Compare AI models
| 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/1.8B/4B/7B/14B/72B | 314B |
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. | 32k | 8k |
| Overview | ||
| Company | Qwen | SpaceXSI |
| Release date | Feb 4 2024 | Nov 3 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Qwen1.5vsClaude Haiku 5.5Grok‑1vsClaude Haiku 5.5Qwen1.5vsGPT-6.1 SolGrok‑1vsGPT-6.1 SolQwen1.5vsGemini 4 ArgonGrok‑1vsGemini 4 ArgonQwen1.5vsMuse Spark OpenGrok‑1vsMuse Spark OpenQwen1.5vsDeepSeek-V4.1-Flash-1017Grok‑1vsDeepSeek-V4.1-Flash-1017Qwen1.5vsMistral Large 4Grok‑1vsMistral Large 4Frequently asked questions
Qwen1.5 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 93 days before Qwen1.5, so benchmark comparisons should account for the intervening progress.
Qwen1.5 has 0.5B/1.8B/4B/7B/14B/72B parameters, while Grok‑1 has 314B. Context windows are 32k (Qwen1.5) vs 8k (Grok‑1).
Direct benchmark comparisons are unavailable — Qwen1.5 and Grok‑1 don't publish scores on any of the same benchmarks.