GPT-6 Sol: Price, Context, Benchmarks, and Release Details
68.9
SI Score (method si-v2-absolute-shrinkage-1)
#15 of 115 ranked
100% confidence 100 percent, Full confidence — 5 of 7 expected sources in
Coverage 83% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) 61.9
Math (weight 15 percent) 91.3
Preference (weight 15 percent) 72.7
Reasoning (weight 30 percent) 78.1
Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.
Facts
- Input price / 1M
- not yet reported
- Output price / 1M
- not yet reported
- Context window
- 1.1Mmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Max output
- 128Kmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - Released
- Sep 22, 2026OpenAI API changelogPublished source fact
Retrieved Oct 8, 2026 · factual citation
Open source ↗ - Open weights
- Nomodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- text, image, pdfmodels.devPublished source fact
Retrieved Oct 8, 2026 · MIT
Open source ↗
Benchmark results
47 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| arc agi v1 public eval | 91.4%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 91.4 | reasoning |
| arc agi v1 public eval | 79.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 79.3 | reasoning |
| arc agi v1 public eval | 97.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. [variant] openai-gpt-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 97.8 | reasoning |
| arc agi v1 public eval | 88.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 88.9 | reasoning |
| arc agi v1 public eval | 96.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 96.5 | reasoning |
| arc agi v1 semi private | 91%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 91.0 | reasoning |
| arc agi v1 semi private | 72.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 72.2 | reasoning |
| arc agi v1 semi private | 95.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. [variant] openai-gpt-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 95.5 | reasoning |
| arc agi v1 semi private | 83.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 83.7 | reasoning |
| arc agi v1 semi private | 92.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 92.7 | reasoning |
| arc agi v2 public eval | 63.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 63.6 | reasoning |
| arc agi v2 public eval | 25.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 25.6 | reasoning |
| arc agi v2 public eval | 90%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. [variant] openai-gpt-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 90.0 | reasoning |
| arc agi v2 public eval | 49.4%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 49.4 | reasoning |
| arc agi v2 public eval | 81.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 81.8 | reasoning |
| arc agi v2 semi private | 68.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 68.9 | reasoning |
| arc agi v2 semi private | 31.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 31.5 | reasoning |
| arc agi v2 semi private | 89.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. [variant] openai-gpt-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 89.6 | reasoning |
| arc agi v2 semi private | 57.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 57.8 | reasoning |
| arc agi v2 semi private | 78.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 78.1 | reasoning |
| arc agi v3 semi private | 0.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'high' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.9 | reasoning |
| arc agi v3 semi private | 0.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'low' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.1 | reasoning |
| arc agi v3 semi private | 4.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'max' reasoning effort using the standard harness. [variant] openai-gpt-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 4.6 | reasoning |
| arc agi v3 semi private | 0.4%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'medium' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.4 | reasoning |
| arc agi v3 semi private | 1.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. Evaluation conducted with 'xhigh' reasoning effort using the standard harness. Partial dataset coverage: scores use full catalog denominators; costs include recorded usage only, excluding unrecorded attempts. [variant] openai-gpt-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 1.8 | reasoning |
| frontiermath tier 4 v2 | 90%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 22, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 90.0 | math |
| frontiermath tiers 1 3 v2 | 89.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 22, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 89.8 | math |
| gpqa diamond | 94.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 22, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 94.3 | reasoning |
| livebench coding code completion 2026_06_25 | 80.4%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 80.4 | coding |
| livebench coding code generation 2026_06_25 | 83.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 83.1 | coding |
| livebench coding javascript 2026_06_25 | 63.6%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 63.6 | coding |
| livebench coding python 2026_06_25 | 55%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 55.0 | coding |
| livebench coding typescript 2026_06_25 | 40%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 40.0 | coding |
| livebench math amps hard 2026_06_25 | 98%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 98.0 | math |
| livebench math integrals with game 2026_06_25 | 99%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 99.0 | math |
| livebench math math comp 2026_06_25 | 97.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 97.1 | math |
| livebench math olympiad 2026_06_25 | 91.4%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 91.4 | math |
| livebench math simplify 2026_06_25 | 69.3%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 69.3 | math |
| livebench reasoning connections 2026_06_25 | 100%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 100.0 | reasoning |
| livebench reasoning consecutive events 2026_06_25 | 89.5%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 89.5 | reasoning |
| livebench reasoning logic with navigation 2026_06_25 | 74%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 74.0 | reasoning |
| livebench reasoning spatial 2026_06_25 | 96%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 96.0 | reasoning |
| livebench reasoning theory of mind 2026_06_25 | 84.6%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 84.6 | reasoning |
| livebench reasoning zebra puzzle 2026_06_25 | 100%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026
Retrieved Oct 8, 2026 · factual citation; Apache-2.0 code Open source ↗ | 100.0 | reasoning |
| lmarena text | 1395.4 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 8, 2026 · CC-BY-4.0 Open source ↗ | 72.7 | preference |
| otis mock aime 2024 2025 | 100%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Sep 22, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 100.0 | math |
| terminal bench v4 0 | 49.4%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Codex; maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · Apache-2.0; factual citation Open source ↗ | 49.4 | coding |
Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.
Sources: in and pending
in Reported (5)
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- LiveBench · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
- Terminal-Bench · arrived Oct 8, 2026
pending Awaiting (2)
- Humanity’s Last Exam · carries 13% of expected weight
- Official model cards via models.dev · carries 4% of expected weight
The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.