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Mistral: Mistral Medium 3.5

by Mistral AI

8.1
Quality score / 10

Overview

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...

Our take

The headache this model sets out to remove is stitching together separate tools for reasoning, coding and image understanding. Mistral Medium 3.5 is a dense 128B instruction-following model that takes text and images and returns text, built for agentic workflows, coding and complex tasks, with a 262,144-token context window, chain-of-thought reasoning, tool and function calling and structured JSON output. That suits a job like reviewing a long technical document alongside a diagram and returning a structured plan an automated pipeline can act on directly. Against its alternatives, general assistants such as Claude, ChatGPT, Gemini and Claude Sonnet 5 are broad conversational systems, whereas this is a single dense model you can slot into agentic and coding pipelines with predictable JSON output. The clear caveat is cost: pricing is above average at $1.50 per million tokens, with input flagged at $1.5 per million and no free tier, which makes it one of the pricier options in this group. Ideal for teams who want a capable, tool-fluent model for agentic and coding work and can justify the higher rate. The verdict: a reasonable pick when its long context and structured output earn their keep, and one to pass over if budget is the deciding factor and a cheaper model would do.

How Mistral: Mistral Medium 3.5 stacks up

Among the 376 chatbots & llms tools in our directory, it ranks #141 of 371 on quality (8.1/10), 1% above the 371-tool average of 8.0, and its $1.5/1M input-token rate is in the premium end — 22% cheaper than the 360-model average of $1.93/1M.

Weighing quality against cost, Mistral: Mistral Medium 3.5's cost-per-quality-point of $0.19 places it at #267 of 351 for value among chatbots & llms tools.

Mistral: Mistral Medium 3.5 in depth

Mistral: Mistral Medium 3.5, built by Mistral AI, sits in the chatbots & llms space and is a paid tool starting at $1.50/1M tokens. Our editors rate it 8.1 out of 10 based on capability, ecosystem and value. It handles a context window of 262,144 tokens.

On the feature side, Mistral: Mistral Medium 3.5 brings 262,144-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is built-in reasoning (chain-of-thought) mode for harder problems, while the main trade-off to weigh is that above-average api pricing ($1.5 per 1m input tokens). Keep both in mind when deciding whether it fits your workflow.

Mistral: Mistral Medium 3.5 is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
—
Context window
262,144 tokens
Free tier
No
Updated
2026-09-29

Key features

  • ✓262,144-token context window
  • ✓Vision (image input)
  • ✓Reasoning / chain-of-thought
  • ✓Tool / function calling
  • ✓Structured (JSON) outputs

Pricing

$1.50/1M tokens
Pay per token
Paid$1.50/1M tokens
API input
$1.5 / 1M tokens
API output
$7.5 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Accepts images as input (vision-capable)
  • +Supports tool / function calling for agent-style workflows
  • +Can return structured JSON output for reliable parsing

Cons

  • −Above-average API pricing ($1.5 per 1M input tokens)

Who should use Mistral: Mistral Medium 3.5

  • →Anyone looking for a chatbots & llms tool from Mistral AI.
  • →Teams and individuals focused on research and writing.
  • →People who value built-in reasoning (chain-of-thought) mode for harder problems.
  • →Workflows that need a 262,144 tokens context window.

Who should look elsewhere

  • →Anyone who needs a free tier — this tool is paid only.
  • →Those for whom above-average api pricing ($1.5 per 1m input tokens) is a dealbreaker.

Best for

10 Best Mistral: Mistral Medium 3.5 Alternatives in 2026

Mistral: Mistral Medium 3.5 is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to Mistral: Mistral Medium 3.5, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4
Anthropic: Claude Sonnet 5.5Paid$2.00/1M tokens

Anthropic

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Anthropic: Claude Sonnet 5.5 review →
5
Fireworks: Ember-1Paid$3.00/1M tokens

Fireworks

Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Fireworks: Ember-1 review →
6
Qwen: Qwen3.8 Max PrimePaid$4.00/1M tokens

Qwen

Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 Max Prime review →
7
Space Bunny AlphaFree tierFree

Stealth

Space Bunny Alpha is an anonymous large model with blazing-fast inference, strong coding capabilities and native…

+ Completely free to use via the OpenRouter API+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Space Bunny Alpha review →
8
OpenAI: GPT-6 Luna ProPaid$0.10/1M tokens

OpenAI

GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full OpenAI: GPT-6 Luna Pro review →
9
OpenAI: GPT-6 LunaPaid$0.10/1M tokens

OpenAI

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full OpenAI: GPT-6 Luna review →
10
OpenAI: GPT-6 Sol ProPaid$2.00/1M tokens

OpenAI

GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with…

+ Large 1,050,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full OpenAI: GPT-6 Sol Pro review →

Mistral: Mistral Medium 3.5 vs top alternatives

A side-by-side look at how Mistral: Mistral Medium 3.5 stacks up against its closest rivals.

FeatureMistral: Mistral Medium 3.5Mistral AIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score8.1 / 109.6 / 109.5 / 109.2 / 10
Starting price$1.50/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$1.5 / 1M tokens$2 / 1M tokens$0.1 / 1M tokens$0.75 / 1M tokens
API output price$7.5 / 1M tokens$10 / 1M tokens$0.5 / 1M tokens$3.75 / 1M tokens
Speed—FastFastFast
Context window262,144 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 262,144-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Can return structured JSON output for reliable parsing
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • − Above-average API pricing ($1.5 per 1M input tokens)
  • − No native image generation
  • − Fewer consumer integrations than ChatGPT
  • − Usage caps on the most capable models
  • − Can be verbose and overly cautious
  • − Quality can be inconsistent on edge cases
  • − Privacy concerns for some users

Frequently asked questions

Q. Is Mistral: Mistral Medium 3.5 free?

No — Mistral: Mistral Medium 3.5 is a paid tool, starting at $1.50/1M tokens.

Q. How much does Mistral: Mistral Medium 3.5 cost?

Mistral: Mistral Medium 3.5 starts at $1.50/1M tokens. API usage is around $1.5 per 1M input tokens and $7.5 per 1M output tokens.

Q. What is Mistral: Mistral Medium 3.5 best for?

Mistral: Mistral Medium 3.5 is best suited to research and writing, within the chatbots & llms category.

Q. What are the best Mistral: Mistral Medium 3.5 alternatives?

Popular alternatives to Mistral: Mistral Medium 3.5 include Claude, ChatGPT, Gemini and Anthropic: Claude Sonnet 5.5. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Mistral: Mistral Medium 3.5?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from Mistral: Mistral Medium 3.5?

Common reasons include pricing, specific feature gaps (Above-average API pricing ($1.5 per 1M input tokens)), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

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