 /M
cache reads bill at $0.00 /M instead
TaskTokens in · outDeepSeek V4 ProMiniMax M3Claude Haiku 4.5
Quick lookup / one-liner8K · 1K$0.0012$0.0019$0.0065
Review a 500-line PR60K · 4K$0.01$0.01$0.04
Fix a bug (agent loop)180K · 12K$0.03$0.04$0.12
Refactor a module320K · 20K$0.06$0.06$0.21
Full-repo agent run900K · 45K$0.13$0.16$0.49

frequently asked

What is DeepSeek V4 Pro best for?+
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks. Built on the same architecture as DeepSeek V4 Flash, it introduces a hybrid attention system for efficient long-context processing. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is well suited for complex workloads such as full-codebase analysis, multi-step automation, and large-scale information synthesis, where both capability and efficiency are critical.
How much does DeepSeek V4 Pro cost?+
$0.43/M input and $0.87/M output, cache reads $0.00/M. In an agent loop most input is cache-read, so the effective input rate is about $0.13/M.
Which plan do I need?+
Available on Go and above.
How do I switch to it?+
Run cmd --model deepseek/deepseek-v4-pro, or type /model in a session and pick it. You can switch mid-session without losing context.

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