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GPT Chat Latest

openai/gpt-chat-latest
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Provider logo

GPT Chat Latest

openai/gpt-chat-latest
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Compatibility chat alias that routes to GPT 5.6 Sol, the flagship GPT-5.6 tier for complex reasoning, coding, and agentic workflows.

Added May 3, 2026

Context Window

1.1M

Max Output

128.0K

Avg output tokens (7d)

717 tokens

59%

Input Price (Auto)

$2.00/1M

Output Price (Auto)

$10.00/1M

Cache Read (Auto)

$0.20/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

47.0

Better than 96% of models compared

Coding Index

77.4

Better than 98% of models compared

Agentic Index

50.2

Better than 91% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

60.1%

Better than 86% of models compared

Harvey LAB-AA

Legal agentic work criterion pass rate

87.2%

Better than 47% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1487 Elo

Better than 84% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1588 Elo

Better than 90% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

27.2%

Better than 93% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

84.0%

Better than 98% of models compared

MLCR-AA

Medical long-context reasoning

26.1%

Better than 78% of models compared

Reasoning

HLE

Humanity's Last Exam

49.5%

Better than 96% of models compared

IFBench

Instruction-following benchmark

72.7%

Better than 90% of models compared

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

39.9%

Better than 86% of models compared

SciCode

Python programming for scientific computing

57.1%

Better than 86% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

94.1%

Better than 99% of models compared

Terminal-Bench Hard (legacy)

Agentic coding and terminal use

65.9%

Better than 99% of models compared

T²-Bench Telecom (legacy)

Conversational AI agents in dual-control scenarios

85.1%

Better than 77% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

84.0%

Better than 98% of models compared

Last updated Oct 1, 2026

Artificial Analysis

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