Kimi K3.1 Pro vs R1 Distill Llama 70B
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
DeepSeek R1 Distill Llama 70B is a distilled large language model based on Llama-3.3-70B-Instruct, using outputs from DeepSeek R1.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 8 K tokens
- Max output
- 7 K
- Input, $ per 1M tokens
- ▲$0.800
- Output, $ per 1M tokens
- ▲$0.800
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 01/01/2025
- Knowledge cutoff
- —
- API id
- deepseek/deepseek-r1-distill-llama-70b
Which is the better API choice: Kimi K3.1 Pro vs R1 Distill Llama 70B?
- R1 Distill Llama 70B: cheapest input (60% less than Kimi K3.1 Pro)
- R1 Distill Llama 70B: cheapest output
- Kimi K3.1 Pro: largest context (1 M)
- Kimi K3.1 Pro: the newest (10/23/2026)
R1 Distill Llama 70B costs 60% less on input and 92% less on output than Kimi K3.1 Pro ($0.800 / $0.800 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 Distill Llama 70B you save $54.80 a month versus Kimi K3.1 Pro (78% 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 Distill Llama 70B DeepSeek$0.061
- 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 Distill Llama 70B?
R1 Distill Llama 70B costs 60% less on input and 92% less on output than Kimi K3.1 Pro ($0.800 / $0.800 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 Distill Llama 70B?
R1 Distill Llama 70B is cheaper: $0.800 per million input tokens and $0.800 per million output tokens, versus $2.00 / $10.00 for Kimi K3.1 Pro.
Which has more context: Kimi K3.1 Pro and R1 Distill Llama 70B?
Kimi K3.1 Pro accepts 1 M tokens of context; R1 Distill Llama 70B accepts 8 K.
Which is newer: Kimi K3.1 Pro and R1 Distill Llama 70B?
Kimi K3.1 Pro was released on 10/23/2026; R1 Distill Llama 70B on 01/01/2025.
What would 10,000 requests a month cost with Kimi K3.1 Pro and R1 Distill Llama 70B?
With 1,500 input and 400 output tokens per request: Kimi K3.1 Pro: $70.00; R1 Distill Llama 70B: $15.20 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.