AI Model Release Tracker

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.
8B0.5B/1.5B/7B/57B/72B
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.
1M128k
Overview
CompanyGoogleQwen
Release dateOct 3 2024Jun 6 2024
AccessClosedOpen Weight
Model detailsView modelView model

Other comparisons

Gemini 1.5 Flash-8BvsClaude Haiku 5.5Qwen2vsClaude Haiku 5.5Gemini 1.5 Flash-8BvsGPT-6.1 SolQwen2vsGPT-6.1 SolGemini 1.5 Flash-8BvsMuse Spark OpenQwen2vsMuse Spark OpenGemini 1.5 Flash-8BvsGrok 4.7Qwen2vsGrok 4.7Gemini 1.5 Flash-8BvsDeepSeek-V4.1-Flash-1017Qwen2vsDeepSeek-V4.1-Flash-1017Gemini 1.5 Flash-8BvsMistral Large 4Qwen2vsMistral Large 4

Frequently asked questions

Gemini 1.5 Flash-8B and Qwen2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2 shipped 119 days before Gemini 1.5 Flash-8B, so benchmark comparisons should account for the intervening progress.

Gemini 1.5 Flash-8B has 8B parameters, while Qwen2 has 0.5B/1.5B/7B/57B/72B. Context windows are 1M (Gemini 1.5 Flash-8B) vs 128k (Qwen2). Gemini 1.5 Flash-8B is closed, while Qwen2 is open weight.

Direct benchmark comparisons are unavailable — Gemini 1.5 Flash-8B and Qwen2 don't publish scores on any of the same benchmarks.