Mistral Large 3 2512 vs Mistral Small 3.2 24B
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲262 K tokens
- Max output
- ▲210 K
- Input, $ per 1M tokens
- $0.500
- Output, $ per 1M tokens
- $1.50
- Cache read, $ per 1M
- $0.050
- Batch (input / output)
- $0.250 / $0.750
- Tool calling
- Yes
- Released
- ▲12/02/2025
- Knowledge cutoff
- 2024-11
- API id
- mistralai/mistral-large-2512
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 256 K tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.094
- Output, $ per 1M tokens
- ▲$0.250
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 06/20/2025
- Knowledge cutoff
- —
- API id
- mistralai/mistral-small-3.2-24b-instruct
Which is the better API choice: Mistral Large 3 2512 vs Mistral Small 3.2 24B?
- Mistral Small 3.2 24B: cheapest input (81% less than Mistral Large 3 2512)
- Mistral Small 3.2 24B: cheapest output
- Mistral Large 3 2512: largest context (262 K)
- Mistral Large 3 2512: the newest (12/02/2025)
- Mistral Large 3 2512: most reasoning (estimated)
- Mistral Small 3.2 24B: the fastest (estimated)
Mistral Small 3.2 24B costs 81% less on input and 83% less on output than Mistral Large 3 2512 ($0.094 / $0.250 versus $0.500 / $1.50 per million tokens). Mistral Large 3 2512 accepts more context (262 K). Mistral Large 3 2512 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 Small 3.2 24B you save $11.09 a month versus Mistral Large 3 2512 (82% less).
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- 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)
- 1Mistral Small 3.2 24B Mistral$0.007
- 2Mistral Large 3 2512 Mistral$0.038
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 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: Mistral Large 3 2512 vs Mistral Small 3.2 24B?
Mistral Small 3.2 24B costs 81% less on input and 83% less on output than Mistral Large 3 2512 ($0.094 / $0.250 versus $0.500 / $1.50 per million tokens). Mistral Large 3 2512 accepts more context (262 K). Mistral Large 3 2512 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Mistral Large 3 2512 and Mistral Small 3.2 24B?
Mistral Small 3.2 24B is cheaper: $0.094 per million input tokens and $0.250 per million output tokens, versus $0.500 / $1.50 for Mistral Large 3 2512.
Which has more context: Mistral Large 3 2512 and Mistral Small 3.2 24B?
Mistral Large 3 2512 accepts 262 K tokens of context; Mistral Small 3.2 24B accepts 256 K.
Which is newer: Mistral Large 3 2512 and Mistral Small 3.2 24B?
Mistral Large 3 2512 was released on 12/02/2025; Mistral Small 3.2 24B on 06/20/2025.
What would 10,000 requests a month cost with Mistral Large 3 2512 and Mistral Small 3.2 24B?
With 1,500 input and 400 output tokens per request: Mistral Large 3 2512: $13.50; Mistral Small 3.2 24B: $2.41 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.