Mistral Medium 3.5 (batch)
Open weightVisionToolsMistral · Released April 2026
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.
It belongs to Mistral's catalog, which spans Medium and Large (capability), Small and Ministral (efficiency) and dedicated code and audio models, all with European data-residency roots.
Facts and pricing
- Provider
- Mistral
- Context window
- 262K tokens
- Input price
- 9.0 credits / 1M tokens ($0.75 raw)
- Output price
- 45.0 credits / 1M tokens ($3.75 raw)
- Vision (image input)
- Yes
- Tool calling
- Yes
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin. Raw prices shown per 1M tokens.
Try Mistral Medium 3.5 now
Mistral Medium 3.5 (batch) is a serving variant of Mistral Medium 3.5, so Zeplik offers the Mistral Medium 3.5 row and routes your prompt there.
What Mistral Medium 3.5 (batch) is best for
- Everyday chat and drafting on an open-weight model with transparent lineage
- Long documents: the 262K-token window holds lengthy reports, contracts or papers whole
- Working with images: screenshots, charts, photos and scanned documents alongside text
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Example prompts
Prompts that suit a open weight model like Mistral Medium 3.5 (batch):
- Draft a project update from these rough notes
- Explain how HTTPS works to a curious teenager
- Turn this list of features into a changelog entry
- Brainstorm objections to this proposal and how to answer them
Mistral family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Mistral Large 4 | 1.0M | 8.4 | 25.2 | October 2026 |
| Mistral Medium 3.5 | 262K | 18.0 | 90.0 | April 2026 |
| Mistral Medium 3.5 (batch) | 262K | 9.0 | 45.0 | April 2026 |
| Mistral Small 4 | 262K | 1.8 | 7.2 | March 2026 |
| Devstral 2 2512 | 262K | 4.8 | 24.0 | December 2025 |
| Ministral 3 14B 2512 | 262K | 2.4 | 2.4 | December 2025 |
| Ministral 3 8B 2512 | 262K | 1.8 | 1.8 | December 2025 |
| Ministral 3 3B 2512 | 131K | 1.2 | 1.2 | December 2025 |
| Mistral Large 3 2512 | 262K | 6.0 | 18.0 | December 2025 |
| Voxtral Small 24B 2507 | 33K | 1.2 | 3.6 | October 2025 |
Model comparisons
- Llama 4 Maverick vs Mistral Medium 3.5
- GPT-5.6 Luna vs Mistral Small 4
- Gemini 3.5 Flash vs Mistral Small 4
- Kimi K2.7 Code vs Codestral 2508
Frequently asked questions
- What is Mistral Medium 3.5 (batch)?
- Mistral Medium 3.5 (batch) is an AI model by Mistral. Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.
- How much does Mistral Medium 3.5 (batch) cost on Zeplik?
- Input tokens cost 9.0 credits per million and output tokens 45.0 credits per million (1 credit = $0.10; the raw provider rates are $0.75 and $3.75 per million). New accounts start with free credits.
- How long can a conversation with Mistral Medium 3.5 (batch) be?
- Mistral Medium 3.5 (batch) has a 262K-token context window (262,144 tokens), which covers the conversation plus any documents you attach.
- Does Mistral Medium 3.5 (batch) support images and tools?
- Mistral Medium 3.5 (batch) accepts image input and supports tool calling.
Related models
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system.
Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window.
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart.
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
More you can do with Mistral Medium 3.5 (batch)
- 468 AI skillsReady-to-run expert methods for writing, data, code and more, each running on Mistral Medium 3.5 (batch) or any model you pick.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.