Relace: Relace Search

Public pricingIntelligence 79/100Large memory

Relace: Relace Search एक टेक्स्ट मॉडल है, जिसे कोडिंग, सॉफ्टवेयर इंजीनियरिंग और agent workflows के लिए बनाया गया है। यह मजबूत coding प्रदर्शन، विश्वसनीय tool use और agent behavior, 256K tokens का context और संतुलित लागत profile जोड़कर कोडिंग, सॉफ्टवेयर इंजीनियरिंग और agent workflows में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो,

Input

$1.00/1M

Output

$3.00/1M

Cached

$0.05/1M

Batch

$0.25/1M

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Technical specifications

Relace Search at a glance.

Memory

256,000

tokens

Max reply

128,000

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Sep 2025

Training cutoff

Jun 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Relace Search

  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

Relace Search — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Relace Search costs roughly $195 per month. Input is $1.00 /1M tokens and output is $3.00 /1M tokens.
Relace Search has a 256,000-token context window (large memory — an entire book or large codebase). That means you can fit about 48,000 words of input and history in a single call.
Relace Search was released in September 2025, with training data cut off around June 2025.
Models in a similar class include Relace Apply 3, Claude Haiku 4.5, MiMo-V2-Pro. The "Similar models" section below this FAQ links into each.

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