NewsCryptoNEAR AI Cloud Integrates Claude Sonnet 5.5 for Coding and AI Agents

NEAR AI Cloud Integrates Claude Sonnet 5.5 for Coding and AI Agents

Author: CryptoBriefing·

Key Takeaways

  • •Cla Sonnet 5.5 scored 70.6% on the Terminal-Bench 4.0 coding benchmark, a substantial jump from the 10.3% achieved by its predecessor, Sonnet 5.
  • •The model is available on NEAR AI Cloud with a 1 million token context window, adaptive reasoning enabled by default, and pricing of $2 per million input tokens and $10 per million output tokens.
  • •Claude Sonnet 5.5 operates as an "Incognito" model through a proxied connection to Anthropic's infrastructure, so NEAR's TEE-based verifiable inference guarantees do not extend to this deployment.
  • •NEAR AI Cloud uses the NEAR token as its payment rail, allowing users to stake tokens to fund compute credits that are burned against API calls.
  • •The platform's pricing matches Anthropic's public rates, and it now hosts dozens of frontier models through its gateway after recently becoming a provider on OpenRouter.
NEAR AI Cloud Integrates Claude Sonnet 5.5 for Coding and AI Agents

NEAR AI Cloud has added Anthropic's Claude Sonnet 5.5 to its model lineup, giving developers access to one of the most capable coding models on the market through a blockchain-native inference platform. The model ships with a 1 million token context window, adaptive reasoning enabled by default, and pricing of $2 per million input tokens and $10 per million output tokens.

The performance leap is substantial. Claude Sonnet 5.5 scored 70.6% on Terminal-Bench 4.0, a coding evaluation benchmark, while its predecessor, Sonnet 5, managed just 10.3% on the same test.

What NEAR AI Cloud Offers

The integration runs through NEAR's unified gateway at cloud-api.near.ai, which supports both OpenAI-compatible and Anthropic-native API formats. Developers who have built against OpenAI's API structure can point their existing setup at NEAR's endpoint and access Claude Sonnet 5.5 without rewriting their integration layer.

One important caveat applies: Claude Sonnet 5.5 runs as an "Incognito" model on NEAR AI Cloud. Unlike other models the platform hosts inside Trusted Execution Environments (TEEs)—hardware-isolated enclaves designed to keep computation private and verifiable—this model operates through a proxied connection to Anthropic's infrastructure rather than within NEAR's secure enclaves. The privacy guarantees differ accordingly—interactions are non-retentive—but the execution model is not the same as NEAR's TEE-hosted options. For teams specifically seeking NEAR's verifiable inference guarantees, the distinction is material: those guarantees do not extend to Claude Sonnet 5.5 as deployed here.

The Crypto Layer Underneath

NEAR AI Cloud is more than a model hosting service with a blockchain logo attached. The platform uses the NEAR token as the payment rail for AI inference. Users can stake NEAR to fund compute credits, which are then burned against API calls. In practice, that means AI spending on the platform is settled in its native token rather than through conventional fiat billing, with inference usage translating directly into credit consumption.
The platform has been expanding its model catalog aggressively. It now supports dozens of frontier models through its gateway and recently became a provider on OpenRouter, the model routing service that lets developers compare and switch between AI providers.

Pricing aligns directly with Anthropic's public rates, so NEAR AI Cloud is not competing on cost. Its value proposition combines competitive pricing with blockchain-native features: verifiable inference, privacy-preserving architecture for TEE-hosted models, and token-based payment infrastructure.

Why It Matters for AI Infrastructure

The 70.6% Terminal-Bench 4.0 score positions Claude Sonnet 5.5 as a serious tool for autonomous coding agents—AI systems capable of writing, testing, and deploying code with minimal human oversight. These agents require long context windows to understand codebases, strong reasoning to make architectural decisions, and reliable infrastructure to run continuously.

The competitive landscape is crowded. Centralized providers such as AWS Bedrock, Google Cloud, and Azure all offer Anthropic models, while decentralized inference networks like Akash are attempting to undercut on price. NEAR AI Cloud occupies a middle position: centralized enough to deliver reliable performance and standard APIs, decentralized enough to integrate token economics and privacy infrastructure. Two details will shape how developers evaluate the platform going forward: whether TEE-hosted coverage extends to more frontier models over time, and how NEAR's role on OpenRouter channels traffic to its gateway.