GPT-5.6 Sol: Price, Context, Benchmarks, and Release Details
72.1
SI Score (method si-v2-absolute-shrinkage-1)
#7 of 115 ranked
100% confidence 100 percent, Full confidence — 6 of 7 expected sources in
Coverage 87% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) 63.8
Math (weight 15 percent) 89.3
Preference (weight 15 percent) 78.3
Reasoning (weight 30 percent) 82.1
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
- Jul 9, 2026models.devPublished source fact
Retrieved Oct 8, 2026 · MIT
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
56 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| arc agi v1 public eval | 97.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 97.3 | reasoning |
| arc agi v1 public eval | 84.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 84.5 | reasoning |
| arc agi v1 public eval | 99%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 99.0 | reasoning |
| arc agi v1 public eval | 93.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 93.9 | reasoning |
| arc agi v1 public eval | 98.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 98.8 | reasoning |
| arc agi v1 semi private | 97%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 97.0 | reasoning |
| arc agi v1 semi private | 74.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 74.5 | reasoning |
| arc agi v1 semi private | 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. [variant] openai-gpt-5-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 96.5 | reasoning |
| arc agi v1 semi private | 92.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 92.5 | reasoning |
| arc agi v1 semi private | 97.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 97.5 | reasoning |
| arc agi v2 public eval | 86.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 86.1 | reasoning |
| arc agi v2 public eval | 38.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 38.5 | reasoning |
| arc agi v2 public eval | 93.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 93.8 | reasoning |
| arc agi v2 public eval | 70.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 70.7 | reasoning |
| arc agi v2 public eval | 91.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 91.9 | reasoning |
| arc agi v2 semi private | 85.4%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 85.4 | reasoning |
| arc agi v2 semi private | 42.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 42.5 | reasoning |
| arc agi v2 semi private | 92.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 92.5 | reasoning |
| arc agi v2 semi private | 67.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 67.1 | reasoning |
| arc agi v2 semi private | 90%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 90.0 | reasoning |
| arc agi v3 semi private | 2.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-highPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 2.1 | reasoning |
| arc agi v3 semi private | 0.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-lowPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 0.3 | reasoning |
| arc agi v3 semi private | 7.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-maxPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 7.8 | reasoning |
| arc agi v3 semi private | 1.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-mediumPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 1.1 | reasoning |
| arc agi v3 semi private | 7.0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] openai-gpt-5-6-sol-xhighPublished Oct 6, 2026
Retrieved Oct 8, 2026 · factual citation Open source ↗ | 7.0 | reasoning |
| frontiermath tier 4 v2 | 82.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Jul 9, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 82.9 | math |
| frontiermath tier 4 v2 | 80.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] promaxPublished Jul 9, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 80.5 | math |
| frontiermath tiers 1 3 v2 | 89.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Jul 9, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 89.1 | math |
| frontiermath vv2 tier 1 3 | 89%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] Tier 1-3; v2Published Jul 9, 2026
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 89.0 | math |
| gpqa diamond | 89.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Aug 7, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 89.9 | reasoning |
| gpqa diamond | 93.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Jul 9, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 93.5 | reasoning |
| gpqa diamond | 82.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] nonePublished Aug 7, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 82.8 | reasoning |
| gpqa diamond | 94.6%Official model cards via models.devLab-reported; metric accuracy; transcribed by MIT models.dev catalog; not independently evaluated [variant] Published Jul 9, 2026
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 94.6 | reasoning |
| livebench coding code completion 2026_06_25 | 84.8%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 ↗ | 84.8 | 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 | 50%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 ↗ | 50.0 | 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 | 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 | math |
| livebench math math comp 2026_06_25 | 95.1%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 ↗ | 95.1 | math |
| livebench math olympiad 2026_06_25 | 91.7%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 ↗ | 91.7 | math |
| livebench math simplify 2026_06_25 | 70.5%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 ↗ | 70.5 | 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 | 90.2%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 ↗ | 90.2 | reasoning |
| livebench reasoning logic with navigation 2026_06_25 | 82%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 ↗ | 82.0 | reasoning |
| livebench reasoning spatial 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 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 | 1456.3 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 8, 2026 · CC-BY-4.0 Open source ↗ | 78.3 | preference |
| otis mock aime 2024 2025 | 95.6%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Aug 7, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 95.6 | math |
| otis mock aime 2024 2025 | 100%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] maxPublished Jul 9, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 100.0 | math |
| otis mock aime 2024 2025 | 68.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] nonePublished Aug 7, 2026
Retrieved Oct 8, 2026 · CC-BY Open source ↗ | 68.9 | math |
| swe bench pro | 64.6%Official model cards via models.devLab-reported; metric resolve rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] Published Jul 9, 2026
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 64.6 | coding |
| terminal bench v2 1 | 88.8%Official model cards via models.devLab-reported; metric success rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] 2.1Published Jul 9, 2026
Retrieved Oct 8, 2026 · factual citation; MIT transcription Open source ↗ | 88.8 | coding |
| terminal bench v4 0 | 37.3%Terminal-BenchTerminal-Bench 4.0; published harness submission, 95% CI retained at source [variant] Codex; maxPublished Sep 3, 2026
Retrieved Oct 8, 2026 · Apache-2.0; factual citation Open source ↗ | 37.3 | 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 (6)
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- Official model cards via models.dev · arrived Oct 8, 2026
- LiveBench · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
- Terminal-Bench · arrived Oct 8, 2026
pending Awaiting (1)
- Humanity’s Last Exam · carries 13% 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.