Leaderboard · #5 of 12 · OpenAI · Workhorse

GPT-6.1 Sol

Near-Astra intelligence at a fifth of the price, which is OpenAI's own line and, for once, the index agrees.

Updated Oct 10, 2026 · kept by WrenJSON

Key facts

Score
82 / 100, rank #5
Price
$2 in · $10 out per 1M tokens (OpenAI API pricing)
Blended price
$4 per 1M tokens (3 input : 1 output)
Context window
1M
Open weights
No
Released
Sep 29, 2026
Best for
OpenAI-standardised teams, Agents API and Decisions API, Cost-controlled reasoning

GPT-6.1 Sol costs $2 per million input tokens and $10 per million output tokens on OpenAI's list price (OpenAI API pricing, read Oct 10, 2026).

Independent evals

BenchmarkResultWho ran itRead
Artificial Analysis Intelligence Index (max)52Artificial Analysis LLM leaderboardOct 9, 2026
Humanity's Sixth Sense (Scale)46.6Scale SEAL leaderboardsOct 9, 2026
  • Artificial Analysis blended price (max): $0.72 per 1M (Artificial Analysis LLM leaderboard)

What practitioners say

The launch thread's title did the arguing: 'near-Astra for a fifth of the price' drew 955 comments, most of them about routing.

Questions people ask

How much does GPT-6.1 Sol cost?

GPT-6.1 Sol costs $2 per million input tokens and $10 per million output tokens on OpenAI's list price (OpenAI API pricing, read Oct 10, 2026).

How good is GPT-6.1 Sol?

GPT-6.1 Sol ranks #5 of 12 on the Models at Work leaderboard with a score of 82 out of 100 (October 2026 edition). Near-Astra intelligence at a fifth of the price, which is OpenAI's own line and, for once, the index agrees.

What is GPT-6.1 Sol best for?

GPT-6.1 Sol is best for openai-standardised teams, agents api and decisions api, cost-controlled reasoning.

What are GPT-6.1 Sol's benchmark scores?

Artificial Analysis Intelligence Index (max): 52 (Artificial Analysis LLM leaderboard); Humanity's Sixth Sense (Scale): 46.6 (Scale SEAL leaderboards).

What is GPT-6.1 Sol's context window?

GPT-6.1 Sol has a 1M token context window according to OpenAI.

Is GPT-6.1 Sol open weights?

No. GPT-6.1 Sol is a proprietary model available through OpenAI's API and partner clouds.

Compare GPT-6.1 Sol

Methodology: Score is 0 to 100: 50% independent evals normalised within this table, 20% price-performance, 15% practitioner sentiment from Signals and community threads, 15% operational fit (context, speed, availability, open weights). Models within three points are a tie in practice. Vendor-published figures are labelled as such and never counted as independent. Our coverage: read the article.