Kimi K3 vs Voxtral Small 24B 2507
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
Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 33 K tokens
- Max output
- 26 K
- Input, $ per 1M tokens
- ▲$0.100
- Output, $ per 1M tokens
- ▲$0.300
- Cache read, $ per 1M
- $0.010
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 07/15/2025
- Knowledge cutoff
- 2025-07
- API id
- mistralai/voxtral-small-24b-2507
Which is the better API choice: Kimi K3 vs Voxtral Small 24B 2507?
- Voxtral Small 24B 2507: cheapest input (97% less than Kimi K3)
- Voxtral Small 24B 2507: cheapest output
- Kimi K3: largest context (1 M)
- Kimi K3: the newest (07/16/2026)
- Kimi K3: most reasoning (estimated)
- Voxtral Small 24B 2507: the fastest (estimated)
Voxtral Small 24B 2507 costs 97% less on input and 98% less on output than Kimi K3 ($0.100 / $0.300 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; only Voxtral Small 24B 2507 accepts audio. 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 Voxtral Small 24B 2507 you save $102.30 a month versus Kimi K3 (97% 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)
- 1Voxtral Small 24B 2507 Mistral$0.008
- 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 Voxtral Small 24B 2507?
Voxtral Small 24B 2507 costs 97% less on input and 98% less on output than Kimi K3 ($0.100 / $0.300 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; only Voxtral Small 24B 2507 accepts audio. Kimi K3 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Kimi K3 and Voxtral Small 24B 2507?
Voxtral Small 24B 2507 is cheaper: $0.100 per million input tokens and $0.300 per million output tokens, versus $3.00 / $15.00 for Kimi K3.
Which has more context: Kimi K3 and Voxtral Small 24B 2507?
Kimi K3 accepts 1 M tokens of context; Voxtral Small 24B 2507 accepts 33 K.
Which is newer: Kimi K3 and Voxtral Small 24B 2507?
Kimi K3 was released on 07/16/2026; Voxtral Small 24B 2507 on 07/15/2025.
What would 10,000 requests a month cost with Kimi K3 and Voxtral Small 24B 2507?
With 1,500 input and 400 output tokens per request: Kimi K3: $105.00; Voxtral Small 24B 2507: $2.70 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.