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/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. | 1M | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $0.10 | — |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $0.40 | — |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.01 | — |
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. | $0.05Google AI Studio | $0.36DeepInfra |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.20Google AI Studio | $0.40DeepInfra |
| $40.00Google list price | $92.00DeepInfra · fp8 | |
| Overview | ||
| Company | Qwen | |
| Release date | Jun 17 2025 | Sep 19 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 2.5 Flash-LitevsClaude Haiku 5.5Qwen2.5vsClaude Haiku 5.5Gemini 2.5 Flash-LitevsGPT-6.1 SolQwen2.5vsGPT-6.1 SolGemini 2.5 Flash-LitevsMuse Spark OpenQwen2.5vsMuse Spark OpenGemini 2.5 Flash-LitevsGrok 4.7Qwen2.5vsGrok 4.7Gemini 2.5 Flash-LitevsDeepSeek-V4.1-Flash-1017Qwen2.5vsDeepSeek-V4.1-Flash-1017Gemini 2.5 Flash-LitevsMistral Large 4Qwen2.5vsMistral Large 4Frequently asked questions
Gemini 2.5 Flash-Lite and Qwen2.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Gemini 2.5 Flash-Lite has a verified first-party API price: $0.10 per million input tokens and $0.40 per million output tokens. No pay-as-you-go API rate is tracked for Qwen2.5. Qwen2.5 shipped 271 days before Gemini 2.5 Flash-Lite, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 2.5 Flash-Lite) vs 128k (Qwen2.5). Gemini 2.5 Flash-Lite is closed, while Qwen2.5 is open weight.
Direct benchmark comparisons are unavailable — Gemini 2.5 Flash-Lite and Qwen2.5 don't publish scores on any of the same benchmarks.