Compare AI models
| Specifications | ||
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. | 200k | 200k |
| 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. | — | $1.10OpenAI |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $4.40OpenAI |
| — | $440OpenAI | |
| 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. | 46% | — |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 33.4% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 59.4% | — |
| Overview | ||
| Company | Anthropic | OpenAI |
| Release date | Jun 20 2024 | Apr 16 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Claude 3.5 SonnetvsGemini 4 Argono4-mini-highvsGemini 4 ArgonClaude 3.5 SonnetvsMuse Spark Openo4-mini-highvsMuse Spark OpenClaude 3.5 SonnetvsGrok 4.7o4-mini-highvsGrok 4.7Claude 3.5 SonnetvsDeepSeek-V4.1-Flash-1017o4-mini-highvsDeepSeek-V4.1-Flash-1017Claude 3.5 SonnetvsMistral Large 4o4-mini-highvsMistral Large 4Claude 3.5 SonnetvsKimi K3o4-mini-highvsKimi K3Frequently asked questions
Claude 3.5 Sonnet and o4-mini-high don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 3.5 Sonnet shipped 300 days before o4-mini-high, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 3.5 Sonnet) vs 200k (o4-mini-high).
Direct benchmark comparisons are unavailable — Claude 3.5 Sonnet and o4-mini-high don't publish scores on any of the same benchmarks.