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Specifications
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality.
0.5B/1.5B/7B/57B/72B314B
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider.
128k8k
Overview
CompanyQwenSpaceXSI
Release dateJun 6 2024Nov 3 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Qwen2vsClaude Haiku 5.5Grok‑1vsClaude Haiku 5.5Qwen2vsGPT-6.1 SolGrok‑1vsGPT-6.1 SolQwen2vsGemini 4 ArgonGrok‑1vsGemini 4 ArgonQwen2vsMuse Spark OpenGrok‑1vsMuse Spark OpenQwen2vsDeepSeek-V4.1-Flash-1017Grok‑1vsDeepSeek-V4.1-Flash-1017Qwen2vsMistral Large 4Grok‑1vsMistral Large 4

Frequently asked questions

Qwen2 and Grok‑1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok‑1 shipped 216 days before Qwen2, so benchmark comparisons should account for the intervening progress.

Qwen2 has 0.5B/1.5B/7B/57B/72B parameters, while Grok‑1 has 314B. Context windows are 128k (Qwen2) vs 8k (Grok‑1).

Direct benchmark comparisons are unavailable — Qwen2 and Grok‑1 don't publish scores on any of the same benchmarks.