How does Qwen2.5 7B Instruct rank among AI models?
Qwen2.5 7B Instruct has no public ModelCap Index position as of 22 September 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.
How much does Qwen2.5 7B Instruct cost per 1M tokens?
Qwen2.5 7B Instruct is listed at $0.10 per 1M input tokens and $0.20 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.30 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
What is the context window of Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct has a published context window of 33K tokens (32,768) and a maximum output of 29K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Is Qwen2.5 7B Instruct open-weight?
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is Qwen/Qwen2.5-7B-Instruct on Hugging Face.
Which API providers serve Qwen2.5 7B Instruct?
One provider serves Qwen2.5 7B Instruct through OpenRouter as of 22 September 2026: Phala. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
When was Qwen2.5 7B Instruct released?
Qwen2.5 7B Instruct first appeared in the catalogue on 16 Oct 2024, with a published knowledge cutoff of 2024-06-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.