
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 WildBench and Arena Hard, reduces infinite generations, and delivers gains in tool use and structured output tasks.
It supports image and text inputs with structured outputs, function/tool calling, and strong performance across coding (HumanEval+, MBPP), STEM (MMLU, MATH, GPQA), and vision benchmarks (ChartQA, DocVQA).
Modalities
In / Out Price
$0.075 / $0.20per 1M
Context
256K
Released
Jun 20, 2025
Knowledge Cutoff
Oct 2023
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
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 WildBench and Arena Hard, reduces infinite generations, and delivers gains in tool use and structured output tasks.
Mistral Small 3.2 24B costs $0.075/M input tokens and $0.20/M output tokens.
Mistral Small 3.2 24B has a 256,000 token context window. It supports up to 16,384 completion tokens.
Yes. Mistral Small 3.2 24B accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Mistral Small 3.2 24B accepts images and text as input and returns text.
Mistral Small 3.2 24B is served by 3 providers on OpenRouter: DeepInfra, Parasail and Venice. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
Mistral Small 3.2 24B was released on June 20, 2025. Its knowledge cutoff is October 31, 2023.
| $0.075 | $0.20 | -- | 0.39s | 33 tps | ||
| $0.09 | $0.30 | $0.05 | 0.61s | 23 tps | ||
| $0.09375 | $0.25 | -- | 0.59s | 29 tps |
Throughput
33tok/s
P50, best across providers
Latency
0.39s
P50, best provider
100.00%
99.78%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.