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Favicon for mistralai

Mistral: Mistral Medium 3.5

mistralai/mistral-medium-3-5

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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

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

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.

Performance

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

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.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

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.

Activity

Token volume and request traffic to this model over time.

Quick Start

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.

About Mistral: Mistral Medium 3.5

OpenRouter makes Mistral: Mistral Medium 3.5 by Mistral AI available through a unified, OpenAI-compatible API using the model ID mistralai/mistral-medium-3-5. It is served by Mistral.

Mistral: Mistral Medium 3.5 accepts text, images and files such as PDFs and returns text. It has a 262,144-token context window.

On OpenRouter, Mistral: Mistral Medium 3.5 costs $1.50/M input tokens and $7.50/M output tokens. It was released on April 30, 2026.

More models from Mistral AI

  • Voxtral Small 24B 2507 STT
  • Voxtral Mini 3B 2507
  • Voxtral Mini Transcribe

Frequently asked questions

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$7.500.96s55 tps
99.96%

Throughput

55tok/s

P50, best across providers

Latency

0.96s

P50, best provider

Uptime (3d)

100.00%

Availability (3d)

99.80%

Availability over the last 3 days

Last 72 hours
Availability 99.80%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
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.

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