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The Kumo blog

How token-gateway pricing really works, drop-in migration, and the engineering behind it. No fluff — just the mechanics

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grok

Grok 4.7: what changed and how to use it on Kumo

xAI shipped Grok 4.7 — nearly twice Grok 4.6's Terminal-Bench score at Grok 4.6's price of $2 and $6 per million tokens. Kumo pricing, the benchmarks, and two checks that prove the original model is answering.

anthropic

Claude Opus 5.5: what changed and how to use it on Kumo

Anthropic shipped Claude Opus 5.5 — Fable 5.1's level for $4 and $20 per million tokens. Kumo pricing, the benchmarks, and two checks that prove the original model is answering.

Latest

gpt-6

GPT-6 Sol: what changed and how to use it on Kumo

OpenAI shipped GPT-6 Sol — half the price of GPT-5.6 Sol and close to the best Claude models at a fraction of the cost per task. On Kumo it is $1.1 and $5.5 per million tokens. The benchmarks, and two checks that prove the original model is answering.

api

Cursor in Russia without a VPN: connect Kumo and get back to code

Connect Kumo to Cursor with your own API key: Russian cards, SBP and crypto payments, request checks and a cost comparison with subscriptions.

api

How to connect GPT to Cursor through Kumo after OpenAI's announcement

What OpenAI's Cursor announcement means, how to connect GPT through Kumo's API, and which custom-key compatibility limits you should check first.

claude

Low-priced Opus and Fable tokens for developers who code intensively

Opus 5 and Fable 5.1 prices on Kumo, Anthropic API comparisons and high-volume calculations. No weekly subscription quotas; card or crypto payments.

analysis

Which models play the best chess — and why it matters

A fast DeepSeek model just beat Claude, GPT and Kimi over the board. Chess Elo looks like a proxy for hard algorithmic reasoning — here’s the debate, and the practical takeaway for picking a model.

analysis

Why an LLM is a risky fact-checker — and how not to get fooled

A model has no opinion of its own: it interpolates over its training data and defends its early mistakes. Here’s why frequency beats truth, why a chat gets stubborn mid-conversation, and a practical protocol for validating facts with AI.

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