Mistral Small 3.1 24B
by Mistralmistralai/mistral-small-3.1-24b-instruct
LLMCompare cannot run Mistral Small 3.1 24B yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowMistral Small 3.1 24B at a glance
- Context length
- 128,000 tokens
- Maximum output
- 102,400 tokens
- Accepts
- Text, Image
- Returns
- Text
- Features
- JSON outputTool callingImage input
- Reasoning effort levels
- Not supported
- Released
- 17 Mar 2025
- Knowledge cutoff
- 31 October 2023
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Mistral Small 3.1 24B pricing by route
A route is the service LLMCompare calls to reach the model. Mistral Small 3.1 24B has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.351 | $0.555 | openrouter.ai/mistralai/mistral-small-3.1-24b-instruct |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to Mistral Small 3.1 24B costs. The starting numbers are examples. Change them to match your task.
- Cost per call
- $0.00063
- 1 credits
- Cost of 100 calls
- $0.0629
- 100 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 102,400 | Provider default |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
About Mistral Small 3.1 24B
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Mistral Small 3.1 24B
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
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Mistral Small 4Mistralmistralai/mistral-small-2603 | 262k | 210k | $0.15 | $0.60 | ReasoningJSONToolsCacheVision | No route yet | ||
Codestral 2508Mistralmistralai/codestral-2508 | 256k | 205k | $0.30 | $0.90 | JSONToolsCache | No route yet | ||
Qwen3 Coder NextQwenqwen/qwen3-coder-next | 262k | 236k | $0.12 | $0.80 | JSONToolsCache | No route yet | ||
DeepSeek V4 Flash Vision ExpDeepSeekdeepseek/deepseek-v4-flash-vision-exp | 1.05M | 262k | $0.2156 | $0.6468 | ReasoningJSONToolsCacheVision | No route yet | ||
Llama 4 MaverickMetameta-llama/llama-4-maverick | 524k | 16.4k | $0.1875 | $0.6525 | JSONToolsCacheVision | No route yet |
Questions about Mistral Small 3.1 24B
- How much does Mistral Small 3.1 24B cost?
- On the OpenRouter route, Mistral Small 3.1 24B costs $0.351 per 1 million input tokens and $0.555 per 1 million output tokens, in US dollars. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Mistral Small 3.1 24B?
- Mistral Small 3.1 24B has a context length of 128,000 tokens and returns up to 102,400 output tokens in one call.
- What inputs does Mistral Small 3.1 24B accept?
- Mistral Small 3.1 24B accepts these inputs: Text, Image. Mistral Small 3.1 24B returns: Text.
- Can I test Mistral Small 3.1 24B on my own data?
- Not yet. LLMCompare lists the prices and parameters of Mistral Small 3.1 24B, but no route to Mistral Small 3.1 24B is configured on LLMCompare, so it cannot be selected for an evaluation.