GPT-6.1 Sol

New

openai/gpt-6.1-sol-20260929

OpenAI's GPT-6.1 Sol model accepts file, image, and text inputs and generates text outputs. It has a context length of 1,050,000 tokens, supports tools and reasoning, and is a closed-weights model released on September 29, 2026.

  • tool use
  • structured outputs
  • reasoning

At a glance

provideropenai
releasedSep 29, 2026
context1.1M
input / M$2

Specifications

What the API gives you

Context window
1.1M tokens
Max output
128K tokens
Input price
$2 / 1M tokens
Output price
$10 / 1M tokens
Cache read
$0.100 / 1M tokens
Modalities
file, image, text → text
Knowledge cutoff
—
Released
Sep 29, 2026

Measured evidence

Public benchmark record

Design Arena Coding
1346 Elo2026-10-16
Design Arena UI
1331 Elo2026-10-16
Design Arena Website
1323 Elo2026-10-16
FACTS Grounding
82.4%2026-10-13evaluated 2026-10-13
FrontierMath Tiers 1-3 (Epoch AI)‡
93.7% ± 1.42026-09-29max effort, evaluated 2026-09-29
GPQA Diamond (Epoch AI)‡
95.4% ± 1.42026-09-29max effort, evaluated 2026-09-29
LiveBench Coding
80.4%2026-10-16
LiveBench Language
90.1%2026-10-16
LiveBench Math
96.8%2026-10-16
LiveBench Reasoning
92.6%2026-10-16
LMArena Agent‡
14.82026-10-14max effort
LMArena Agent Bash Recovery‡
4.52026-10-08max effort
LMArena Agent Steerability‡
14.72026-10-14max effort
LMArena Agent Task Outcome‡
15.72026-10-14max effort
LMArena Agent Tool Hallucination‡
0.62026-10-14max effort
LMArena Creative Writing
1430 Elo2026-10-15
LMArena Long Query
1464 Elo2026-10-15
LMArena Math
1470 Elo2026-10-15
LMArena Search Factuality
1236 Elo2026-10-13
LMArena Text
1484 Elo2026-10-15
LMArena Text Factuality
1465 Elo2026-10-15
LMArena Vision
1294 Elo2026-10-09
LMArena Vision Diagrams
1311 Elo2026-10-09
LMArena Vision OCR
1295 Elo2026-10-09
LMArena WebDev
1760 Elo2026-10-13
LMArena WebDev Image-to-Web
1703 Elo2026-10-09
OTIS Mock AIME (Epoch AI)‡
100% ± 02026-09-29max effort, evaluated 2026-09-29
SimpleQA Verified (Epoch AI)‡
73.9% ± 1.42026-09-29max effort, evaluated 2026-09-29
Terminal-Bench (4.0)‡
58.2%2026-10-16Codex, max effort, evaluated 2026-10-06

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 Competition MathEstablished evidence

    100% of intended weighted task evidence across 4 independent sources. 6 of 6 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.

  • 100% of intended weighted task evidence across 3 independent sources. 5 of 5 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.

Show all 45 tasks
  • 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.

  • 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.

  • Best LLM for Math & ReasoningEstablished evidence

    100% of intended weighted task evidence across 5 independent sources. 7 of 7 configured evaluation feeds currently have results.

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

  • Best LLM for Grounded RAGEstablished evidence

    81% of intended weighted task evidence across 3 independent sources. 5 of 7 configured evaluation feeds currently have results.

  • Best LLM for Code CompletionEstablished evidence

    79% of intended weighted task evidence across 2 independent sources. 3 of 3 configured evaluation feeds currently have results.

  • Best LLM for Autonomous AgentsEstablished evidence

    67% of intended weighted task evidence across 3 independent sources. 6 of 6 configured evaluation feeds currently have results.

  • 65% of intended weighted task evidence across 3 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for SummarizationEstablished evidence

    65% of intended weighted task evidence across 3 independent sources. 5 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.

  • Best LLM for Agentic CodingEstablished evidence

    60% of intended weighted task evidence across 3 independent sources. 7 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 2 independent sources. 5 of 6 configured evaluation feeds currently have results.

  • Best LLM for AI AgentsEstablished evidence

    50% of intended weighted task evidence across 3 independent sources. 9 of 9 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 Hermes AgentEstablished evidence

    48% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenHandsEstablished evidence

    48% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for GooseEstablished evidence

    48% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best LLM for OpenClawEstablished evidence

    48% of intended weighted task evidence across 2 independent sources. 4 of 4 configured evaluation feeds currently have results.

  • Best Local LLM for CodingEstablished evidence

    47% of intended weighted task evidence across 2 independent sources. 4 of 4 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.

  • 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.

  • 33% of intended weighted task evidence across 2 independent sources. 5 of 5 configured evaluation feeds currently have results.

  • 46% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Berkeley Function Calling or Structured-output eval. 6 of 7 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. Official release evidence is also tracked provisionally.

  • 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. Official release evidence is also tracked provisionally.

  • 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. Official release evidence is also tracked provisionally.

  • 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.

  • 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.

  • 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. Official release evidence is also tracked provisionally.

Official release evidence · provisional

What the launch material actually says

Verbatim claims from the model provider. These help on launch day but do not count as independent confirmation.

  • “On DeepSWE v1.1 , which evaluates complex software-engineering tasks in real codebases, GPT-6.1 Sol matches GPT-6 Astra at roughly one-fifth of the cost, while eclipsing GPT-6 Sol's best score by 6.4 percentage points at a lower reasonin…”
    OpenAI · Introducing GPT-6.1 Sol | OpenAI
  • “On GDP.pdf , which measures how accurately models answer professional questions using complex PDF documents, including tables, charts, diagrams, and fine-print details, GPT-6.1 Sol scores higher than Opus 5.5 with fallbacks at less than …”
    OpenAI · Introducing GPT-6.1 Sol | OpenAI
  • “On AutomationBench , which measures whether agents correctly complete multi-step business workflows, GPT-6.1 Sol scores 2.2 percentage points above Opus 5.5 at medium reasoning effort, at roughly a third of the cost.”
    OpenAI · Introducing GPT-6.1 Sol | OpenAI
  • “On OSWorld 2.0 's offline set, which evaluates agents on demanding computer-use workflows, GPT-6.1 Sol outperforms GPT-6 Sol by seven percentage points at maximum reasoning effort at less than half the cost.”
    OpenAI · Introducing GPT-6.1 Sol | OpenAI

Recommendation coverage

Where this model appears

  1. #1Best LLM for Image Understanding
  2. #2Best LLM for OpenClaw
  3. #2Best LLM for Translation
  4. #2Best LLM for Everyday Translation
  5. #2Best LLM for Hermes Agent
  6. #2Best LLM for RAG & Long Context
  7. #2Best LLM for Structured Data Extraction
  8. #2Best LLM for JSON & Schema Output
  9. #2Best LLM for Literary Translation
  10. #2Best LLM for Goose
  11. #2Best LLM for OpenHands
  12. #2Best LLM for Computer & Browser Use
  13. #3Best LLM for Grounded RAG
  14. #3Best LLM for Tool & Function Calling
  15. #4Best LLM for AI Agents
  16. #4Best LLM for Autonomous Agents
  17. #4Best LLM for Math & Reasoning
  18. #4Best LLM for Competition Math
  19. #5Best LLM for Document Summarization
  20. #5Best LLM for Debugging & Code Review
  21. #5Best LLM for Frontend & UI
  22. #5Best LLM for Logic & Problem Solving
  23. #5Best LLM for Summarization
  24. #6Best LLM for Vision & Documents
  25. #6Best LLM for Charts & Diagrams
  26. #6Best LLM for Document Parsing
  27. #6Best LLM for OCR & Documents
  28. #6Best LLM for Coding
  29. #6Best LLM for Agentic Coding
  30. #8Best LLM for Code Completion
  31. #8Best LLM for a General Assistant

Compare head to head

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