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Mistral: Ministral 8B

by Mistral AI

6.7
Quality score / 10

Overview

Ministral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it supports up to 128k context length...

Our take

Among the numerous AI chatbots available, Ministral 8B positions itself for specific operational niches. Its ability to return structured JSON outputs, for instance, makes it suitable for automating data extraction from lengthy documents, where its 128,000-token context window can accommodate substantial text. Unlike alternatives such as Claude or ChatGPT, which often prioritise broader conversational capabilities, Ministral 8B’s focus on structured outputs and its lower API price of $0.11 per 1M input tokens, which is cheaper than approximately 75% of comparable models, suggest a design for developers integrating AI into automated workflows. The absence of a free tier and its text-only input, however, mean it is not suited for casual exploration or multimodal tasks. Ideal for developers who need cost-effective, predictable output from a model with a recent knowledge cutoff of 2024-09-30, Ministral 8B is a candidate for integration into applications requiring programmatic text processing, though its context window is smaller than most current models. For those seeking an accessible, free-to-try chatbot or one with image input capabilities, this model is not the appropriate choice.

How Mistral: Ministral 8B stacks up

Among the 372 chatbots & llms tools in our directory, it ranks #332 of 361 on quality (6.7/10), 16% below the 361-tool average of 8.0, and its $0.11/1M input-token rate is in the budget end — 93% cheaper than the 351-model average of $1.54/1M.

Weighing quality against cost, Mistral: Ministral 8B's cost-per-quality-point of $0.02 places it in the top 21% for value among chatbots & llms tools.

Mistral: Ministral 8B in depth

Mistral: Ministral 8B, built by Mistral AI, sits in the chatbots & llms space and is a paid tool starting at $0.11/1M tokens. Our editors rate it 6.7 out of 10 based on capability, ecosystem and value. It handles a context window of 128,000 tokens.

On the feature side, Mistral: Ministral 8B brings 128,000-token context window, structured (json) outputs and knowledge cutoff 2024-09-30. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is low api price — $0.11 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

Mistral: Ministral 8B is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
128,000 tokens
Free tier
No
Updated
2026-08-21

Key features

  • 128,000-token context window
  • Structured (JSON) outputs
  • Knowledge cutoff 2024-09-30

Pricing

$0.11/1M tokens
Pay per token
Paid$0.11/1M tokens
API input
$0.11 / 1M tokens
API output
$0.11 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.11 per 1M input tokens, cheaper than roughly 75% of comparable models
  • +Can return structured JSON output for reliable parsing

Cons

  • No free tier — usage is billed per token
  • Context window of 128,000 tokens is smaller than most current models
  • Text-only: does not accept image input

Who should use Mistral: Ministral 8B

  • Anyone looking for a chatbots & llms tool from Mistral AI.
  • Teams and individuals focused on research and writing.
  • People who value low api price — $0.11 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • Workflows that need a 128,000 tokens context window.

Who should look elsewhere

  • Anyone who needs a free tier — this tool is paid only.
  • Those for whom no free tier — usage is billed per token is a dealbreaker.
  • Users who can't accept that context window of 128,000 tokens is smaller than most current models.

Best for

10 Best Mistral: Ministral 8B Alternatives in 2026

Mistral: Ministral 8B 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: Ministral 8B, 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
Ox AlphaFree tierFree

Stealth

Ox Alpha is a reasoning model designed for coding, sustained agentic work, and production workloads.

+ Completely free to use via the OpenRouter API+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Ox Alpha review →
5
Qwen: Qwen3.8 27BPaid$0.45/1M tokens

Qwen

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows…

+ 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 27B review →
6

Google

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

+ 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 Google: Gemini 3.7 Flash (batch) review →
7
Meta: Muse Spark 1.2Paid$1.25/1M tokens

Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

+ 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 Meta: Muse Spark 1.2 review →
8
Qwen: Qwen3.8 MaxPaid$2.00/1M tokens

Qwen

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max…

+ 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 review →
9

Thinkingmachines

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active…

+ 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 Thinking Machines: Inkling Small review →
10
Qwen: Qwen3.7 FlashPaid$0.03/1M tokens

Qwen

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding…

+ Low API price — $0.03 per 1M input tokens, cheaper than roughly 75% of comparable models+ 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 Qwen: Qwen3.7 Flash review →

Mistral: Ministral 8B vs top alternatives

A side-by-side look at how Mistral: Ministral 8B stacks up against its closest rivals.

FeatureMistral: Ministral 8BMistral AIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score6.7 / 109.6 / 109.5 / 109.2 / 10
Starting price$0.11/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$0.11 / 1M tokens$10 / 1M tokens$0.1 / 1M tokens$0.1875 / 1M tokens
API output price$0.11 / 1M tokens$50 / 1M tokens$0.6 / 1M tokens$0.9375 / 1M tokens
SpeedFastFastFast
Context window128,000 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 128,000-token context window
  • Structured (JSON) outputs
  • Knowledge cutoff 2024-09-30
  • 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
  • + Low API price — $0.11 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + 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
  • No free tier — usage is billed per token
  • Context window of 128,000 tokens is smaller than most current models
  • Text-only: does not accept image input
  • 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: Ministral 8B free?

No — Mistral: Ministral 8B is a paid tool, starting at $0.11/1M tokens.

Q. How much does Mistral: Ministral 8B cost?

Mistral: Ministral 8B starts at $0.11/1M tokens. API usage is around $0.11 per 1M input tokens and $0.11 per 1M output tokens.

Q. What is Mistral: Ministral 8B best for?

Mistral: Ministral 8B is best suited to research and writing, within the chatbots & llms category.

Q. What are the best Mistral: Ministral 8B alternatives?

Popular alternatives to Mistral: Ministral 8B include Claude, ChatGPT, Gemini and Ox Alpha. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Mistral: Ministral 8B?

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: Ministral 8B?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; Context window of 128,000 tokens is smaller than most current models; Text-only: does not accept image input), 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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