GPT-5.4

openai/gpt-5.4-20260305

This model accepts text, image, and file inputs and generates text outputs. It has a context length of 1,050,000 tokens and supports tools and reasoning. Pricing is $2.5 per million input tokens and $15 per million output tokens.

  • tool use
  • structured outputs
  • reasoning

At a glance

provideropenai
releasedFeb 26, 2026
context1.1M
input / M$2.50

Specifications

What the API gives you

Context window
1.1M tokens
Max output
128K tokens
Input price
$2.50 / 1M tokens
Output price
$15 / 1M tokens
Cache read
$0.25 / 1M tokens
Modalities
text, image, file → text
Knowledge cutoff
—
Released
Feb 26, 2026

Measured evidence

Public benchmark record

Aider Polyglot
44.9%2026-10-21
Design Arena Coding
1178 Elo2026-10-21
Design Arena UI
1199 Elo2026-10-21
Design Arena Web-app Agent
1058 Elo2026-10-21
Design Arena Website
1198 Elo2026-10-21
FACTS Grounding
70.3%2026-10-21
LiveBench Coding
77.5%2026-10-18
LiveBench Language
82.6%2026-10-18
LiveBench Math
94.2%2026-10-18
LiveBench Reasoning
88.1%2026-10-18
LMArena Agent‡
1.42026-10-20high effort
LMArena Agent Bash Recovery‡
1.22026-10-08high effort
LMArena Agent Steerability‡
72026-10-20high effort
LMArena Agent Task Outcome‡
-4.92026-10-20high effort
LMArena Agent Tool Hallucination‡
0.32026-10-20high effort
LMArena Creative Writing‡
1439 Elo2026-10-20high effort
LMArena Instruction Following‡
1469 Elo2026-10-20high effort
LMArena Long Query‡
1473 Elo2026-10-20high effort
LMArena Math‡
1488 Elo2026-10-20high effort
LMArena Text‡
1475 Elo2026-10-20high effort
LMArena Text Factuality‡
1484 Elo2026-10-20high effort
LMArena Vision‡
1284 Elo2026-10-19high effort
LMArena Vision Diagrams‡
1321 Elo2026-10-19high effort
LMArena Vision OCR‡
1299 Elo2026-10-19high effort
LMArena WebDev
1401 Elo2026-10-19
LMArena WebDev Image-to-Web
1436 Elo2026-10-19
tau2-bench (1.0.1)‡
39.4%2026-05-06xhigh effort, evaluated 2026-05-06

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 Code CompletionEstablished evidence

    100% of intended weighted task evidence across 3 independent sources. 3 of 3 configured evaluation feeds currently have results.

  • Best LLM for Business WritingEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Marketing CopyEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Chat & RoleplayEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Creative WritingEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for Frontend & UIEstablished evidence

    100% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.

Show all 45 tasks
  • Best LLM for WritingEstablished evidence

    100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • 100% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • 91% of intended weighted task evidence across 2 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • 85% of intended weighted task evidence across 3 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for SummarizationEstablished evidence

    85% of intended weighted task evidence across 3 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best Local LLM for CodingEstablished evidence

    85% of intended weighted task evidence across 3 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • 82% of intended weighted task evidence across 2 independent sources. 5 of 5 configured evaluation feeds currently have results.

  • Best LLM for Math & ReasoningEstablished evidence

    76% of intended weighted task evidence across 2 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • Best LLM for Competition MathEstablished evidence

    70% of intended weighted task evidence across 2 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • Best LLM for CodingEstablished evidence

    64% of intended weighted task evidence across 4 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • 64% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • 61% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • 61% of intended weighted task evidence across 2 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • 58% of intended weighted task evidence across 2 independent sources. 6 of 7 configured evaluation feeds currently have results.

  • Best LLM for Fast SummariesEstablished evidence

    58% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • Best Value LLMEstablished evidence

    58% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • 56% of intended weighted task evidence across 3 independent sources. 5 of 5 configured evaluation feeds currently have results.

  • Best LLM for Agentic CodingEstablished evidence

    55% of intended weighted task evidence across 3 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • 50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • 50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • Best LLM for TranslationEstablished evidence

    50% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • Best LLM for Grounded RAGEstablished evidence

    48% of intended weighted task evidence across 2 independent sources. 5 of 7 configured evaluation feeds currently have results.

  • Best LLM for AI AgentsEstablished evidence

    43% of intended weighted task evidence across 3 independent sources. 9 of 9 configured evaluation feeds currently have results.

  • Best Cheap LLM for High VolumeEstablished evidence

    40% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • Cheapest Capable LLMEstablished evidence

    40% of intended weighted task evidence across 2 independent sources. 2 of 3 configured evaluation feeds currently have results.

  • Best LLM for Autonomous AgentsEstablished evidence

    36% of intended weighted task evidence across 2 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • 35% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • 35% of intended weighted task evidence across 2 independent sources. 3 of 4 configured evaluation feeds currently have results.

  • Best LLM for OCR & DocumentsProvisional evidence

    65% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 3 of 5 configured evaluation feeds currently have results.

  • Best LLM for Charts & DiagramsProvisional evidence

    65% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 3 of 5 configured evaluation feeds currently have results.

  • 60% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 4 of 6 configured evaluation feeds currently have results.

  • Best LLM for Document ParsingProvisional evidence

    58% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Structured-output eval or VLMEvalKit tasks. 3 of 5 configured evaluation feeds currently have results.

  • Best LLM for Massive ContextProvisional evidence

    47% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LongBench v2. 2 of 3 configured evaluation feeds currently have results.

  • Best LLM for Hermes AgentProvisional evidence

    29% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenHandsProvisional evidence

    29% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for GooseProvisional evidence

    29% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenClawProvisional evidence

    29% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or SWE-rebench. 4 of 4 configured evaluation feeds currently have results.

  • 21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Route reliability or Structured-output eval. 1 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 Berkeley Function Calling or OSWorld Verified. 3 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.