Mistral Small 3.2 24B
Mistral AIhuggingface.co/mistralai/Mistral-Small-3.2-24B-I
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. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Updated 29 min ago · first seen 11 Sept 2026
model_01M294WWF8JZQ1TF6BXPZB8WRF
- Parameters
- 24B
- T2 · 32 min ago
- Context
- 256K tokens
- T2 · 33 min ago
- Released
- 20 Jun 2025
- T2 · 33 min ago
- Knowledge cutoff
- Oct 2023
- T2 · 33 min ago
Specification
- Release date
- 20 Jun 2025
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
- Parameters
- 24B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
- Context window
- 256K tokens
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Max output
- 16.4K tokens
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Knowledge cutoff
- Oct 2023
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Input modalities
- image, text
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Tokenizer
- Mistral
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Hugging Face repo
- mistralai/Mistral-Small-3.2-24B-Instruct-2506
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
- Downloads
- 130,714
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 29 min agomedium
- Likes
- 611
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 29 min agomedium
- Last modified
- 2025-12-22T10:16:55+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
- Openrouter id
- mistralai/mistral-small-3.2-24b-instruct
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Supported parameters
- frequency_penalty, logit_bias, logprobs, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
21
Source tiers
T221
Freshest observation
29 min ago
Conflicts
None
Modalities
- Modalities
- imagetext
- Input
- imagetext
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
Yes
OpenRouter public model & pricing listing · T2
Reasoning
Unavailable
Vision
Yes
OpenRouter public model & pricing listing · T2
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
- 256K tokens
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Max output
- 16.4K tokens
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Knowledge cutoff
- Oct 2023
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
- Tokenizer
- Mistral
Source:OpenRouter public model & pricing listingT2observed 33 min agomedium
No benchmark results recorded
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| Mistral AI La Plateformemistralai/mistral-small-3.2-24b-instruct | $0.075 | $0.20 | — | — | 128K | 33 min ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- Mistral AI La Plateforme
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| Apple M3 Ultra | 4bit | — | 14.3 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 14.3 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 14.3 GB | Yes |
| Apple M2 Ultra | 4bit | — | 14.3 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 14.3 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 14.3 GB | Yes |
| Apple M1 Ultra | 4bit | — | 14.3 GB | Yes |
| Apple M3 Max | 4bit | — | 14.3 GB | Yes |
| Apple M4 Max | 4bit | — | 14.3 GB | Yes |
| NVIDIA DGX Spark | 4bit | 128 GB | 14.3 GB | Yes |
| Apple M2 Max | 4bit | — | 14.3 GB | Yes |
| NVIDIA A100 80GB | 4bit | 80 GB | 14.3 GB | Yes |
| NVIDIA H100 SXM | 4bit | 80 GB | 14.3 GB | Yes |
| Apple M1 Max | 4bit | — | 14.3 GB | Yes |
| Apple M4 Pro | 4bit | — | 14.3 GB | Yes |
| Apple M3 Pro | 4bit | — | 14.3 GB | Yes |
| Apple M1 Pro | 4bit | — | 14.3 GB | Yes |
| Apple M2 Pro | 4bit | — | 14.3 GB | Yes |
| Apple M4 | 4bit | — | 14.3 GB | Yes |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 14.3 GB | Yes |
| Apple M2 | 4bit | — | 14.3 GB | Yes |
| Apple M3 | 4bit | — | 14.3 GB | Yes |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 14.3 GB | Yes |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 14.3 GB | Yes |
| Apple M1 | 4bit | — | 14.3 GB | No |
Ancestors 0
None recorded.
This model
Mistral Small 3.2 24B
24B params
Quantizations 1
Descendants 0
None recorded.
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Description
Descriptiondescription1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 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. Compared to the 3.1 release, version 3.2 significantly improves accuracy on... | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
New model: Mistral Small 3.2 24B (Mistral AI)
openrouterMistral AI La Plateforme lists Mistral Small 3.2 24B at $0.075 in / $0.2 out per 1M tokens
openrouter
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/Intel/Mistral-Small-3.2-24B-Instruct-2506-int4-AutoRound | model_page | T2· Quality secondary | 2 min ago | 2 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=mistralai&p=0&sort=downloads | listing | T2· Quality secondary | 29 min ago | 2 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 33 min ago | 1 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.