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. | — | 5.1B/8B/26B/31B |
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. | 32k | 256k |
| 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. | — | $0.042Darkbloom |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $0.18Makora |
| — | $19.40Darkbloom | |
| 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. | — | 25% |
| Overview | ||
| Company | ||
| Release date | Feb 8 2024 | Apr 2 2026 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 UltravsClaude Haiku 5.5Gemma 4vsClaude Haiku 5.5Gemini 1.0 UltravsGPT-6.1 SolGemma 4vsGPT-6.1 SolGemini 1.0 UltravsMuse Spark OpenGemma 4vsMuse Spark OpenGemini 1.0 UltravsGrok 4.7Gemma 4vsGrok 4.7Gemini 1.0 UltravsDeepSeek-V4.1-Flash-1017Gemma 4vsDeepSeek-V4.1-Flash-1017Gemini 1.0 UltravsMistral Large 4Gemma 4vsMistral Large 4Frequently asked questions
Gemini 1.0 Ultra and Gemma 4 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Ultra shipped 784 days before Gemma 4, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Ultra) vs 256k (Gemma 4). Gemini 1.0 Ultra is closed, while Gemma 4 is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.0 Ultra and Gemma 4 don't publish scores on any of the same benchmarks.