GPT-5 Nano

openai/gpt-5-nano-2025-08-07

OpenAI: GPT-5 Nano is a model from OpenAI that accepts text, image, and file inputs and generates text outputs. It has a context length of 400,000 tokens, supports tool use and reasoning capabilities, and is not open weights. It was released on January 1, 2025.

  • tool use
  • structured outputs
  • reasoning

At a glance

provideropenai
releasedJan 1, 2025
context400K
input / M$0.050

Specifications

What the API gives you

Context window
400K tokens
Max output
128K tokens
Input price
$0.050 / 1M tokens
Output price
$0.40 / 1M tokens
Cache read
$0.005 / 1M tokens
Modalities
text, image, file → text
Knowledge cutoff
May 31, 2024
Released
Jan 1, 2025

Measured evidence

Public benchmark record

BFCL
51.5%2026-10-21
Design Arena Coding
1084 Elo2026-10-21
Design Arena UI
1066 Elo2026-10-21
Design Arena Website
1101 Elo2026-10-21
FrontierMath Tiers 1-3 (Epoch AI)‡
6% ± 1.42026-08-27low effort, evaluated 2026-08-27
FrontierMath Tiers 1-3 (Epoch AI)‡
20% ± 2.42026-06-12high effort, evaluated 2026-06-12
GPQA Diamond (Epoch AI)‡
57.6% ± 3.52026-07-13low effort, evaluated 2026-07-13
GPQA Diamond (Epoch AI)‡
69.4% ± 2.82025-10-30high effort, evaluated 2025-10-30
GPQA Diamond (Epoch AI)‡
67.4% ± 2.72025-08-07medium effort, evaluated 2025-08-07
LMArena Creative Writing‡
1249 Elo2026-10-20high effort
LMArena Instruction Following‡
1306 Elo2026-10-20high effort
LMArena Long Query‡
1312 Elo2026-10-20high effort
LMArena Math‡
1317 Elo2026-10-20high effort
LMArena Text‡
1338 Elo2026-10-20high effort
LMArena Vision‡
1147 Elo2026-10-19high effort
LMArena Vision Diagrams‡
1156 Elo2026-10-19high effort
LMArena Vision OCR‡
1158 Elo2026-10-19high effort
OTIS Mock AIME (Epoch AI)‡
46.7% ± 7.52026-07-13low effort, evaluated 2026-07-13
OTIS Mock AIME (Epoch AI)‡
81.1% ± 4.62025-10-31high effort, evaluated 2025-10-31
OTIS Mock AIME (Epoch AI)‡
74.2% ± 5.22025-08-07medium effort, evaluated 2025-08-07
SimpleQA Verified (Epoch AI)‡
11.7% ± 12026-08-10high effort, evaluated 2026-08-10

LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference. ‡ Submitted scaffold plus model result. Compare the harness and effort settings, not only the model name.

Task evidence

How broad is the support?

Each status is exact to this model version and the selected task. Official release claims remain provisional.

  • Best LLM for Competition MathEstablished evidence

    56% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • 55% of intended weighted task evidence across 2 independent sources. 5 of 5 configured evaluation feeds currently have results.

  • Best LLM for Math & ReasoningEstablished evidence

    52% of intended weighted task evidence across 4 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • 50% of intended weighted task evidence across 2 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • 29% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • 29% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

Show all 39 tasks
  • Best LLM for Business WritingProvisional evidence

    67% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Marketing CopyProvisional evidence

    67% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Chat & RoleplayProvisional evidence

    67% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 4 of 4 configured evaluation feeds currently have results.

  • 67% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Creative WritingProvisional evidence

    56% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for WritingProvisional evidence

    56% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Frontend & UIProvisional evidence

    55% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Coding or LMArena WebDev. 6 of 6 configured evaluation feeds currently have results.

  • 50% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Reasoning or VLMEvalKit tasks. 2 of 3 configured evaluation feeds currently have results.

  • Best LLM for OCR & DocumentsProvisional evidence

    45% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or Structured-output eval. 3 of 5 configured evaluation feeds currently have results.

  • Best LLM for Charts & DiagramsProvisional evidence

    45% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or Structured-output eval. 3 of 5 configured evaluation feeds currently have results.

  • 40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or Structured-output eval. 4 of 6 configured evaluation feeds currently have results.

  • Best LLM for Hermes AgentProvisional evidence

    40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenHandsProvisional evidence

    40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for GooseProvisional evidence

    40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenClawProvisional evidence

    40% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Document ParsingProvisional evidence

    37% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or Structured-output eval. 3 of 5 configured evaluation feeds currently have results.

  • 27% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.

  • 25% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or LMArena Agent Steerability. 6 of 7 configured evaluation feeds currently have results.

  • Best Value LLMProvisional evidence

    25% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.

  • Best LLM for Massive ContextProvisional evidence

    20% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Document or LongBench v2. 2 of 3 configured evaluation feeds currently have results.

  • Best LLM for AI AgentsProvisional evidence

    18% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Agentic Coding or LMArena Agent. 9 of 9 configured evaluation feeds currently have results.

  • Best LLM for Fast SummariesProvisional evidence

    17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.

  • 17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 3 of 4 configured evaluation feeds currently have results.

  • 17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 3 of 4 configured evaluation feeds currently have results.

  • Best LLM for TranslationProvisional evidence

    17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Language. 3 of 4 configured evaluation feeds currently have results.

  • Best LLM for CodingProvisional evidence

    16% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 7 of 7 configured evaluation feeds currently have results.

  • Best LLM for Grounded RAGProvisional evidence

    14% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from CRAG or FACTS Grounding. 5 of 7 configured evaluation feeds currently have results.

  • 11% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from FACTS Grounding or LMArena Document. 5 of 6 configured evaluation feeds currently have results.

  • 11% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LMArena Agent or OSWorld Verified. 3 of 3 configured evaluation feeds currently have results.

  • 10% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from FACTS Grounding or LiveBench Instruction Following. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for SummarizationProvisional evidence

    10% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from FACTS Grounding or LiveBench Instruction Following. 5 of 6 configured evaluation feeds currently have results.

  • Best Cheap LLM for High VolumeProvisional evidence

    10% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.

  • Cheapest Capable LLMProvisional evidence

    10% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or Route reliability. 2 of 3 configured evaluation feeds currently have results.

Recommendation coverage

Where this model appears

Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.

Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.