DeepSeek V4 Pro 0423 vs DeepSeek V4 Pro 0813

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on September 30, 2026· 217 models

DeepSeekPro 0423

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.

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Reasoning estimated
Speed estimated
Input
Output
Context
1 M tokens
Max output
384 K
Input, $ per 1M tokens
$0.955
Output, $ per 1M tokens
▲$1.91
Cache read, $ per 1M
$0.080
Batch (input / output)
—
Tool calling
Yes
Released
04/24/2026
Knowledge cutoff
2025-05
API id
deepseek/deepseek-v4-pro
DeepSeekPro 0813

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek.

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Reasoning estimated
Speed estimated
Input
Output
Context
1 M tokens
Max output
▲393 K
Input, $ per 1M tokens
▲$0.660
Output, $ per 1M tokens
$1.98
Cache read, $ per 1M
$0.022
Batch (input / output)
—
Tool calling
Yes
Released
▲08/12/2026
Knowledge cutoff
—
API id
deepseek/deepseek-v4-pro-0813
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: DeepSeek V4 Pro 0423 vs DeepSeek V4 Pro 0813?

  • DeepSeek V4 Pro 0813: cheapest input (31% less than DeepSeek V4 Pro 0423)
  • DeepSeek V4 Pro 0423: cheapest output
  • DeepSeek V4 Pro 0813: the newest (08/12/2026)

Pricing is split: DeepSeek V4 Pro 0813 wins on input and DeepSeek V4 Pro 0423 wins on output. All accept 1 M tokens of context.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

DeepSeek V4 Pro 0423
$21.97/mo
DeepSeek V4 Pro 0813
$17.82/mo

With DeepSeek V4 Pro 0813 you save $4.15 a month versus DeepSeek V4 Pro 0423 (19% less).

The 6 cheapest for this scenario (chat, last 12 months)

  1. 1Lyria 3 Pro Preview Google$0.00
  2. 2Lyria 3 Clip Preview Google$0.00
  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4 Flash 0731 DeepSeek$1.55
  5. 5Ministral 3 3B 2512 Mistral$1.90
  6. 6Qwen3.5-Flash Qwen$2.02

Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1DeepSeek V4 Pro 0813 DeepSeek$0.050
  2. 2DeepSeek V4 Pro 0423 DeepSeek$0.073
  3. 3Claude Sonnet 5.5 Anthropic$0.152
  4. 4Claude Sonnet 5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.1 Anthropic$0.760
  8. 8Claude Fable 5 Anthropic$0.760

Popular comparisons

Frequently asked questions

Which is the better API choice: DeepSeek V4 Pro 0423 vs DeepSeek V4 Pro 0813?

Pricing is split: DeepSeek V4 Pro 0813 wins on input and DeepSeek V4 Pro 0423 wins on output. All accept 1 M tokens of context.

Which is cheaper: DeepSeek V4 Pro 0423 and DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0813 is cheaper: $0.660 per million input tokens and $1.98 per million output tokens, versus $0.955 / $1.91 for DeepSeek V4 Pro 0423.

Which has more context: DeepSeek V4 Pro 0423 and DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0423 and DeepSeek V4 Pro 0813 accept the same context: 1 M tokens.

Which is newer: DeepSeek V4 Pro 0423 and DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0813 was released on 08/12/2026; DeepSeek V4 Pro 0423 on 04/24/2026.

What would 10,000 requests a month cost with DeepSeek V4 Pro 0423 and DeepSeek V4 Pro 0813?

With 1,500 input and 400 output tokens per request: DeepSeek V4 Pro 0423: $21.97; DeepSeek V4 Pro 0813: $17.82 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.