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. | 109B | — |
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. | 10M | 200k |
| 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. | — | $20.00 |
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. | — | $80.00 |
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. | $0.08DeepInfra | $20.00OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.24DeepInfra | $80.00OpenAI |
| $35.00DeepInfra · fp8 | $8,000OpenAI list price | |
| 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. | 20% | — |
| Overview | ||
| Company | Meta | OpenAI |
| Release date | Apr 5 2025 | Jun 10 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
LLaMA 4 ScoutvsClaude Haiku 5.5o3-provsClaude Haiku 5.5LLaMA 4 ScoutvsGemini 4 Argono3-provsGemini 4 ArgonLLaMA 4 ScoutvsGrok 4.7o3-provsGrok 4.7LLaMA 4 ScoutvsDeepSeek-V4.1-Flash-1017o3-provsDeepSeek-V4.1-Flash-1017LLaMA 4 ScoutvsMistral Large 4o3-provsMistral Large 4LLaMA 4 ScoutvsKimi K3o3-provsKimi K3Frequently asked questions
LLaMA 4 Scout and o3-pro don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only o3-pro has a verified first-party API price: $20.00 per million input tokens and $80.00 per million output tokens. No pay-as-you-go API rate is tracked for LLaMA 4 Scout. LLaMA 4 Scout shipped 66 days before o3-pro, so benchmark comparisons should account for the intervening progress.
Context windows are 10M (LLaMA 4 Scout) vs 200k (o3-pro). LLaMA 4 Scout is open weight, while o3-pro is closed.
Direct benchmark comparisons are unavailable — LLaMA 4 Scout and o3-pro don't publish scores on any of the same benchmarks.