GPT-6.1 Sol
OpenAI's mid-priced flagship, described by OpenAI as near-Astra performance at a lower cost. It scores close to GPT-6 Astra on most tests while costing less than a quarter as much per Artificial Analysis task.
OpenAILanguage modelReleased September 2026Data checked October 18, 2026
Where people rank it
#1
Reading images and documents (tied), 1,813 votes
#2
Coding and building apps (tied), 2,863 votes
#5
Web search and research (tied), 5,555 votes
From blind votes on LMArena, where people pick the better of two anonymous answers. See the full tables on the AI leaderboard.
On paper
Fixed-test rankings from the benchmarks tab: Value #4, Reasoning #6, Speed #17.
Strengths and weaknesses
- Artificial Analysis Intelligence Index of 51.8 at $0.72 per task, the cheapest of the models here that score above 50
- 94.2% on ARC-AGI-2 and a top-four score on the LMArena Code Arena
- In the tied top group of the LMArena Vision leaderboard
- Slow output on Artificial Analysis (66 tokens per second)
- Mid-table on the LMArena text and creative writing leaderboards
Best for
- Coding with OpenAI Codex
- A strong all-rounder at a mid price
- Reading charts, screenshots and documents
Every score we have
Each bar compares this model with the best result any model on this page has on the same test.
- LMArena text arena (human votes)1,483.8Arena score 1483.8 (95% CI 1475.7 to 1492.0); 6,320 votes; entry "gpt-6.1-sol-max"; position 22 of 416 on the full board
- LMArena creative writing1,458.4Arena score 1458.4 (95% CI 1441.5 to 1475.4); 1,419 votes; entry "gpt-6.1-sol-max"; position 30 of 414 on the full board
- LMArena WebDev (coding)1,755.5Arena score 1755.5 (95% CI 1742.0 to 1768.9); 2,863 votes; entry "GPT-6.1 Sol (Max)"; position 4 of 144 on the full board
- LMArena vision1,294.1Arena score 1294.1 (95% CI 1279.6 to 1308.5); 1,813 votes; entry "gpt-6.1-sol-max"; position 8 of 165 on the full board
- LMArena Agent Arena0.136IPS score 0.1360 (95% CI 0.1170 to 0.1551); 13,444 sessions; entry "GPT-6.1 Sol (Max)"; position 4 of 52 on the full board
- Artificial Analysis Intelligence Index51.851.8 on the Artificial Analysis Intelligence Index v4.3.2 (AA shows 52), setting "GPT-6.1 Sol (max)"
- Humanity's Last Exam (Artificial Analysis)52.9%52.9% on Humanity's Last Exam (AA, 2,158 text-only questions), setting "GPT-6.1 Sol (max)"
- Terminal-Bench 4.0 (Artificial Analysis run)56.1%56.1% on Terminal-Bench 4.0 as run by AA (mini-swe-agent harness), setting "GPT-6.1 Sol (max)"
- Long-context reasoning (AA-LCR)83.0%83.0% on AA-LCR (long-context reasoning), setting "GPT-6.1 Sol (max)"
- MMMU-Pro, image understanding86.0%86.0% on MMMU-Pro (image understanding, AA), setting "GPT-6.1 Sol (max)"
- AA-Omniscience, accuracy minus hallucination41.541.5 on the AA-Omniscience Index (knowledge accuracy minus hallucination, range -100 to 100), setting "GPT-6.1 Sol (max)"
- Output speed, tokens per second66 t/s66 output tokens per second (AA median), row "GPT-6.1 Sol (max)"
- Cost per Artificial Analysis test task$0.72$0.72 to run one AA Intelligence Index task, row "GPT-6.1 Sol (max)"
- Artificial Analysis Coding Agent Index62.962.9 on the AA Coding Agent Index v1.5 (DeepSWE v1.1, Terminal-Bench 4.0, SWE-Atlas-QnA), best listed setup "Codex - GPT-6.1 Sol (xhigh)"
- Terminal-Bench 4.0 leaderboard58.2%58.2% resolved on Terminal-Bench 4.0 (plus or minus 3.1, 95% CI) with Codex at max effort
- ARC-AGI-2 puzzles94.2%94.17% on ARC-AGI-2 (semi-private set), best listed setting "GPT-6.1 Sol (Max)", $0.25 per task
- ARC-AGI-3 puzzles52.7%52.73% on ARC-AGI-3 (semi-private, standard harness; "provider adapter" runs excluded), best listed setting "GPT-6.1 Sol (Max)"
Compare with
- Qwen3.8 MaxAlibaba's flagship Qwen model, served through Alibaba Cloud Model Studio with a 1M-token context window and a September 2 (0902) snapshot.
- Claude Opus 5.5Anthropic's flagship for long-running agentic coding and knowledge work, and the model Anthropic suggests starting with for most jobs.
- Claude Fable 5.1Anthropic's top tier for the hardest reasoning and long-horizon agent work, which Anthropic recommends when Opus 5.5 still falls short.
- GPT-6 AstraOpenAI's most capable model, aimed at complex reasoning, coding, research and document creation.