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OpenAIGPT-6.1 Sol

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GPT-6.1 Sol is OpenAI's model for complex coding, computer use, and professional work, with text and image inputs, text output, and a 1,050,000-token context window.

Token context
1,050K tokens
Inputs
Text, Image
Outputs
Text
Released
Sep 29, 2026

Benchmark Market Position

Intelligence, Cost, and Efficiency

All rankings →

Intelligence

Rank #5 of 57

  1. 100.0*Claude Opus 5.5
  2. 99.0Claude Fable 5.1
  3. 90.9*GPT-5.5 Pro
  4. 90.0Gemini 3.8 Flash
  5. 85.9GPT-6.1 Sol
  6. 84.6GPT-6 Astra
  7. 83.4*Qwen3.8 Max
  8. 83.3*DeepSeek V4.1 Flash
  9. 82.1Gemini 3.1 Pro
  10. 77.3GPT-5.6 Terra
  11. 74.0*Grok 4.7
  12. 73.5*ERNIE 5.1
  13. 73.3Kimi K3
  14. 71.9*GLM 5.3
  15. 67.5*Qwen3.8 Flash
  16. 64.3*Grok 4.20 Multi Agent
  17. 63.3*Qwen3.7 Plus
  18. 63.1*Claude Sonnet 5
  19. 57.9*DeepSeek V4 Pro
  20. 56.2*GLM 5.3 Flash
  21. 54.6*Mistral Large 4
  22. 54.3*Gemma 4 31B
  23. 52.2Qwen3.8 27B
  24. 50.5*Qwen3.5 397B A17B
  25. 50.1*Hy3
  26. 47.4*Gemma 4 26B A4B
  27. 47.4Inkling
  28. 43.0*Mistral Large 3
  29. 42.3GPT-6 Luna
  30. 37.8*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  31. 35.2*Inkling Small
  32. 33.9*MiniMax M3
  33. 27.0*Kimi K2.7 Code
  34. 25.1*Grok Build 0.1
  35. 20.8GPT-5.4 Mini
  36. 17.8Gemini 3.5 Flash Lite
  37. 17.2*Qwen3.5 35B A3B
  38. 15.7GPT-5.4 Nano
  39. 12.8*Muse Glimmer 30B
  40. 11.7*Solar Pro 4
  41. 9.3*Claude Haiku 4.5
  42. 0.4*DeepSeek R1
  43. 0.0*Olmo 3 32B Think
  44. 0.0*Nova 2 Lite
  45. 0.0*Command A
  46. 0.0*Granite 4.2 30B
  47. 0.0*Granite 4.2 3B
  48. 0.0*Granite 4.2 8B
  49. 0.0*Llama 4 Maverick 17B 128E Instruct
  50. 0.0*Llama 4 Scout 17B 16E Instruct
  51. 0.0*phi-4
  52. 0.0*NVIDIA Nemotron 3 Nano 30B A3B BF16
  53. 0.0*NVIDIA Nemotron 3.5 Lightning 30B A3B
  54. 0.0*GPT-4o
  55. 0.0*GPT-4o Mini
  56. 0.0*gpt-oss-120b
  57. 0.0*gpt-oss-20b
* Provisional: fewer than 3 sources
View full ranking →

Cost

Rank #15 of 27

  1. $0.0020Grok Build 0.1
  2. $0.0087GLM 5.3 Flash
  3. $0.017MiniMax M3
  4. $0.018GPT-6 Luna
  5. $0.021Qwen3.8 Flash
  6. $0.022DeepSeek V4.1 Flash
  7. $0.029Gemini 3.5 Flash Lite
  8. $0.044Kimi K2.7 Code
  9. $0.054Mistral Large 4
  10. $0.054DeepSeek V4 Pro
  11. $0.058GPT-5.4 Nano
  12. $0.063Qwen3.8 27B
  13. $0.090Inkling
  14. $0.092NVIDIA Nemotron 3 Ultra 550B A55B BF16
  15. $0.104GPT-6.1 Sol
  16. $0.107Qwen3.8 Max
  17. $0.160Gemini 3.8 Flash
  18. $0.161Gemini 3.1 Pro
  19. $0.163Kimi K3
  20. $0.194Claude Sonnet 5
  21. $0.214GPT-5.4 Mini
  22. $0.248GLM 5.3
  23. $0.266GPT-5.6 Terra
  24. $0.341Grok 4.7
  25. $0.512Claude Opus 5.5
  26. $0.520GPT-6 Astra
  27. $0.824Claude Fable 5.1
View full ranking →

Efficiency

Rank #5 of 27

  1. 71.7*DeepSeek V4.1 Flash
  2. 65.8*GLM 5.3 Flash
  3. 64.2*Qwen3.8 Flash
  4. 62.5*Grok Build 0.1
  5. 60.1GPT-6.1 Sol
  6. 58.6*Qwen3.8 Max
  7. 58.5Gemini 3.8 Flash
  8. 54.6Gemini 3.1 Pro
  9. 53.9*Claude Opus 5.5
  10. 52.8GPT-6 Luna
  11. 51.5*DeepSeek V4 Pro
  12. 50.1Kimi K3
  13. 49.9*Mistral Large 4
  14. 49.5Claude Fable 5.1
  15. 49.0*MiniMax M3
  16. 48.0GPT-5.6 Terra
  17. 47.3Qwen3.8 27B
  18. 46.1GPT-6 Astra
  19. 45.9*GLM 5.3
  20. 44.3*Grok 4.7
  21. 43.5*Claude Sonnet 5
  22. 42.0Inkling
  23. 37.8*Kimi K2.7 Code
  24. 37.1*NVIDIA Nemotron 3 Ultra 550B A55B BF16
  25. 36.6Gemini 3.5 Flash Lite
  26. 29.9GPT-5.4 Nano
  27. 21.6GPT-5.4 Mini
* Provisional: fewer than 3 sources
View full ranking →

The orange outline marks GPT-6.1 Sol. Each available panel preserves its real rank and value; missing benchmark or pricing inputs remain explicitly unranked.

Providers & Pricing

Estimate workload cost →
ProviderInput / 1MOutput / 1MCache read / 1MCache write / 1MObservedEvidence
$2.00$10.00$0.10$2.50Sep 29, 2026Official fact
$2.00$10.00$0.10—Oct 19, 2026Provider-reported

Benchmarks

All benchmark results →
ARC-AGI-1verified-v1-613c385b0c9398.50percent——GPT-6.1 Sol (XHigh)unknownOriginal sourcewinner eligibleThird-party benchmark
ARC-AGI-2verified-v2-be40992860f994.17percent——GPT-6.1 Sol (Max)unknownOriginal sourcewinner eligibleThird-party benchmark
LiveBench2026-06-25-90f8d44da96586.14percent10,3751,270gpt-6.1-sol-maxaverage per caseRecomputedwinner eligibleThird-party benchmark
LiveBench2026-06-25-90f8d44da96585.35percent6,5941,270gpt-6.1-sol-xhighaverage per caseRecomputedwinner eligibleThird-party benchmark
LMArena Search Arenasearch-2026-10-13-a64ca3b12b6e1,233.10rating—5,555gpt-6.1-sol-max; 95% CI [1224.24145466, 1241.96324521]; votes 5555; rank 8unknownOriginal sourcewinner eligibleThird-party benchmark
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e1,447.67rating—6,320gpt-6.1-sol-max; 95% CI [1439.59979847, 1455.74908604]; votes 6320; rank 57unknownOriginal sourcewinner eligibleThird-party benchmark
LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e1,288.19rating—1,813gpt-6.1-sol-max; 95% CI [1273.83724449, 1302.54208160]; votes 1813; rank 30unknownOriginal sourcewinner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb282.44points21,22150GPT-6.1 Sol (max)average per caseOriginal sourcenot winner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb282.39points17,25950GPT-6.1 Sol (xhigh)average per caseOriginal sourcenot winner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb281.41points2,55850GPT-6.1 Sol (low)average per caseOriginal sourcenot winner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb281.12points6,80350GPT-6.1 Sol (high)average per caseOriginal sourcenot winner eligibleThird-party benchmark
ToneBench2026-10-17-10-task-e9c76358afb281.00points2,72250GPT-6.1 Sol (medium)average per caseOriginal sourcenot winner eligibleThird-party benchmark

At a Glance

Model Facts

Identity

Status
active
Developer ID
gpt-6.1-sol
Released
Sep 29, 2026
Version
GPT-6.1 Sol
License
Unknown

Capacity

Token context
1,050K tokens
Maximum output
128K tokens
Total parameters
Unknown
Active parameters
Unknown
Knowledge cutoff
Apr 30, 2026

Interface and Access

Inputs
Text, Image
Outputs
Text
API available
Yes
Open weights
No
Self-hostable
No
Reasoning
Yes
Vision
Yes
Tool calling
Yes
Capabilities
chat, computer-use, generation, reasoning, tools

Technical Specifications

Maximum input tokens
922,000
Reasoning effort
low, medium, high, xhigh, max
Supported API routes
v1/responses, v1/chat/completions, v1/batch
Default snapshot
gpt-6.1-sol
Data residency
US, EU
Tool calling route
Responses API only
Multi-agent
Responses API beta
Supported tools
web_search, file_search, image_generation, code_interpreter, hosted_shell, apply_patch, skills, computer_use, mcp, tool_search
Regional processing premium
10% where available
Tier 1 rate limits
500 RPM; 500,000 TPM
Tier 2 rate limits
5,000 RPM; 1,000,000 TPM
Tier 3 rate limits
5,000 RPM; 2,000,000 TPM
Tier 4 rate limits
10,000 RPM; 4,000,000 TPM
Tier 5 rate limits
15,000 RPM; 40,000,000 TPM

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
Aliasesgpt-6.1-sol, GPT-6.1 Sol

Explicit Unknowns

  • Architecture
  • Tokenizer

Primary Evidence

Sources and Observation Date

GPT-6.1 Sol Model | OpenAI APIOpenAI · observed Sep 29, 2026GPT-6.1 Sol pricing | OpenAI APIOpenAI · observed Sep 29, 2026OpenAI API changelogOpenAI · observed Sep 22, 2026Openai catalogOpenai · observed Oct 19, 2026Openrouter catalogOpenrouter · observed Oct 19, 2026

Comparable Peers

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Questions

GPT-6.1 Sol FAQs

What is GPT-6.1 Sol?+

GPT-6.1 Sol is OpenAI's model for complex coding, computer use, and professional work, with text and image inputs, text output, and a 1,050,000-token context window. It is developed by OpenAI and its current sourced lifecycle status is active.

What inputs and outputs does GPT-6.1 Sol support?+

GPT-6.1 Sol's current record lists Text and Image as input and Text as output.

How much context does GPT-6.1 Sol support?+

The current record lists a 1,050K-token context window and a maximum output of 128K tokens.

What technical specifications are published for GPT-6.1 Sol?+

GPT-6.1 Sol's developer-published specifications include maximum input tokens: 922000; reasoning effort: low, medium, high, xhigh, and max; supported api routes: v1/responses, v1/chat/completions, and v1/batch; default snapshot: gpt-6.1-sol; data residency: US and EU; tool calling route: Responses API only; multi-agent: Responses API beta; supported tools: web_search, file_search, image_generation, code_interpreter, hosted_shell, apply_patch, skills, computer_use, mcp, and tool_search; regional processing premium: 10% where available; tier 1 rate limits: 500 RPM; 500,000 TPM; tier 2 rate limits: 5,000 RPM; 1,000,000 TPM; tier 3 rate limits: 5,000 RPM; 2,000,000 TPM; tier 4 rate limits: 10,000 RPM; 4,000,000 TPM; tier 5 rate limits: 15,000 RPM; 40,000,000 TPM.

Is GPT-6.1 Sol available through an API?+

GPT-6.1 Sol is marked as API-available. The directly sourced provider records currently include Openai and Openrouter.

What capabilities and tasks does GPT-6.1 Sol support?+

GPT-6.1 Sol's recorded capabilities are chat, computer-use, generation, reasoning, and tools. Its supported tasks are coding, computer-use, image, and text.

How much does GPT-6.1 Sol cost through an API?+

The lowest directly sourced prices currently attached to GPT-6.1 Sol are $2.00 per million input tokens through Openai and $10.00 per million output tokens through Openai. Prices are provider-specific and should be checked against each cited observation date.

Can GPT-6.1 Sol be self-hosted?+

GPT-6.1 Sol is not marked as an open-weight model. Self-hosting is marked as unsupported, with no license recorded.

Does GPT-6.1 Sol have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are gpt-6.1-sol and GPT-6.1 Sol.

Which models can GPT-6.1 Sol be compared with?+

The current compatible peer set includes GPT-6 Sol, GPT-6 Astra, Gemini 3.1 Pro, DeepSeek V4.1 Flash, and Kimi K3. Compatibility requires shared sourced modalities and tasks; it does not imply that one model is better. Browse model comparisons →

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