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.
0.5B/1.5B/3B/7B/14B/32B—
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.
128k128k
API pricingUSD per 1M tokens · lower wins
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page.
$0.66Cloudflare—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$1.00Cloudflare—
$182Cloudflare—
Overview
CompanyQwenSpaceXSI
Release dateNov 12 2024Mar 29 2024
AccessOpen WeightClosed
Model detailsView modelView model

Other comparisons

Qwen2.5-CodervsClaude Haiku 5.5Grok‑1.5vsClaude Haiku 5.5Qwen2.5-CodervsGPT-6.1 SolGrok‑1.5vsGPT-6.1 SolQwen2.5-CodervsGemini 4 ArgonGrok‑1.5vsGemini 4 ArgonQwen2.5-CodervsMuse Spark OpenGrok‑1.5vsMuse Spark OpenQwen2.5-CodervsDeepSeek-V4.1-Flash-1017Grok‑1.5vsDeepSeek-V4.1-Flash-1017Qwen2.5-CodervsMistral Large 4Grok‑1.5vsMistral Large 4

Frequently asked questions

Qwen2.5-Coder and Grok‑1.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Grok‑1.5 shipped 228 days before Qwen2.5-Coder, so benchmark comparisons should account for the intervening progress.

Context windows are 128k (Qwen2.5-Coder) vs 128k (Grok‑1.5). Qwen2.5-Coder is open weight, while Grok‑1.5 is closed.

Direct benchmark comparisons are unavailable — Qwen2.5-Coder and Grok‑1.5 don't publish scores on any of the same benchmarks.