GPT-4.1 nanovsGrok 4.7
GPT-4.1 nano | Grok 4.7 | |
|---|---|---|
| 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. | 1M | 500k |
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $0.10 | $2.00 |
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. | $0.40 | $6.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.025 | $0.50 |
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. | $0.10Azure | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.40Azure | — |
| BenchmarksPublished by one model only | ||
DeepSWE 1.1Agentic coding — Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. (Version 1.1 of the test.) Higher is better. | — | 71% |
Terminal-Bench 4.0Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Version 4.0 recalibrated how much time, CPU and memory each task gets, removed eight tasks and fixed nineteen, so fewer runs fail for reasons that have nothing to do with the model. Scores are not comparable with earlier versions. Higher is better. | — | 38% |
EEBenchElectrical engineering — Electrical-engineering problems — the circuit and systems work an engineer would be handed. Reported in xAI's Grok 4.7 launch comparison, which does not say who publishes the test. Higher is better. | — | 64% |
Harvey's Legal Agent BenchmarkAgentic legal work — Harvey's test of whether an AI agent can complete real legal work — drafting and reviewing documents, working with spreadsheets and presentations, and navigating files the way a lawyer's assistant would. Higher is better. | — | 19.6% |
HealthBench ProfessionalHealth — Realistic health conversations graded against detailed rubrics written by physicians — can the AI respond the way a careful medical professional would? Higher is better. | — | 56.7% |
GDPval-AA v2.1Knowledge work — economically valuable knowledge work (v2.1, Crowd-BT Elo fit) | — | 1695 |
AA-Briefcase v1.1Knowledge work — Artificial Analysis agentic office-work eval (Elo, v1.1 rating fit) | — | 1657 |
| Overview | ||
| Company | OpenAI | SpaceXAI |
| Release date | Apr 14 2025 | Sep 21 2026 |
| Access | Proprietary | Proprietary |
Other comparisons
GPT-4.1 nanovsClaude Fable 5.1Grok 4.7vsClaude Fable 5.1GPT-4.1 nanovsGemini 3.8 FlashGrok 4.7vsGemini 3.8 FlashGPT-4.1 nanovsMuse Spark 1.3Grok 4.7vsMuse Spark 1.3GPT-4.1 nanovsDeepSeek-V4.1-FlashGrok 4.7vsDeepSeek-V4.1-FlashGPT-4.1 nanovsMistral Medium 3.5Grok 4.7vsMistral Medium 3.5GPT-4.1 nanovsKimi K3Grok 4.7vsKimi K3
Frequently asked questions
GPT-4.1 nano and Grok 4.7 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-4.1 nano is cheaper on both input and output: $0.10 vs $2.00 per million input tokens, and $0.40 vs $6.00 per million output tokens. Figures are base-tier rates. GPT-4.1 nano shipped 525 days before Grok 4.7, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (GPT-4.1 nano) vs 500k (Grok 4.7).
Direct benchmark comparisons are unavailable — GPT-4.1 nano and Grok 4.7 don't publish scores on any of the same benchmarks.