Kimi K3 vs Ministral 3 14B 2512
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
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
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 262 K tokens
- Max output
- 210 K
- Input, $ per 1M tokens
- ▲$0.200
- Output, $ per 1M tokens
- ▲$0.200
- Cache read, $ per 1M
- $0.020
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 12/03/2025
- Knowledge cutoff
- —
- API id
- mistralai/ministral-14b-2512
Which is the better API choice: Kimi K3 vs Ministral 3 14B 2512?
- Ministral 3 14B 2512: cheapest input (93% less than Kimi K3)
- Ministral 3 14B 2512: cheapest output
- Kimi K3: largest context (1 M)
- Kimi K3: the newest (07/16/2026)
- Kimi K3: most reasoning (estimated)
- Ministral 3 14B 2512: the fastest (estimated)
Ministral 3 14B 2512 costs 93% less on input and 99% less on output than Kimi K3 ($0.200 / $0.200 versus $3.00 / $15.00 per million tokens). Kimi K3 accepts more context (1 M). On capabilities, Kimi K3 has a reasoning mode. 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 Ministral 3 14B 2512 you save $101.20 a month versus Kimi K3 (96% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 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.
Cost of sending it 1,000 times (input only)
- 1Ministral 3 14B 2512 Mistral$0.015
- 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
Popular comparisons
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs Gemini 3.8 Flash
- Claude Sonnet 5.5 vs DeepSeek V4.1 Flash
- Claude Sonnet 5.5 vs Grok 4.7
- GPT-6.1 Sol vs Gemini 3.8 Flash
- GPT-6.1 Sol vs DeepSeek V4.1 Flash
- GPT-6.1 Sol vs Grok 4.7
- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- Gemini 3.8 Flash vs Grok 4.7
- DeepSeek V4.1 Flash vs Grok 4.7
Frequently asked questions
Which is the better API choice: Kimi K3 vs Ministral 3 14B 2512?
Ministral 3 14B 2512 costs 93% less on input and 99% less on output than Kimi K3 ($0.200 / $0.200 versus $3.00 / $15.00 per million tokens). Kimi K3 accepts more context (1 M). On capabilities, Kimi K3 has a reasoning mode. Kimi K3 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Kimi K3 and Ministral 3 14B 2512?
Ministral 3 14B 2512 is cheaper: $0.200 per million input tokens and $0.200 per million output tokens, versus $3.00 / $15.00 for Kimi K3.
Which has more context: Kimi K3 and Ministral 3 14B 2512?
Kimi K3 accepts 1 M tokens of context; Ministral 3 14B 2512 accepts 262 K.
Which is newer: Kimi K3 and Ministral 3 14B 2512?
Kimi K3 was released on 07/16/2026; Ministral 3 14B 2512 on 12/03/2025.
What would 10,000 requests a month cost with Kimi K3 and Ministral 3 14B 2512?
With 1,500 input and 400 output tokens per request: Kimi K3: $105.00; Ministral 3 14B 2512: $3.80 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.