Kimi K3.1 Pro vs R1 0528
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $10.00
- Cache read, $ per 1M
- $0.200
- Batch (input / output)
- $0.700 / $6.00
- Tool calling
- Yes
- Released
- ▲10/23/2026
- Knowledge cutoff
- —
- API id
- moonshotai/kimi-k3.1-pro
May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 164 K tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- ▲$0.500
- Output, $ per 1M tokens
- ▲$2.15
- Cache read, $ per 1M
- $0.350
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 05/28/2025
- Knowledge cutoff
- —
- API id
- deepseek/deepseek-r1-0528
Which is the better API choice: Kimi K3.1 Pro vs R1 0528?
- R1 0528: cheapest input (75% less than Kimi K3.1 Pro)
- R1 0528: cheapest output
- Kimi K3.1 Pro: largest context (1 M)
- Kimi K3.1 Pro: the newest (10/23/2026)
R1 0528 costs 75% less on input and 79% less on output than Kimi K3.1 Pro ($0.500 / $2.15 versus $2.00 / $10.00 per million tokens). Kimi K3.1 Pro accepts more context (1 M). On capabilities, Kimi K3.1 Pro accepts images. Kimi K3.1 Pro 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 R1 0528 you save $53.90 a month versus Kimi K3.1 Pro (77% less).
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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)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2R1 0528 DeepSeek$0.038
- 3Kimi K3.1 Pro Moonshot$0.152
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: Kimi K3.1 Pro vs R1 0528?
R1 0528 costs 75% less on input and 79% less on output than Kimi K3.1 Pro ($0.500 / $2.15 versus $2.00 / $10.00 per million tokens). Kimi K3.1 Pro accepts more context (1 M). On capabilities, Kimi K3.1 Pro accepts images. Kimi K3.1 Pro offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Kimi K3.1 Pro and R1 0528?
R1 0528 is cheaper: $0.500 per million input tokens and $2.15 per million output tokens, versus $2.00 / $10.00 for Kimi K3.1 Pro.
Which has more context: Kimi K3.1 Pro and R1 0528?
Kimi K3.1 Pro accepts 1 M tokens of context; R1 0528 accepts 164 K.
Which is newer: Kimi K3.1 Pro and R1 0528?
Kimi K3.1 Pro was released on 10/23/2026; R1 0528 on 05/28/2025.
What would 10,000 requests a month cost with Kimi K3.1 Pro and R1 0528?
With 1,500 input and 400 output tokens per request: Kimi K3.1 Pro: $70.00; R1 0528: $16.10 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.