← All models

OpenAI · proprietary

GPT-5.4 nano

GPT-5.4 nano by OpenAI appears in 1 source with Reasoning at 39.89. Best read for LLM, Low cost, Multimodal.

CreatorOpenAI
Release date2026-03-17
Knowledge cutoffNot published
Context400K tokens
Input price$0.2/M tokens
Output price$1.25/M tokens
Modalitytext + vision
CountryUS

Metrics

All source-backed metrics

Open in leaderboard
LLM Stats Rank67ranking · source_rank
Reasoning39.89reasoning · index_reasoning
Math32.87math · index_math
Coding23.04coding · index_code
Writing20.84writing · index_communication
Vision22.72multimodal · index_vision
Tool calling15.66tool_calling · index_tool_calling
Long context19.06long_context · index_long_context
Healthcare45.52domain · index_healthcare
GPQA82.8 %reasoning · gpqa_score
Code Arena788.23 %coding · coding_arena_score
Humanity Last Exam24.3 %reasoning · hle_score
MMMU-Pro66.1 %multimodal · mmmu_pro_score
Toolathlon35.5 %tool_calling · toolathlon_score
MCP Atlas56.1 %tool_calling · mcp_atlas_score
MRCR v233.1 %long_context · mrcr_v2_score
SWE-bench Pro52.4 %coding · swe_bench_pro_score
Context400,000 tokenscontext · context
Speed365.38 c/sperformance · throughput
Latency688 msperformance · latency
Input price0.2 $/Mpricing · input_price
Output price1.25 $/Mpricing · output_price

Evidence

Citations and source overlap

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-5.4 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.