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. | 128k | 2M |
| 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 | — | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 19% |
| Overview | ||
| Company | Qwen | SpaceXSI |
| Release date | Nov 12 2024 | Nov 19 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Qwen2.5-CodervsClaude Haiku 5.5Grok 4.1 FastvsClaude Haiku 5.5Qwen2.5-CodervsGPT-6.1 SolGrok 4.1 FastvsGPT-6.1 SolQwen2.5-CodervsGemini 4 ArgonGrok 4.1 FastvsGemini 4 ArgonQwen2.5-CodervsMuse Spark OpenGrok 4.1 FastvsMuse Spark OpenQwen2.5-CodervsDeepSeek-V4.1-Flash-1017Grok 4.1 FastvsDeepSeek-V4.1-Flash-1017Qwen2.5-CodervsMistral Large 4Grok 4.1 FastvsMistral Large 4Frequently asked questions
Qwen2.5-Coder and Grok 4.1 Fast don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2.5-Coder shipped 372 days before Grok 4.1 Fast, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (Qwen2.5-Coder) vs 2M (Grok 4.1 Fast). Qwen2.5-Coder is open weight, while Grok 4.1 Fast is closed.
Direct benchmark comparisons are unavailable — Qwen2.5-Coder and Grok 4.1 Fast don't publish scores on any of the same benchmarks.