Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi-step reasoning. It is particularly strong at reliable multi-tool calling and long-horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self-hostable on as few as four GPUs and available under open weights.
Modalities
In / Out Price
$1.50 / $7.50per 1M
Context
262K
Released
Apr 30, 2026
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
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 Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi-step reasoning.
Mistral Medium 3.5 costs $1.50/M input tokens and $7.50/M output tokens.
Mistral Medium 3.5 has a 262,144 token context window.
Yes. Mistral Medium 3.5 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Mistral Medium 3.5 accepts text, images and files such as PDFs as input and returns text.
Mistral Small 4, Ministral 3 14B 2512, Ministral 3 8B 2512 and 14 more are other text models from Mistral AI.
Mistral Medium 3.5 was released on April 30, 2026.
| $1.50 | $7.50 | 0.69s | 49 tps |
Throughput
49tok/s
P50, best across providers
Latency
0.69s
P50, best provider
100.00%
99.84%
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.
