Kimi K3 vs Mistral Large 2407
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
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407).
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 131 K tokens
- Max output
- 105 K
- Input, $ per 1M tokens
- ▲$2.00
- Output, $ per 1M tokens
- ▲$6.00
- Cache read, $ per 1M
- $0.200
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 11/19/2024
- Knowledge cutoff
- —
- API id
- mistralai/mistral-large-2407
Which is the better API choice: Kimi K3 vs Mistral Large 2407?
- Mistral Large 2407: cheapest input (33% less than Kimi K3)
- Mistral Large 2407: cheapest output
- Kimi K3: largest context (1 M)
- Kimi K3: the newest (07/16/2026)
- Kimi K3: most reasoning (estimated)
- Kimi K3: the fastest (estimated)
Mistral Large 2407 costs 33% less on input and 60% less on output than Kimi K3 ($2.00 / $6.00 versus $3.00 / $15.00 per million tokens). Kimi K3 accepts more context (1 M). On capabilities, Kimi K3 accepts images; 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 Mistral Large 2407 you save $51.00 a month versus Kimi K3 (49% 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)
- 1Mistral Large 2407 Mistral$0.152
- 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: Kimi K3 vs Mistral Large 2407?
Mistral Large 2407 costs 33% less on input and 60% less on output than Kimi K3 ($2.00 / $6.00 versus $3.00 / $15.00 per million tokens). Kimi K3 accepts more context (1 M). On capabilities, Kimi K3 accepts images; 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 Mistral Large 2407?
Mistral Large 2407 is cheaper: $2.00 per million input tokens and $6.00 per million output tokens, versus $3.00 / $15.00 for Kimi K3.
Which has more context: Kimi K3 and Mistral Large 2407?
Kimi K3 accepts 1 M tokens of context; Mistral Large 2407 accepts 131 K.
Which is newer: Kimi K3 and Mistral Large 2407?
Kimi K3 was released on 07/16/2026; Mistral Large 2407 on 11/19/2024.
What would 10,000 requests a month cost with Kimi K3 and Mistral Large 2407?
With 1,500 input and 400 output tokens per request: Kimi K3: $105.00; Mistral Large 2407: $54.00 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.