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Text & reasoningStable
Mistral AIMistral Medium 3.5
Mistral's open-weight frontier model for demanding multimodal, coding, reasoning, and agent workflows, with a 256K context window.
Plain-English overview
What Mistral Medium 3.5 actually is
Mistral Medium 3.5 sits near the capability end of Mistral's general model line. It accepts text and images and supports function calling, structured outputs, agents, built-in tools, document questions, and adjustable reasoning for complex work.
It is available both as a managed API and as open weights under Mistral's Modified MIT license. That gives teams more deployment control than a closed API, while the hosted route avoids the cost and operational work of serving a frontier model themselves.
Good fit for
- Complex coding and agent workflows
- Multimodal document and image reasoning
- Organizations choosing between hosted and controlled deployment
Category comparison
The facts that matter for text models
These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.
- Context window
- 256K tokens combinedMaximum combined prompt and working context documented by the provider.
- Maximum output
- Not separately publishedProvider-published response limit, where available.
- Knowledge cutoff
- Not publishedLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff.
- Input price
- $1.50 / 1MCurrent standard list price per million input tokens unless noted.
- Output price
- $7.50 / 1MCurrent standard list price per million output tokens unless noted.
- Inputs
- Text, imageMedia types accepted by the listed model endpoint.
- Tools & agents
- Functions, agents, built-in tools, structured and predicted outputsSelected native tools and agent-building capabilities, not an exhaustive list.
Pricing & comparisons
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Advanced options
Mistral Medium 3.5
Mistral AI
Estimated total (USD)
For the usage above · USD · API pricing, not a subscription
How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
API and provider access
Where to get Mistral Medium 3.5
Availability
Regions and access stage
Available through the Mistral API and Studio, with open weights under a Modified MIT license.
Mistral offers optional EU and US regional endpoints for supported models; feature coverage and the 10% regional surcharge should be verified for the workload.
Check live availabilityData and training
The route matters.
Mistral's commercial terms exclude model training by default except when a customer opts in or uses designated Labs or preview models. Standard API input and output retention is generally 30 rolling days for abuse monitoring unless zero data retention is enabled.
This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.
Read the provider policyFrequently asked questions
Mistral Medium 3.5 FAQ
What is Mistral Medium 3.5?
Mistral's open-weight frontier model for demanding multimodal, coding, reasoning, and agent workflows, with a 256K context window. Mistral Medium 3.5 sits near the capability end of Mistral's general model line. It accepts text and images and supports function calling, structured outputs, agents, built-in tools, document questions, and adjustable reasoning for complex work.
When was Mistral Medium 3.5 released?
Mistral Medium 3.5 was released on April 28, 2026 according to the cited provider materials.
Where can I access Mistral Medium 3.5?
Available through the Mistral API and Studio, with open weights under a Modified MIT license. The access routes listed in this guide are Mistral AI and Mistral Studio.
How much does Mistral Medium 3.5 cost?
$1.50 input · $7.50 output / 1M tokens. Mistral's standard hosted list price. Dedicated EU or US regional inference is billed at 1.1× standard rates.
Where is Mistral Medium 3.5 available?
Available through the Mistral API and Studio, with open weights under a Modified MIT license. Mistral offers optional EU and US regional endpoints for supported models; feature coverage and the 10% regional surcharge should be verified for the workload.
Is my Mistral Medium 3.5 API data used for training?
Mistral's commercial terms exclude model training by default except when a customer opts in or uses designated Labs or preview models. Standard API input and output retention is generally 30 rolling days for abuse monitoring unless zero data retention is enabled. The policy belongs to the provider route and account terms, so verify it again before production use.
Price comparison
USD per million tokens for the shown API routes at standard context length. Cache and long-context rates may differ. Models without matching reviewed prices are omitted; lower cost does not mean better quality.
- Mistral Small 4$0.15
Mistral AI
- Gemini 3.8 Flash$0.75
Google
- GPT-5.6 Sol$4.00
OpenAI
- GPT-6 Astra$10.00
OpenAI
- Claude Fable 5.1$10.00
Anthropic
- Mistral Small 4$0.60
Mistral AI
- Gemini 3.8 Flash$3.75
Google
- GPT-5.6 Sol$20.00
OpenAI
- GPT-6 Astra$50.00
OpenAI
- Claude Fable 5.1$50.00
Anthropic
Related comparisons
Head-to-head comparisons
Mistral Medium 3.5 vs GPT-6 Astra
OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.
Open full comparisonMistral Medium 3.5 vs GPT-5.6 Sol
OpenAI's flagship general model for difficult coding, analysis, and professional work, with a very large context window and a broad native tool set.
Open full comparisonMistral Medium 3.5 vs Claude Fable 5.1
Anthropic's frontier model for ambitious, long-running agentic and coding work, with strong vision and enterprise marketplace availability.
Open full comparisonMistral Medium 3.5 vs Gemini 3.8 Flash
Google's stable, high-efficiency multimodal model for agents, software work, and large mixed-media inputs at an introductory Flash-tier price.
Open full comparisonMistral Medium 3.5 vs Grok 4.6
SpaceXAI's frontier text-and-image model for coding, agentic tasks, and knowledge work, with direct web, X, and code tools.
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Open full comparisonMistral Medium 3.5 vs MiniMax M3
MiniMax's million-token multimodal model for coding, agents, computer use, and long projects at a low direct API price.
Open full comparisonMistral Medium 3.5 vs GLM-5.3
Z.ai's open-weight long-context reasoning model for coding, tools, and agentic work across self-hosted and managed routes.
Open full comparisonMistral Medium 3.5 vs Kimi K3
Moonshot AI's frontier multimodal model for million-token coding, reasoning, knowledge work, and tool-driven agents.
Open full comparisonMistral Medium 3.5 vs Falcon-H1R-7B
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Open full comparisonMistral Medium 3.5 vs Falcon-H1-34B-Instruct
TII's 34B open instruction model for multilingual text, coding, and controlled self-hosted applications.
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Meta's latest multimodal reasoning model for long-running agents, coding, tools, and complex user collaboration.
Open full comparisonMistral Medium 3.5 vs Celeris-1 Magnus
Celeris' agent-focused diffusion language model for fast reasoning, tool loops, structured actions, and OpenAI-compatible integration.
Open full comparisonMistral Medium 3.5 vs NVIDIA Nemotron 3 Ultra
NVIDIA's largest Nemotron 3 reasoning model for complex agents, coding, planning, tools, RAG, and million-token analysis.
Open full comparisonMistral Medium 3.5 vs NVIDIA Nemotron 3.5 Lightning
NVIDIA's compact 30B mixture-of-experts model for efficient specialist agents and high-volume text workflows.
Open full comparisonMistral Medium 3.5 vs Qwen3.8-Flash
Alibaba's efficient million-context multimodal model for fast agents, coding, document work, vision, video understanding, and tool use.
Open full comparisonMistral Medium 3.5 vs DeepSeek-V4-Pro
DeepSeek's flagship million-context text model for difficult reasoning, coding, long-running agents, tools, and very large outputs.
Open full comparisonMistral Medium 3.5 vs DeepSeek-V4-Flash
DeepSeek's lower-cost V4 model for high-volume reasoning, coding, agents, and million-token text workloads.
Open full comparison
