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Mistral: Mistral Small 4 (batch)

by Mistral AI

8.1
Quality score / 10

Overview

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. It combines strong reasoning from...

Our take

In the crowded field of AI chatbots and assistants, Mistral Small 4 positions itself as a contender for developers building complex applications. Unlike some alternatives such as Claude or ChatGPT, which are often presented as general-purpose conversational agents, this model focuses on programmatic utility with features like tool/function calling and structured JSON outputs. Its 262,144-token context window allows for extensive input, making it suitable for tasks such as summarising lengthy research papers or handling detailed documentation. The integrated reasoning capabilities, often referred to as 'chain-of-thought', are designed to tackle more challenging problems, further separating it from simpler models. While it does not offer a free tier, its API pricing of $0.075 per 1M input tokens is noted as being cheaper than approximately 75% of comparable models. This makes it ideal for developers and businesses who require advanced capabilities, including vision input, for agent-style workflows or research applications, and are sensitive to per-token costs. Those seeking a free entry point or a consumer-facing chat interface may need to look elsewhere.

How Mistral: Mistral Small 4 (batch) stacks up

Among the 375 chatbots & llms tools in our directory, it ranks #135 of 360 on quality (8.1/10), 1% above the 360-tool average of 8.0, and its $0.075/1M input-token rate is in the budget end — 96% cheaper than the 350-model average of $1.69/1M.

Weighing quality against cost, Mistral: Mistral Small 4 (batch)'s cost-per-quality-point of $0.01 places it in the top 10% for value among chatbots & llms tools.

Mistral: Mistral Small 4 (batch) in depth

Mistral: Mistral Small 4 (batch), built by Mistral AI, sits in the chatbots & llms space and is a paid tool starting at $0.07/1M 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 Small 4 (batch) 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 low api price — $0.075 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: Mistral Small 4 (batch) 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
2026-09-10

Key features

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

Pricing

$0.07/1M tokens
Pay per token
Paid$0.07/1M tokens
API input
$0.075 / 1M tokens
API output
$0.3 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.075 per 1M input tokens, cheaper than roughly 75% of comparable models
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Accepts images as input (vision-capable)
  • +Supports tool / function calling for agent-style workflows

Cons

  • No free tier — usage is billed per token

Who should use Mistral: Mistral Small 4 (batch)

  • Anyone looking for a chatbots & llms tool from Mistral AI.
  • Teams and individuals focused on research and writing.
  • People who value low api price — $0.075 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • 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 no free tier — usage is billed per token is a dealbreaker.

Best for

10 Best Mistral: Mistral Small 4 (batch) Alternatives in 2026

Mistral: Mistral Small 4 (batch) 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 Small 4 (batch), 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
OpenAI: GPT-6 Astra (batch)Paid$5.00/1M tokens

OpenAI

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software…

+ 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 Astra (batch) review →
5

OpenAI

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), 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 Astra Pro (batch) review →
6
Qwen: Qwen3.8 Max (0902)Paid$2.00/1M tokens

Qwen

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team.

+ 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 (0902) review →
7

Meta

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ 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 Meta: Muse Spark 1.3 Contributor review →
8
Meta: Muse Spark 1.3Paid$1.25/1M tokens

Meta

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.

+ 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 1.3 review →
9

Google

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software…

+ 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 3.8 Flash (batch) review →
10

Anthropic

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running…

+ 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 Fable 5.1 (batch) review →

Mistral: Mistral Small 4 (batch) vs top alternatives

A side-by-side look at how Mistral: Mistral Small 4 (batch) stacks up against its closest rivals.

FeatureMistral: Mistral Small 4 (batch)Mistral AIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score8.1 / 109.6 / 109.5 / 109.2 / 10
Starting price$0.07/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$0.075 / 1M tokens$5 / 1M tokens$5 / 1M tokens$0.375 / 1M tokens
API output price$0.3 / 1M tokens$25 / 1M tokens$25 / 1M tokens$1.875 / 1M tokens
SpeedFastFastFast
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
  • + Low API price — $0.075 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + 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
  • 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 Small 4 (batch) free?

No — Mistral: Mistral Small 4 (batch) is a paid tool, starting at $0.07/1M tokens.

Q. How much does Mistral: Mistral Small 4 (batch) cost?

Mistral: Mistral Small 4 (batch) starts at $0.07/1M tokens. API usage is around $0.075 per 1M input tokens and $0.3 per 1M output tokens.

Q. What is Mistral: Mistral Small 4 (batch) best for?

Mistral: Mistral Small 4 (batch) is best suited to research and writing, within the chatbots & llms category.

Q. What are the best Mistral: Mistral Small 4 (batch) alternatives?

Popular alternatives to Mistral: Mistral Small 4 (batch) include Claude, ChatGPT, Gemini and OpenAI: GPT-6 Astra (batch). Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Mistral: Mistral Small 4 (batch)?

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 Small 4 (batch)?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token), 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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