Compare AI models
| Specifications | ||
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | — | 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 third-party providers, excluding the lab itself. 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 third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $30.00OpenAI |
| Benchmarks | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 68% | 42.5% |
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. | 49% | — |
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. | 62.3% | — |
| Overview | ||
| Company | Anthropic | OpenAI |
| Release date | Feb 24 2025 | Nov 6 2023 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Claude 3.7 SonnetvsGemini 4 ArgonGPT-4 TurbovsGemini 4 ArgonClaude 3.7 SonnetvsMuse Spark 1.3GPT-4 TurbovsMuse Spark 1.3Claude 3.7 SonnetvsGrok 4.7GPT-4 TurbovsGrok 4.7Claude 3.7 SonnetvsDeepSeek-V4.1-FlashGPT-4 TurbovsDeepSeek-V4.1-FlashClaude 3.7 SonnetvsMistral Large 4GPT-4 TurbovsMistral Large 4Claude 3.7 SonnetvsKimi K3GPT-4 TurbovsKimi K3Frequently asked questions
Claude 3.7 Sonnet leads GPT-4 Turbo on 1 of the 1 benchmark they both report (GPQA Diamond). 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 Claude 3.7 Sonnet. GPT-4 Turbo shipped 476 days before Claude 3.7 Sonnet, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On GPQA Diamond, Claude 3.7 Sonnet leads at 68% vs GPT-4 Turbo at 42.5%.