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OpenAI: GPT-5 Nano (batch)

by OpenAI

8.3
Quality score / 10

Overview

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

Our take

For developers building applications that require rapid, low-latency AI interactions, OpenAI's GPT-5 Nano (batch) offers a focused solution. Unlike larger, more general-purpose models, this variant prioritises speed and efficiency, making it suitable for scenarios where quick responses are paramount. Its 400,000-token context window and ability to accept image inputs, coupled with built-in reasoning and tool-calling capabilities, position it for more complex, agent-style workflows. The model also supports structured JSON outputs, which can simplify integration into existing systems. Priced at $0.025 per 1M input tokens, it is positioned as a cost-effective option compared to roughly 75% of comparable models, though it lacks a free tier. This makes it ideal for developers and organisations who need an economical, high-throughput model for integration into their applications, particularly where vision capabilities and structured outputs are beneficial. Those seeking a free-to-use model should look elsewhere.

How OpenAI: GPT-5 Nano (batch) stacks up

Among the 354 chatbots & llms tools in our directory, it ranks #90 of 343 on quality (8.3/10), 5% above the 343-tool average of 7.9, and its $0.025/1M input-token rate is in the budget end — 99% cheaper than the 333-model average of $2.14/1M.

Weighing quality against cost, OpenAI: GPT-5 Nano (batch)'s cost-per-quality-point of $0.00 places it in the top 1% for value among chatbots & llms tools.

OpenAI: GPT-5 Nano (batch) in depth

OpenAI: GPT-5 Nano (batch), built by OpenAI, sits in the chatbots & llms space and is a paid tool starting at $0.02/1M tokens. Our editors rate it 8.3 out of 10 based on capability, ecosystem and value. It handles a context window of 400,000 tokens.

On the feature side, OpenAI: GPT-5 Nano (batch) brings 400,000-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 — $0.025 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.

OpenAI: GPT-5 Nano (batch) is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
400,000 tokens
Free tier
No
Updated
2026-07-29

Key features

  • 400,000-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs
  • Knowledge cutoff 2024-05-31

Pricing

$0.02/1M tokens
Pay per token
Paid$0.02/1M tokens
API input
$0.025 / 1M tokens
API output
$0.2 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.025 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 OpenAI: GPT-5 Nano (batch)

  • Anyone looking for a chatbots & llms tool from OpenAI.
  • Teams and individuals focused on research and writing.
  • People who value low api price — $0.025 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • Workflows that need a 400,000 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.

Best for

10 Best OpenAI: GPT-5 Nano (batch) Alternatives in 2026

OpenAI: GPT-5 Nano (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 OpenAI: GPT-5 Nano (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
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 →
5
Claude Opus 5 (Fast)Paid$10.00/1M tokens

Anthropic

Fast-mode variant of [Opus 5](/anthropic/claude-opus-5) - identical capabilities with higher output speed at 2x pricing…

+ 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 Claude Opus 5 (Fast) review →
6
Claude Opus 5Paid$5.00/1M tokens

Anthropic

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work.

+ 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 Claude Opus 5 review →
7

Google

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.

+ 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 3.6 Flash (batch) review →
8

Google

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.

+ Low API price — $0.15 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 Google: Gemini 3.5 Flash Lite (batch) review →
9
Thinking Machines: InklingPaid$1.00/1M tokens

Thinkingmachines

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters…

+ 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 review →
10
MoonshotAI: Kimi K3Paid$3.00/1M tokens

Moonshot AI

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI.

+ 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 MoonshotAI: Kimi K3 review →

OpenAI: GPT-5 Nano (batch) vs top alternatives

A side-by-side look at how OpenAI: GPT-5 Nano (batch) stacks up against its closest rivals.

FeatureOpenAI: GPT-5 Nano (batch)OpenAIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score8.3 / 109.6 / 109.5 / 109.2 / 10
Starting price$0.02/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$0.025 / 1M tokens$10 / 1M tokens$0.5 / 1M tokens$0.75 / 1M tokens
API output price$0.2 / 1M tokens$50 / 1M tokens$3 / 1M tokens$3.75 / 1M tokens
SpeedFastFastFast
Context window400,000 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 400,000-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 — $0.025 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 OpenAI: GPT-5 Nano (batch) free?

No — OpenAI: GPT-5 Nano (batch) is a paid tool, starting at $0.02/1M tokens.

Q. How much does OpenAI: GPT-5 Nano (batch) cost?

OpenAI: GPT-5 Nano (batch) starts at $0.02/1M tokens. API usage is around $0.025 per 1M input tokens and $0.2 per 1M output tokens.

Q. What is OpenAI: GPT-5 Nano (batch) best for?

OpenAI: GPT-5 Nano (batch) is best suited to research and writing, within the chatbots & llms category.

Q. What are the best OpenAI: GPT-5 Nano (batch) alternatives?

Popular alternatives to OpenAI: GPT-5 Nano (batch) include Claude, ChatGPT, Gemini and Qwen: Qwen3.7 Flash. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to OpenAI: GPT-5 Nano (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 OpenAI: GPT-5 Nano (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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