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. | 2B/7B | — |
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. | 8k | 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. | — | $10.00 |
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. | — | $30.00 |
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. | — | $10.00OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $30.00OpenAI |
| — | $3,500OpenAI list price | |
| These models have no shared benchmark scores. | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 42.5% |
| Overview | ||
| Company | OpenAI | |
| Release date | Feb 21 2024 | Nov 6 2023 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
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Gemma 1 and GPT-4 Turbo don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only GPT-4 Turbo has a verified first-party API price: $10.00 per million input tokens and $30.00 per million output tokens. No pay-as-you-go API rate is tracked for Gemma 1. GPT-4 Turbo shipped 107 days before Gemma 1, so benchmark comparisons should account for the intervening progress.
Context windows are 8k (Gemma 1) vs 128k (GPT-4 Turbo). Gemma 1 is open weight, while GPT-4 Turbo is closed.
Direct benchmark comparisons are unavailable — Gemma 1 and GPT-4 Turbo don't publish scores on any of the same benchmarks.