Does claude-haiku-4-5-20251001 have a free tier?

Claude Haiku 4.5 is billed per use and the record publishes no free-tier allowance. The current published rates are input $1.0000 per 1M tokens and output $5.0000 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.

What should you evaluate before moving production traffic to Claude Haiku 4.5?

Test your real-time and high-volume applications. Verify extended thinking, tool-assisted workflows, and coding performance meet your requirements.

What is the rate limit for claude-haiku-4-5-20251001?

claude-haiku-4-5-20251001 rate limits vary by your MixRoute subscription plan. Check your plan details in the console for requests per minute (RPM) and tokens per minute (TPM) limits. Run a small load test before production to confirm your effective quota.

What is the max output length for claude-haiku-4-5-20251001?

claude-haiku-4-5-20251001 supports up to 64000 output tokens per request. Plan your prompts to stay within this limit, and use the max_tokens or max_completion_tokens parameter to control output length.

How does claude-haiku-4-5-20251001 compare with other models, and what should you compare?

Compare claude-haiku-4-5-20251001 against models of similar capability and pricing on your actual workload. Evaluate latency, output quality, instruction following, and cost per task. Run side-by-side tests with your own prompts — the best model depends on your specific use case, not just benchmark scores.

How should you set the output budget for claude-haiku-4-5-20251001?

For claude-haiku-4-5-20251001, set the max_tokens or max_completion_tokens parameter to control spending per call. Start with a budget aligned to your typical response length and increase only when longer outputs are genuinely needed. Monitor token usage in the API response headers to tune your budget over time.

How much does prompt caching save on claude-haiku-4-5-20251001?

claude-haiku-4-5-20251001 supports prompt caching, which can significantly reduce costs for repeated prompts with shared prefixes. The cache read price is substantially lower than the standard input price. Check the current pricing page for the exact cache hit discount ratio for claude-haiku-4-5-20251001.

Model detail

Claude Haiku 4.5 20251001

Provided by Anthropic

Pay-as-you-go

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications. It introduces extended thinking to the Haiku line; enabling controllable reasoning depth, summarized or interleaved thought output, and tool-assisted workflows with full support for coding, bash, web search, and computer-use tools. Scoring >73% on SWE-bench Verified, Haiku 4.5 ranks among the world’s best coding models while maintaining exceptional responsiveness for sub-agents, parallelized execution, and scaled deployment.

Model specs

Model ID: claude-haiku-4-5-20251001

Context length: 200K
Max output: 64K
I/O modalities
Released: 2025-10

API endpoints

One MixRoute gateway, OpenAI-compatible

Anthropic Messages /v1/messages POST
OpenAI-compatible /v1/chat/completions POST
Gemini /v1beta/models/{model}:generateContent POST

Pricing

Flat rate, unit: /1M Tokens

Input

$1.0000 /1M Tokens

Completion

$5.0000 /1M Tokens

Cache read

$0.1000 /1M Tokens

Cache creation

$1.2500 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Fast, efficient frontier intelligence for real-time apps

Use Claude Haiku 4.5 for real-time and high-volume applications. It delivers near-frontier intelligence at a fraction of the cost and latency, scoring >73% on SWE-bench Verified with extended thinking support.

What should you check before using it?

Test extended thinking and tool-assisted workflows

Haiku 4.5 introduces extended thinking with controllable reasoning depth. Test your coding, bash, web search, and computer-use tools to confirm they work as expected. Knowledge cutoff: 2025-02.

Why use it through MixRoute?

Claude Haiku 4.5 takes text and images on one route

Text and image inputs share the same route and the same key. MixRoute serves Claude Haiku 4.5 on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID claude-haiku-4-5-20251001 and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

Claude Haiku 4.5 supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

Claude Haiku 4.5 can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

Claude Haiku 4.5 supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

Claude Haiku 4.5 supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

Vision input

Claude Haiku 4.5 can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.

OpenAI SDK

Call Claude Haiku 4.5 through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 200K

Output tokens Max per request 64K

Requests / month

Cache hit rate 0%

Share of the same prefix read repeatedly, up to 100%

FAQ

Use the model ID claude-haiku-4-5-20251001 through the compatible chat completions endpoint. It supports extended thinking with controllable reasoning depth.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

claude-haiku-4-5-20251001

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs