---
title: The cheapest LLM API for coding agents in 2026, ranked
description: Honest cost-per-1k-tokens comparison across OpenAI, Anthropic, Together, Fireworks, OpenRouter, and jusCode for typical coding-agent workloads. Updated May 2026.
tldr: For coding agents, the cheapest LLM API is the one that picks a different model per call. Typical blended cost is 60-80% less than always-Sonnet, with no quality regression. Direct providers (Anthropic, OpenAI) are most expensive per token. Cloudflare Workers AI is cheapest hosted. jusCode auto-routes to the right tier for each step.
date: 2026-05-26
author: jusCode
cluster: comparison
tags: cheapest-llm-api, cost-comparison, openrouter-alternative, coding-agents, inference-pricing
---

# The cheapest LLM API for coding agents in 2026, ranked

If you're running an AI coding agent (Claude Code, Cursor, Aider, OpenCode, Cline) your monthly bill is almost certainly bigger than it needs to be. The cheapest API for a chat is not the cheapest API for an agent, because agents make 5-20 calls per task with long contexts. This post compares actual per-task cost, not headline per-token rate, and tells you what to switch to.

## What "cheap" means for a coding agent

A typical agent task, *"refactor this function to use async/await and update the tests"*, generates roughly:

- 5,000–20,000 prompt tokens (source files + history)
- 500–3,000 completion tokens (diff + reasoning)
- 5–15 round trips (read file → propose edit → run tests → iterate)

That's 50k–250k tokens per task. At Sonnet 4.5 rates ($3 / 1M input, $15 / 1M output), a single task is $0.20–$1.20. Hundred tasks a day, you're at $20–$120/day per engineer. **The optimization isn't the per-token rate. It's routing the easy steps to a cheaper model.**

## The 2026 price grid (input / output, USD per 1M tokens)

| Provider | Top model | Mid model | Cheap model |
|---|---|---|---|
| Anthropic direct | Sonnet 4.5: $3 / $15 | Haiku 4.5: $1 / $5 | n/a |
| OpenAI direct | GPT-5: $5 / $20 | GPT-5-mini: $0.40 / $1.60 | GPT-5-nano: $0.05 / $0.40 |
| Together.ai | Llama 4 Maverick: $0.88 / $0.88 | Qwen3 Coder 480B: $0.90 / $1.20 | Llama 4 Scout 17B: $0.18 / $0.59 |
| Fireworks | Same as Together-ish | DeepSeek V4: $0.27 / $1.10 | Llama 4 8B: $0.10 / $0.30 |
| Cloudflare Workers AI | Kimi K2.6: $0.50 / $1.50 | Qwen3 8B: $0.10 / $0.20 | Llama 3.2 1B: $0.02 / $0.05 |
| OpenRouter | Aggregator: passes through + 5% | same | same |
| **jusCode** | **Auto-routed: typical $0.20–$1.00 / 1M blended** | | |

*Prices as of May 2026. Verify on each provider's site before relying on these.*

## The honest ranking

### 1. Self-hosted Llama 4 8B on a single H100: cheapest if your time is free
For batch overnight runs, this is unbeatable. For interactive coding agents, you're paying $2/hour for an idle GPU 90% of the time. Not realistic unless you're already an infra team.

### 2. Cloudflare Workers AI (`@cf/...` models): cheapest hosted
$0.10–$0.50 / 1M tokens for the open-weights catalog. Edge-local, low latency. Smaller model selection. Coverage gaps for vision and very-long context.

### 3. Fireworks / Together: cheapest big-catalog hosting
Wide model selection, no minimums, fast. ~30-50% cheaper than Anthropic/OpenAI direct for equivalent capability via open weights.

### 4. OpenRouter: convenience tax
Same prices as the underlying provider + a small markup. Good if you want one bill across many providers and don't want to think about routing.

### 5. jusCode: cheapest if you're running an *agent*
Same model menu, but **the system picks per call**. A read-only file inspection goes to an 8B model for $0.02. A multi-file refactor goes to Sonnet for $0.30. Average blended cost is 60–80% less than always-Sonnet, with the same task-completion rate. We benchmark this monthly on a fixed task suite.

### 6. Anthropic / OpenAI direct: most expensive per token, simplest to set up
Top-tier capability. If your agent only ever needs Sonnet or GPT-5 and the bill doesn't bother you, go direct.

## A real example

A team running Cursor with default Sonnet 4.5 settings, 8 engineers, 4 hours/day each, was spending ~$2,800/month. Switching the Cursor custom base URL to jusCode (5 minutes of config), no other change, dropped them to ~$680/month over the next 30 days, with the same diff quality across their internal rubric. The savings came from jusCode routing trivial completions (lint fixes, type annotations, single-line edits) to Qwen3 8B and reserving Sonnet for the hard cases.

We have a full case-study writeup with the methodology. Email hello@juscode.co if you want a copy.

## Setup, by tool

- [Use jusCode with Claude Code](/docs/claude-code/)
- [Use jusCode with OpenCode](/docs/opencode/)
- [OpenAI-compatible drop-in (Cursor, Aider, Cline, Continue, Goose)](/docs/openai-drop-in/)

## Caveats and biases

- We're jusCode. Our number is rosier than competitors'. That said, the methodology (50 fixed real-world tasks, evaluated by 3 senior engineers blind to provider) is in [our docs](/docs/api-reference/) and you can reproduce it with our trial credits.
- Prices change monthly. Anything written here is stale within 90 days. Check primary sources.
- "Cheapest" for coding is not "cheapest" for chat, not "cheapest" for RAG, not "cheapest" for vision. Read your own logs before picking.

## Related reading

- [OpenRouter alternatives in 2026](/blog/openrouter-alternatives-2026/)
- [What is an inference endpoint?](/blog/what-is-an-inference-endpoint/)
- [Why your Cursor bill is too high, and three ways to cut it](/blog/cursor-too-expensive-options/)
- [API reference](/docs/api-reference/)

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*Raw markdown: [/blog/cheapest-llm-api-for-coding-2026.md](/blog/cheapest-llm-api-for-coding-2026.md)*