OpenAI · proprietary

GPT-4.1 nano

GPT-4.1 nano by OpenAI appears in 1 source with Reasoning at 0.73. Best read for LLM, Long context, Low cost.

CreatorOpenAI

Release date2025-04-14

Knowledge cutoffNot published

Context1M tokens

Input price$0.1/M tokens

Output price$0.4/M tokens

Modalitytext + vision

CountryUS

Metrics

All source-backed metrics

Open in leaderboard

LLM Stats Rank93ranking · source_rank

Reasoning0.73reasoning · index_reasoning

Math5.39math · index_math

Coding-18.96coding · index_code

Writing-19.72writing · index_communication

Vision1.38multimodal · index_vision

Tool calling-20.7tool_calling · index_tool_calling

Long context2.13long_context · index_long_context

Finance5.19domain · index_finance

Legal5.27domain · index_legal

Healthcare6.11domain · index_healthcare

GPQA50.3 %reasoning · gpqa_score

Code Arena550.18 %coding · coding_arena_score

MMMLU66.9 %reasoning · mmmlu_score

MMMU55.4 %multimodal · mmmu_score

TAU2 Retail22.6 %agent · tau_bench_retail_score

CharXiv-R40.5 %multimodal · charxiv_r_score

Context1,047,576 tokenscontext · context

Speed416.47 c/sperformance · throughput

Latency730.62 msperformance · latency

Input price0.1 $/Mpricing · input_price

Output price0.4 $/Mpricing · output_price

Evidence

Citations and source overlap

LLM StatsPublic full LLM leaderboard advanced explorer snapshot, including ranking, benchmark indexes, pricing, speed, context, license, and model metadata.Retrieved 2026-06-01

FAQ

How should I read this profile?

Treat this as a source-backed model dossier, not an EvalKit-run verification. The public values are replicated from linked sources and kept source-scoped.

Is GPT-4.1 nano verified by EvalKit?

No. EvalKit currently shows 0 verified rows until real run evidence exists.

Why can metrics disagree?

Different sources test different tasks, dates, prompts, and aggregation methods. EvalKit keeps those differences visible instead of merging them into a fake universal score.