DeepSeek V4 Pro 0423 vs Kimi K3
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
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.
- 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
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- $3.00
- Output, $ per 1M tokens
- $15.00
- Cache read, $ per 1M
- $0.300
- Batch (input / output)
- $2.28 / $11.40
- Tool calling
- Yes
- Released
- ▲07/16/2026
- Knowledge cutoff
- —
- API id
- moonshotai/kimi-k3
Which is the better API choice: DeepSeek V4 Pro 0423 vs Kimi K3?
- DeepSeek V4 Pro 0423: cheapest input (68% less than Kimi K3)
- DeepSeek V4 Pro 0423: cheapest output
- Kimi K3: the newest (07/16/2026)
- DeepSeek V4 Pro 0423: most reasoning (estimated)
- Kimi K3: the fastest (estimated)
DeepSeek V4 Pro 0423 costs 68% less on input and 87% less on output than Kimi K3 ($0.955 / $1.91 versus $3.00 / $15.00 per million tokens). All accept 1 M tokens of context. On capabilities, Kimi K3 accepts images. Kimi K3 offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With DeepSeek V4 Pro 0423 you save $83.03 a month versus Kimi K3 (79% less).
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- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
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Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1DeepSeek V4 Pro 0423 DeepSeek$0.073
- 2Claude Sonnet 5.5 Anthropic$0.152
- 3Claude Sonnet 5 Anthropic$0.152
- 4Kimi K3 Moonshot$0.228
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: DeepSeek V4 Pro 0423 vs Kimi K3?
DeepSeek V4 Pro 0423 costs 68% less on input and 87% less on output than Kimi K3 ($0.955 / $1.91 versus $3.00 / $15.00 per million tokens). All accept 1 M tokens of context. On capabilities, Kimi K3 accepts images. Kimi K3 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: DeepSeek V4 Pro 0423 and Kimi K3?
DeepSeek V4 Pro 0423 is cheaper: $0.955 per million input tokens and $1.91 per million output tokens, versus $3.00 / $15.00 for Kimi K3.
Which has more context: DeepSeek V4 Pro 0423 and Kimi K3?
DeepSeek V4 Pro 0423 and Kimi K3 accept the same context: 1 M tokens.
Which is newer: DeepSeek V4 Pro 0423 and Kimi K3?
Kimi K3 was released on 07/16/2026; DeepSeek V4 Pro 0423 on 04/24/2026.
What would 10,000 requests a month cost with DeepSeek V4 Pro 0423 and Kimi K3?
With 1,500 input and 400 output tokens per request: DeepSeek V4 Pro 0423: $21.97; Kimi K3: $105.00 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.