Best Free OpenRouter Models for AI Coding Agents in 2026

The best free OpenRouter model for AI coding agents in 2026 is Qwen3-Coder (qwen/qwen3-coder:free), a 1-million-token coding model from Alibaba's Qwen team that costs nothing and handles the read-edit-run tool loop that coding agents depend on. OpenRouter hosts 23 genuinely free models as of July 2026 — their IDs all end in :free — and every one of them is capped at 20 requests per minute and 50 requests per day, rising to 1,000 requests per day after a one-time $10 credit purchase.

This is the hub for our free-model cluster. It ranks the top free OpenRouter models for coding-agent work, then points you to the tool-specific guides for OpenClaw, Hermes, Claude Code, and OpenAI Codex. Every model ID and context window here is pulled verbatim from the live OpenRouter models list, because the free roster rotates monthly and stale IDs are the fastest way to break an agent config.

What Is Actually Free on OpenRouter

OpenRouter marks free models with a :free suffix on the model ID, and as of July 2026 there are 23 of them live. Free means no per-token charge, but not no limits: all free models share a single quota of 20 requests per minute and 50 requests per day, and a one-time purchase of $10 in credits raises the daily ceiling to 1,000 requests permanently. The per-minute cap stays at 20 regardless.

The roster is not static. Providers add and pull free endpoints frequently, so a model ID that works today may return an error next month. The authoritative source is always OpenRouter's free-models collection, and the rate-limit rules are documented in OpenRouter's limits reference. For coding agents specifically, the models that matter are the ones with strong tool calling and large context windows, which narrows the 23 down to the handful ranked below.

Best Free OpenRouter Models, Ranked

These are the free OpenRouter models best suited to AI coding agents in July 2026, ranked for coding quality, tool reliability, and usable context. Each entry lists the exact ID, the maker, and the context window verbatim from the live API.

1. Qwen3-Coder — qwen/qwen3-coder:free

Maker: Qwen (Alibaba). Context: 1,048,576 tokens. Qwen3-Coder is a mixture-of-experts model built specifically for software work and is the strongest free coder on OpenRouter. Its million-token window holds large multi-file repositories, and it produces high-quality diffs inside agent loops. Best for: primary coding across almost any agent. Limitation: on long autonomous runs it can drift on strict instruction adherence versus a frontier paid model.

2. GPT-OSS 120B — openai/gpt-oss-120b:free

Maker: OpenAI (open-weight, Apache-2.0). Context: 131,072 tokens. GPT-OSS 120B has the cleanest tool-calling behavior of the free models because it follows OpenAI's conventions, which lowers the malformed-edit rate in agent harnesses. Best for: tool-heavy agents and OpenAI-style tooling such as Codex. Limitation: the 131K window is small next to the million-token options for whole-repo tasks.

3. Nemotron 3 Super 120B — nvidia/nemotron-3-super-120b-a12b:free

Maker: NVIDIA. Context: 1,000,000 tokens. A 120B MoE with roughly 12B active parameters, Nemotron 3 Super combines a million-token window with solid general reasoning, making it a strong long-context fallback when Qwen3-Coder is throttled. Best for: large-context reasoning tasks. Limitation: as a generalist it trails coding specialists on tight code generation.

4. Qwen3-Next 80B — qwen/qwen3-next-80b-a3b-instruct:free

Maker: Qwen (Alibaba). Context: 262,144 tokens. A fast MoE with about 3B active parameters, Qwen3-Next is responsive for interactive editing and follows instructions cleanly. Best for: a snappy background or default model. Limitation: fewer active parameters means weaker hard-reasoning performance than the larger entries.

5. Llama 3.3 70B Instruct — meta-llama/llama-3.3-70b-instruct:free

Maker: Meta. Context: 131,072 tokens. The most broadly supported free open model, Llama 3.3 70B behaves predictably across tools and routers, which makes it a reliable all-rounder for explanation and refactoring. Best for: compatibility-sensitive setups. Limitation: it is older than the Qwen and Nemotron entries and shows it on newer language features.

6. Gemma 4 31B — google/gemma-4-31b-it:free

Maker: Google. Context: 262,144 tokens. Gemma 4 31B is strong at following structured instructions, which suits system-prompt-heavy agent harnesses. Best for: mid-size tasks and documentation. Limitation: coding depth trails the specialist models above.

7. Cohere North Mini Code — cohere/north-mini-code:free

Maker: Cohere. Context: 256,000 tokens. A coding-tuned small model with a generous 256K window, North Mini Code is a lightweight option for focused edits without the weight of a 120B model. Best for: fast, targeted code tasks. Limitation: a smaller model shows its limits on complex multi-step problems.

8. GPT-OSS 20B — openai/gpt-oss-20b:free

Maker: OpenAI (open-weight). Context: 131,072 tokens. The lighter GPT-OSS keeps OpenAI's tool conventions while responding faster, so it is a good free background model for quick iterations. Best for: low-latency background work. Limitation: noticeably weaker multi-step reasoning than the 120B version.

Comparison Table

All eight models are free on OpenRouter and share the same tier limits: 20 requests per minute and 50 requests per day, rising to 1,000 per day after a one-time $10 credit purchase.

Plugging Free Models Into Your Coding Agent

Any OpenAI-compatible coding agent can call OpenRouter with a base URL of https://openrouter.ai/api/v1, an OPENROUTER_API_KEY, and a :free model ID. The exact configuration differs by tool, so we maintain a per-tool guide for each.

# The shared building block for any OpenAI-compatible agent
export OPENROUTER_API_KEY="your-openrouter-key"
# base_url: https://openrouter.ai/api/v1
# model:    qwen/qwen3-coder:free

• OpenClaw: configure OpenRouter as the provider and pick a :free model. See our best free models for OpenClaw and the OpenRouter rotation strategy guide.
• Hermes: the same OpenRouter provider approach applies. See best free models for Hermes Agent.
• Claude Code: route through a proxy or the OpenClaude fork, since Claude Code natively runs paid Anthropic models. See best free models for Claude Code.
• OpenAI Codex: add an OpenRouter provider block to ~/.codex/config.toml with wire_api = "responses". See best free models for OpenAI Codex.

Rate Limits and Limitations

Free OpenRouter models are excellent for learning, prototyping, and light production, but they are not a free lunch for heavy autonomous coding.

• Shared daily cap: 20 requests per minute and 50 requests per day (1,000/day after the one-time $10 top-up) apply across all free models combined, not per model. A single agentic task can burn through the daily cap.
• Deprioritization: free requests are queued behind paid traffic at peak, so latency spikes and 429 errors happen. There is no SLA on the free tier.
• Roster churn: the free lineup rotates monthly. Hard-coding a model ID without a fallback will eventually break your agent.
• Quality ceiling: free open models trail frontier paid models on complex multi-file reasoning and long-horizon planning. When quality is critical, our best cheap models for OpenClaw guide covers low-cost paid options that start around a fraction of a cent per million tokens.

The durable strategy is a tiered setup: run qwen/qwen3-coder:free as your primary, keep openai/gpt-oss-120b:free and a Nemotron model as fallbacks, and reserve a paid model for the tasks that genuinely need it. For the broader free-model landscape including local and other providers, see our best free AI models in 2026 guide.

Related Guides

• Best Free AI Models for OpenClaw
• Best Free Models for Hermes Agent
• Best Free Models for Claude Code
• Best Free Models for OpenAI Codex
• OpenRouter Free Models: Best Picks + Rotation Strategy