AI Tool

Context Mode Review

Context Mode is a hosted AI gateway that compresses bulky outputs and routes AI model requests to help developers and teams manage interaction costs and session continuity.

shipped Nov 1, 2026freemium

Visit Context Mode↗

Why it matters

1Free tier includes 1,000 requests.

2Pro pricing starts at $20 per month.

3Listed usage pricing ranges from $0.068 to $0.087 per request.

4Supports interactions with Anthropic Claude and OpenAI GPT.

About Context Mode

Business Model

Subscription SaaS

Usage Pricing

$0.087 - $0.068 per request

Free Credits

1,000 requests free

Headquarters

London, United Kingdom

Platforms

Web, API

Target Audience

Developers and teams utilizing AI coding agents.

Pricing Plans

Free Tier

Free

• 1,000 requests free, every feature, no card

Pro

From $20/month

• One policy for Claude Code and Codex
• Presets and custom rules
• Log of every decision

Cost Examples

• Long agentic coding session: $2.49 instead of $7.20
• Test fix loop: $0.068

API Docs GitHubOpen Source

overview

What is Context Mode?

Context Mode is a hosted AI gateway tool that enables developers and teams using AI coding agents to reduce the cost of model interactions. It compresses bulky outputs and routes requests, and its listed features include memory retention and session continuity. The product also describes centralized command and security rules enforcement. Context Mode lists Anthropic Claude and OpenAI GPT as supported models. Its website provides documentation at https://contextmode.ai/docs and a privacy policy at https://contextmode.ai/privacy.

features

Key Features of Context Mode

Context Mode describes its features as gateway functions for managing AI model interactions, with an emphasis on output compression, request routing, and session continuity.

Hosted gateway for AI model interactions.
Compression of bulky model outputs.
Request routing intended to reduce interaction costs.
Cost management for AI interactions.
Memory retention across interactions.
Session continuity for ongoing AI work.
Centralized command for AI coding-agent interactions.
Security rules enforcement.
Support for Anthropic Claude and OpenAI GPT.
Text-based multimodality.

use cases

Who Should Use Context Mode?

Context Mode identifies developers and teams using AI coding agents as its target audience. Its stated use cases focus on managing model-interaction costs and maintaining continuity across AI sessions.

Developers using AI coding agents who want to compress bulky outputs.
Teams using AI coding agents that need centralized command and security rules.
Developers and teams seeking to reduce the cost of AI model interactions.
Users who need memory retention and session continuity across AI interactions.

how to use

How to Use Context Mode

Context Mode provides a hosted gateway and documentation at https://contextmode.ai/docs. The published product information does not specify exact setup commands or configuration fields.

1Visit https://contextmode.ai/ to review the service and available plans.
2Consult the documentation at https://contextmode.ai/docs for setup instructions.
3Choose a plan, including the free tier or Pro plan starting at $20 per month.
4Configure supported model interactions with Anthropic Claude or OpenAI GPT as directed by the documentation.
5Use the gateway's output compression and request routing features for AI coding-agent interactions.
6Review usage and session continuity needs against the plan and listed per-request pricing.

pricing

Context Mode Pricing & Plans

Context Mode has a free tier with 1,000 requests free and a Pro plan starting at $20 per month. Listed usage pricing is $0.068–$0.087 per request. The supplied cost examples are $2.49 for a long agentic coding session, compared with $7.20, and $0.068 for a test-fix loop. The available information does not specify which features or request limits beyond the stated free requests are included in each plan.

Free Tier: Free; includes 1,000 requests.
Pro: From $20 per month.
Usage pricing: Listed range of $0.068–$0.087 per request.
Example: Long agentic coding session listed at $2.49 instead of $7.20.
Example: Test-fix loop listed at $0.068.

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Pros

+Combines output compression with request routing to address interaction costs.
+Offers a free tier with 1,000 requests.
+Lists a Pro plan starting at $20 per month and per-request pricing.
+Targets session continuity and memory retention for AI coding-agent work.
+Lists Anthropic Claude and OpenAI GPT among supported models.
+Has a GitHub repository with an open-source component.

Cons

−The supplied product information does not specify detailed plan limits or exactly which features are included in each tier.
−The listed per-request price range and examples do not explain how the applicable rate is determined.
−The available information does not document specific compression methods or measured savings benchmarks.
−The supplied sources give conflicting information about API availability; verify current access and setup requirements in the official documentation.

Similar Tools

Context Mode vs Competitors

The stated distinction is the type of cost optimization each service emphasizes: Context Mode combines output compression with request routing, while the named alternatives emphasize proxy management, caching and governance, provider-price routing, or model selection. The supplied information does not establish feature-by-feature compatibility or equivalent pricing across these services.

LiteLLM↗

Runs as a self-hosted lightweight proxy server that normalizes 100+ LLM APIs into standard OpenAI format with built-in cost tracking, caching, and load balancing.

You must deploy and maintain the proxy container yourself rather than using a turnkey managed URL, and it does not perform automated prompt/context compression algorithms out of the box.

PortkeyOn Stork

Provides an AI gateway with integrated semantic caching, prompt guardrails, and automated fallback routing across multiple providers.

Portkey focuses heavily on enterprise observability, governance, and semantic caching rather than active context payload trimming or compression.

OpenRouterOn Stork

Acts as a hosted meta-gateway that routes to hundreds of open and proprietary models with automatic failover, lowest-price provider matching, and no subscription fees.

It solves cost reduction strictly through model pricing arbitration and competitive provider routing rather than trimming or compressing prompt payloads.

Martian↗

Uses machine-learning-based dynamic routing to automatically steer simpler queries to cheap models and complex queries to frontier models in real time.

It optimizes cost entirely at the routing and model-selection layer without compressing context windows or caching repetitive request payloads.

See every Context Mode alternative, compared→

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