Mistral AI model product
Mistral Small 3 is a 24B-parameter LLM licensed under Apache-2.0. It focuses on low-latency, high-efficiency instruction following, maintaining performance comparable to larger models. It provides quick, accurate responses for conversational agents, function calling, and domain-specific fine-tuning. Suitable for local inference when quantized, it rivals models 2–3× its size while using significantly fewer compute resources.
Updated Aug 10, 2026. Default version: Mistral Small 3 24B Instruct
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version Mistral Small 3 24B Instruct.
| Arena Hard | 0.9 | 5 | 26 | 84.0% | C | |
| Wild Bench | 0.5 | 6 | 8 | 28.6% | C | |
| MT-Bench | 0.8 | 8 | 12 | 36.4% | C | |
| MATH | 0.7 | 37 | 71 | 48.6% | C | |
| HumanEval | 0.8 | 41 | 76 | 46.7% | C | |
| IFEval | 0.8 | 47 | 65 | 28.1% | C | |
| MMLU-Pro | 0.7 | 99 | 129 | 23.4% | C | |
| GPQA | 0.5 | 191 | 233 | 18.1% | C |
Preference and agent-evaluation signals from published Arena datasets.
| text | korean | 203 | 1188.7 | 231 | N/A | |
| text style control | korean | 203 | 1239.2 | 231 | N/A | |
| text | japanese | 217 | 1111.9 | 269 | N/A | |
| text style control | japanese | 220 | 1150.5 | 269 | N/A | |
| text | french | 225 | 1202.8 | 142 | N/A | |
| text | german | 227 | 1211.8 | 301 | N/A | |
| text style control | german | 227 | 1256.5 | 301 | N/A | |
| text style control | french | 230 | 1253.0 | 142 | N/A | |
| text | industry mathematical | 254 | 1243.0 | 1,447 | N/A | |
| text | expert | 257 | 1201.1 | 754 | N/A | |
| text | industry medicine and healthcare | 257 | 1214.9 | 654 | N/A | |
| text | math | 257 | 1240.2 | 1,683 | N/A | |
| text style control | industry mathematical | 258 | 1270.1 | 1,447 | N/A | |
| text | longer query | 259 | 1246.1 | 1,767 | N/A | |
| text style control | industry medicine and healthcare | 260 | 1285.7 | 654 | N/A | |
| text style control | math | 261 | 1261.5 | 1,683 | N/A | |
| text | coding | 264 | 1246.2 | 2,083 | N/A | |
| text | hard prompts | 265 | 1233.3 | 3,569 | N/A | |
| text | hard prompts english | 265 | 1244.3 | 2,355 | N/A | |
| text | industry software and it services | 265 | 1249.1 | 3,478 | N/A | |
| text | instruction following | 266 | 1214.4 | 5,485 | N/A | |
| text style control | expert | 266 | 1257.5 | 754 | N/A | |
| text | russian | 267 | 1215.3 | 1,418 | N/A | |
| text style control | coding | 267 | 1312.4 | 2,083 | N/A | |
| text | overall | 268 | 1233.7 | 14,681 | N/A | |
| text | exclude ties | 268 | 1129.5 | 9,628 | N/A | |
| text | industry life and physical and social science | 268 | 1235.1 | 2,579 | N/A | |
| text style control | hard prompts | 268 | 1284.7 | 3,569 | N/A | |
| text | english | 269 | 1256.1 | 8,740 | N/A | |
| text style control | hard prompts english | 269 | 1295.0 | 2,355 | N/A | |
| text style control | russian | 269 | 1260.7 | 1,418 | N/A | |
| text style control | industry software and it services | 270 | 1305.9 | 3,478 | N/A | |
| text | chinese | 271 | 1203.6 | 1,054 | N/A | |
| text style control | english | 271 | 1294.2 | 8,740 | N/A | |
| text style control | longer query | 273 | 1279.3 | 1,767 | N/A | |
| text | industry business and management and financial operations | 274 | 1205.2 | 1,443 | N/A | |
| text | multi turn | 275 | 1216.6 | 2,151 | N/A | |
| text style control | industry life and physical and social science | 275 | 1293.8 | 2,579 | N/A | |
| text | industry legal and government | 276 | 1219.0 | 869 | N/A | |
| text style control | chinese | 276 | 1265.5 | 1,054 | N/A | |
| text style control | overall | 277 | 1274.2 | 14,681 | N/A | |
| text style control | exclude ties | 277 | 1187.7 | 9,628 | N/A | |
| text style control | industry business and management and financial operations | 277 | 1259.3 | 1,443 | N/A | |
| text style control | instruction following | 277 | 1255.3 | 5,485 | N/A | |
| text | non english | 278 | 1198.3 | 5,941 | N/A | |
| text | industry entertainment and sports and media | 279 | 1184.4 | 2,680 | N/A | |
| text style control | multi turn | 279 | 1249.5 | 2,151 | N/A | |
| text | creative writing | 280 | 1195.1 | 2,415 | N/A | |
| text | industry writing and literature and language | 280 | 1213.9 | 3,942 | N/A | |
| text style control | industry legal and government | 280 | 1275.2 | 869 | N/A | |
| text style control | creative writing | 281 | 1226.8 | 2,415 | N/A | |
| text style control | industry entertainment and sports and media | 281 | 1225.1 | 2,680 | N/A | |
| text style control | industry writing and literature and language | 282 | 1247.6 | 3,942 | N/A | |
| text style control | non english | 284 | 1242.4 | 5,941 | N/A |
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
The default version has no provider offering with current input or output token prices.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Mistral Small 3 24B Base | N/A | 23.6B | N/A | N/A | No | Apache 2.0 | |
| Mistral Small 3 24B Instruct | 34.3 | 24B | 32K | 32K | No | Apache 2.0 |
A concise description based on the published model registry.
Mistral Small 3 is a 24B-parameter LLM licensed under Apache-2.0. It focuses on low-latency, high-efficiency instruction following, maintaining performance comparable to larger models. It provides quick, accurate responses for conversational agents, function calling, and domain-specific fine-tuning. Suitable for local inference when quantized, it rivals models 2–3× its size while using significantly fewer compute resources.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Mistral Small 3 24B.
Mistral Small 3 24B's default version was released on Jan 30, 2025.
No official standard PAYG price is currently available for Mistral Small 3 24B.
Mistral Small 3 24B is published under Mistral AI in the model registry.
The default version has a 32K token context window.
No. The default version is not marked as having publicly available weights.
No published provider offering is currently linked to the default version.
Nearby ranked alternatives include Qwen3 VL 32B, DeepSeek-V3.1, Command R+.