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Model comparison - Similar price, same tier

DeepSeek V4 Pro vs Kimi K2.7 Code

DeepSeek V4 Pro is from DeepSeek and Kimi K2.7 Code is from Moonshot AI. On list price, Kimi K2.7 Code charges 28% less than DeepSeek V4 Pro for input ($0.95 vs $1.32 per 1M tokens), and DeepSeek V4 Pro charges 1% less than Kimi K2.7 Code for output ($3.96 vs $4 per 1M tokens). DeepSeek V4 Pro has a 1,000,000-token context window and Kimi K2.7 Code 262,144 tokens; DeepSeek V4 Pro returns up to 393,216 output tokens per response, and no primary source states a max output for Kimi K2.7 Code. DeepSeek V4 Pro was released on April 24, 2026; no primary source states a release date for Kimi K2.7 Code. Both publish open weights.

Last verified from each provider's pricing page. All sources

DeepSeek - Open

DeepSeek V4 Pro
Input / 1M
$1.32
Output / 1M
$3.96
Context
1M

Moonshot AI - Open

Kimi K2.7 Code
Input / 1M
$0.95
Output / 1M
$4
Context
262K

Side-by-side specs

SpecDeepSeek V4 ProKimi K2.7 Code
ProviderDeepSeekMoonshot AI
Input / 1M tokens$1.32$0.95
Output / 1M tokens$3.96$4
Cache read / 1M$0.044$0.19
Batch input / 1M-$0.57
Batch output / 1M-$2.40
Context window1,000,000262,144
Max output393,216-
Release date-
WeightsOpenOpen
LicenseMITModified MIT License (Hugging Face license tag: other)
API model iddeepseek-v4-prokimi-k2.7-code
AI Gateway iddeepseek/deepseek-v4-promoonshotai/kimi-k2.7-code
Last verified

Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.

What each costs in practice

The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.

WorkloadDeepSeek V4 ProKimi K2.7 Code
One agent session1M input tokens and 100K output tokens, no caching.$1.72$1.35
A chat app10,000 requests a day at 2K input and 500 output tokens each.$46.20$1,386.00 per 30-day month$39.00$1,170.00 per 30-day month
The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included.$0.5676$0.666
Show the math

DeepSeek V4 Pro

  • One agent sessionInput: 1M x $1.32 = $1.32Output: 0.1M x $3.96 = $0.396
  • A chat appInput: 20M x $1.32 = $26.40Output: 5M x $3.96 = $19.80
  • The same session at a 90% cache hitCached input: 0.9M x $0.044 = $0.0396Uncached input: 0.1M x $1.32 = $0.132Output: 0.1M x $3.96 = $0.396

Kimi K2.7 Code

  • One agent sessionInput: 1M x $0.95 = $0.95Output: 0.1M x $4 = $0.40
  • A chat appInput: 20M x $0.95 = $19.00Output: 5M x $4 = $20.00
  • The same session at a 90% cache hitCached input: 0.9M x $0.19 = $0.171Uncached input: 0.1M x $0.95 = $0.095Output: 0.1M x $4 = $0.40

Benchmarks under the same setting

No board in the benchmark directory lists both DeepSeek V4 Pro and Kimi K2.7 Code under the same setting, so there is no like-for-like score to show here.

Set them up in your tools

Step-by-step guides whose official docs list DeepSeek V4 Pro or Kimi K2.7 Code by model id.

Model pages

DeepSeekDeepSeek V4 Pro pricing and specsFull rate card, worked cost examples and sources. Open weights.Moonshot AIKimi K2.7 Code pricing and specsFull rate card, worked cost examples and sources. Open weights.

FAQ

How do DeepSeek V4 Pro and Kimi K2.7 Code compare on price?

On list price, Kimi K2.7 Code charges 28% less than DeepSeek V4 Pro for input ($0.95 vs $1.32 per 1M tokens), and DeepSeek V4 Pro charges 1% less than Kimi K2.7 Code for output ($3.96 vs $4 per 1M tokens). For one agent session of 1M input and 100K output tokens with no caching, that is $1.72 on DeepSeek V4 Pro and $1.35 on Kimi K2.7 Code. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.

What are the context windows of DeepSeek V4 Pro and Kimi K2.7 Code?

DeepSeek V4 Pro has a 1,000,000-token context window and Kimi K2.7 Code 262,144 tokens; DeepSeek V4 Pro returns up to 393,216 output tokens per response, and no primary source states a max output for Kimi K2.7 Code.

Are DeepSeek V4 Pro and Kimi K2.7 Code open weights?

DeepSeek V4 Pro's weights are published at huggingface.co under the MIT. Kimi K2.7 Code's weights are published at huggingface.co under the Modified MIT License (Hugging Face license tag: other).

More comparisons

Sources

DeepSeek V4 Pro verified from api-docs.deepseek.com; Kimi K2.7 Code verified from platform.kimi.ai. This page is as current as the older of the two: .

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