# Qwen2 API Rate Limits, Pricing & Performance (July 2026)

- Tool: AI API Limits & Performance Matrix
- Last updated: July 2026

## TL;DR

Qwen2 is no longer listed in the DashScope international catalog as of the July 2026 pricing update. No first-party API price is published — Qwen2 has been delisted. Access is available through third-party hosts (DeepInfra, Fireworks) for Qwen2.5-72B, or via open weights (Apache 2.0). For new projects, migrate to Qwen3-Max ($1.20/$6.00 on DashScope, 262K context, batch 50% off).

## Frequently asked questions

### Does Qwen2 still have an API?

Not through DashScope first-party as of July 2026. Qwen2 was delisted from the DashScope international catalog during the July 1-2, 2026 pricing update. No endpoint with a published price exists. Access is available through third-party hosts (DeepInfra, Fireworks, Together AI) for Qwen2.5-72B, or via self-hosted open weights (Apache 2.0 license).

### Is Qwen2 API free?

No free hosted API exists for Qwen2 — it is delisted from DashScope. Alibaba's 1M-token free trial applies only to models in the current DashScope catalog. You can run Qwen2-72B for free by self-hosting the open weights (Apache 2.0 license), paying only for GPU infrastructure.

### What is the best migration path from Qwen2?

For most teams: switch to Qwen3-Max on DashScope international (model string: qwen3-max). It is the current DashScope flagship, offers 262K context (vs 128K for Qwen2-72B), costs $1.20/$6.00 per MTok, and supports a 50% batch discount. If your workload is cost-sensitive and context requirements are modest, also evaluate Llama 4 Scout at $0.08-$0.11/$0.30 on third-party hosts.

### Can I still self-host Qwen2?

Yes — Qwen2-72B-Instruct is available on Hugging Face at huggingface.co/Qwen/Qwen2-72B-Instruct under the Apache 2.0 license, which permits commercial use. You need approximately 2-4 A100 40GB GPUs at FP16. Deploy with vLLM for efficient throughput.

### What is Qwen2 vs Qwen2.5 vs Qwen3-Max?

Qwen2 was released in 2024 and is now largely superseded. Qwen2.5 added capability improvements and is still served by third-party hosts. Qwen3-Max (released January 2026) is the current prior-gen DashScope flagship with 262K context and thinking mode, now itself superseded by Qwen3.7-Max. For new projects, use Qwen3-Max or Qwen3.7-Max on DashScope.

### Why is Qwen2 rate limit information not available?

Because Qwen2 is delisted from the current DashScope catalog, no rate limits are published. DashScope did not prominently publish RPM/TPM limits for Qwen2 even when it was active. Third-party hosts that serve Qwen2.5-72B have their own rate limits visible in their consoles.

### How do I integrate Qwen2 for existing workflows that I cannot immediately migrate?

Use a third-party OpenAI-compatible host: DeepInfra (base_url: https://api.deepinfra.com/v1/openai, model: Qwen/Qwen2-72B-Instruct) or Fireworks (base_url: https://api.fireworks.ai/inference/v1, model: accounts/fireworks/models/qwen2-72b-instruct). This approach buys migration time. RapidDev (rapidevelopers.com/contact) can help architect a phased migration to Qwen3-Max while maintaining backward compatibility for existing integrations.

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Source: https://www.rapidevelopers.com/ai-api-limits-performance-matrix/qwen2
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