Helmcode vs Munito AI

Choose Helmcode for a flat monthly bill per API key, when your coding agents run hard and a token meter makes the finance conversation difficult. Choose Munito AI when you want to pay for what you use, when you need an Anthropic-compatible API, OCR by the page, decision models, or a region you can prove from a response header.

Plans and limits checked on 2026-11-07. Prices change, so check them at the source.

At a glance

What Helmcode costs

Every plan carries unlimited tokens on Qwen3.6 and Gemma 4, and a monthly cap on DeepSeek V4.1 Flash and GLM 5.3 Flash. GLM 5.3 is an add-on at €150 per API key per month. A key is limited to 100 requests a minute, 2M tokens a minute and 1M context per request, with 5 concurrent processes per model, or 10 on the larger ones.

When the flat fee wins, and when it loses

The honest way to compare is to price your own volume both ways.

Starter is €399 a month for 5 billion metered tokens. At our EU standard rate for GLM-5.3-Flash, $0.15 input and $0.50 output, 5 billion tokens split evenly across input and output costs about $1,625. On that mix, Helmcode is cheaper, and clearly so.

Turn it around. A team that burns 200 million tokens a month on the same model pays about $65 here, and €399 there. The two meet near 1.3 billion tokens a month on that split, and the point moves with the exchange rate, with your input-to-output ratio, and with cached input, which costs $0.030 per million tokens on GLM-5.3-Flash and $0.0060 on DeepSeek-V4.1-Flash-1017.

So: heavy, steady, coding-agent traffic on two models favours a flat fee. Spiky traffic, a pilot, a long tail of small jobs, or anything with a large cached prefix favours a meter.

How to switch

Both speak the OpenAI API:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.eu.munito.ai/inference/v1",
    api_key="munitoai_...",
)

The same key answers the Anthropic Messages API, which matters for a coding team: Claude Code and other Anthropic-shaped harnesses connect with no proxy in between.

Where Helmcode is stronger

• A bill you can sign off once. No token forecast, no overage conversation, no surprise at month end.
• Unlimited tokens on Qwen3.6 and Gemma 4, which is a real answer for high-volume, low-stakes work.
• A published SLA at 99.5 and 99.9 per cent on the paid plans.
• Per-key budgeting that maps onto a team or a project with no extra tooling.

Where Munito AI is stronger

• You pay for what you use, with a free tier to start and no monthly floor. See Pricing.
• A larger catalog: DeepSeek-V4-Flash, DeepSeek-V4.1-Flash-1017, GLM-5.3-Flash, Qwen3.8-27B, Gemma 4 12B, Kolibri 1 and two decision models.
• The Anthropic Messages API beside the OpenAI Chat Completions and Responses APIs.
• A region you can prove. munito-region: EUROPE comes back on the response; "EU data" in a plan table does not name a data centre. See Regions.
• A DPA that applies with no signature, at legal.munito.ai/dpa, and a published sub-processor list.
• OCR billed per page at $0.0044, and decision models through the Decisions API.
• Sandboxes: a cloud computer for each agent, on the same account. See Sandboxes.

What a security review will ask

"Zero logs" and "EU data" are good lines, and a reviewer will still ask which data centre, which sub-processors, what the retention period is on an error path, and what the DPA says. Ask both vendors in writing.

Ours are at legal.munito.ai/dpa and trust.munito.ai/subprocessors, and the security review guide collects the rest. Our SOC 2 audit and ISO 27001 certification work are in progress.

Sources

Helmcode, checked 2026-11-07: pricing.

Munito AI: Models and prices, Regions, Data privacy, Security.