GPT-6 Sol
| Released | 2026-09-22 |
|---|---|
| Price per 1M | $2.00 in · $10.00 out |
| Overall score | 62.4 · rank 15 |
| Context window | 1,050,000 tokens |
| Provider | OpenAI |
| Weights | Proprietary |
Scores
| Dimension | Score | Rank | Benchmarks |
|---|---|---|---|
| Overall: Balanced | 62.4 | 15 | 37 |
| Overall: Coding | 62.2 | 14 | 27 |
| Overall: Reasoning | 63.7 | 13 | 17 |
| Overall: Agentic work | 62.4 | 14 | 25 |
| Overall: Frontend | 61.3 | 14 | 9 |
| Coding | 62.0 | 15 | 6 |
| Agents | 62.1 | 14 | 8 |
| Reasoning | 64.7 | 13 | 11 |
| Math | 65.0 | 10 | 4 |
| Knowledge | 59.4 | 30 | 2 |
| Frontend | 61.8 | 12 | 2 |
| General | 64.3 | 11 | 3 |
| Multimodal | 56.6 | 38 | 1 |
| Value vs price | +10.5 | 27 |
Buzz
| Posts on X | About 22 a day |
|---|---|
| Mood | 10% positive, 10% negative |
| Hacker News | 3 mentions this week |
| Checked | 2026-11-11 |
- @GoogleDeepMind Carbon ties for #4 on Incident-Arena with a 45.7% pass rate. Carbon levels with GPT-5.6 Terra and ahead of Claude Fable 5.1, GPT-6 Sol, and Gemini 4 Argon, but behind GPT-6 Astra, Claude Opus 5.5, and GPT-6.1 Sol. https://t.co/obRXlwmkaA
- No, GPT 6 Sol, we should not import the entire 810-file Rune source tree to our project in order to fix a Rust compatibility issue. Just increase our Rust version.
- Yesterday we showed what 4 AI models did with 3 leads a sales team was already working: Claude Haiku 4.5 and Claude Sonnet 5.5 from @AnthropicAI, and GPT-5.4 Mini and GPT-6 Sol from @OpenAI. Here's the setup that caught it, and how you'd build one for your own agent. A LayerLen…
Configurations
| Configuration | Balanced | Benchmarks |
|---|---|---|
| Unspecified setting | 63.3 ±4.3 | 5 |
| High | 60.5 ±4.8 | 6 |
| Low | 56.2 ±4.9 | 5 |
| Max | 61.6 ±0.8 | 31 |
| Medium | 59.3 ±4.9 | 5 |
| Non-reasoning | 51.5 ±4.9 | 5 |
| Extra High | 62.4 ±4.2 | 6 |
Evidence
Coding 62.0 ±1.4
| Benchmark | Result | Source | Date |
|---|---|---|---|
| FrontierCode | 49.3% | Epoch AI | 2026-11-11 |
| WeirdML v3 | 19.7% | Epoch AI | 2026-11-11 |
| MirrorCode | 48.9% | Epoch AI | 2026-10-29 |
| IOI | 82.6% | Vals AI | 2026-10-29 |
| SciCode | 57.6% | Epoch AI | 2026-11-11 |
| ProgramBench | 2.0% | Vals AI | 2026-11-09 |
Agents 62.1 ±1.3
| Benchmark | Result | Source | Date |
|---|---|---|---|
| Terminal-Bench 4 | 50.3% | Terminal-Bench | 2026-09-22 |
| SRE Bench | 30.5% | Vals AI | 2026-11-05 |
| Terminal-Bench-Science | 30.0% | Vals AI | 2026-11-09 |
| APEX-Agents | 54.3% | Epoch AI | 2026-11-11 |
| Terminal-Bench 4.0 (Vals run) | 44.4% | Vals AI | 2026-11-09 |
| Terminal-Bench 2.1 (Vals run) | 83.1% | Vals AI | 2026-10-01 |
| Tax Agent Bench | 15.0% | Vals AI | 2026-11-09 |
| Vending-Bench 2 | $14,428 | Epoch AI | 2026-11-11 |
| CyberBench v1.1 | 78.0% | Vals AI | 2026-11-05 |
Reasoning 64.7 ±1.3
| Benchmark | Result | Source | Date |
|---|---|---|---|
| ARC-AGI-2 | 89.6% | Epoch AI | 2026-11-11 |
| ARC-AGI-2 (ARC Prize verified) | 89.6% | ARC Prize | 2026-11-11 |
| Extended NYT Connections | 90.1% | Lech Mazur | 2026-11-10 |
| MysteryMechanism | 30.2% | Vals AI | 2026-11-09 |
| GPQA Diamond | 94.3% | Epoch AI | 2026-09-22 |
| CritPt | 30.9% | Epoch AI | 2026-11-11 |
| ARC-AGI-1 (ARC Prize verified) | 95.5% | ARC Prize | 2026-11-11 |
| ARC-AGI-1 | 95.5% | Epoch AI | 2026-11-11 |
| SimpleBench | 73.1% | SimpleBench | 2026-09-24 |
| BioMysteryBench | 74.8% | Vals AI | 2026-11-09 |
| ARC-AGI-3 | 23.0% | ARC Prize | 2026-11-11 |
| Chess Puzzles | 56.0% | Epoch AI | 2026-10-13 |
| Mystery Game Puzzles | 56.0% | Epoch AI | 2026-09-22 |
Math 65.0 ±1.7
| Benchmark | Result | Source | Date |
|---|---|---|---|
| FrontierMath Tiers 1-3 | 89.8% | Epoch AI | 2026-09-22 |
| FrontierMath Tier 4 | 90.0% | Epoch AI | 2026-09-22 |
| OTIS Mock AIME 2024-2025 | 100.0% | Epoch AI | 2026-09-22 |
| ProofBench v1.1 | 83.0% | Vals AI | 2026-11-09 |
| ProofBench | 83.0% | Epoch AI | 2026-11-11 |
Knowledge 59.4 ±2.7
| Benchmark | Result | Source | Date |
|---|---|---|---|
| SimpleQA Verified | 60.7% | Epoch AI | 2026-09-22 |
| Legal Research Bench | 28.8% | Vals AI | 2026-11-09 |
Frontend 61.8 ±0.7
| Benchmark | Result | Source | Date |
|---|---|---|---|
| Vibe Code Bench v1.1 | 87.8% | Vals AI | 2026-11-09 |
| LMArena WebDev | 1,674 | LMArena | 2026-11-09 |
General 64.3 ±7.0
| Benchmark | Result | Source | Date |
|---|---|---|---|
| LMArena Text | 1,457 | LMArena | 2026-11-09 |
| EQ-Bench Creative Writing v3 | 2,126 | EQ-Bench | 2026-11-11 |
| EQ-Bench Longform Creative Writing | 82.8% | EQ-Bench | 2026-11-11 |
Multimodal 56.6 ±4.1
| Benchmark | Result | Source | Date |
|---|---|---|---|
| LMArena Vision | 1,258 | LMArena | 2026-11-09 |
Results not used in the score
| Benchmark | Result | Source | Why not used |
|---|---|---|---|
| ARC-AGI-1 | 92.7% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-1 | 91.0% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-1 | 83.7% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-1 | 72.2% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-1 | 29.3% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-1 (ARC Prize verified) | 92.7% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-1 (ARC Prize verified) | 91.0% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-1 (ARC Prize verified) | 83.7% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-1 (ARC Prize verified) | 72.2% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-1 (ARC Prize verified) | 29.3% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-2 | 78.1% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-2 | 68.9% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-2 | 57.8% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-2 | 31.5% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-2 | 1.7% | Epoch AI | A stronger configuration result was used |
| ARC-AGI-2 (ARC Prize verified) | 78.1% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-2 (ARC Prize verified) | 68.9% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-2 (ARC Prize verified) | 57.8% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-2 (ARC Prize verified) | 31.5% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-2 (ARC Prize verified) | 1.7% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 4.6% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 1.8% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 9.5% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 0.9% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 5.9% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 0.4% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 4.9% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 0.1% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 1.8% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 0.3% | ARC Prize | A stronger configuration result was used |
| ARC-AGI-3 | 1.2% | ARC Prize | A stronger configuration result was used |
| CritPt | 28.0% | Epoch AI | A stronger configuration result was used |
| CritPt | 25.4% | Epoch AI | A stronger configuration result was used |
| CritPt | 24.6% | Epoch AI | A stronger configuration result was used |
| CritPt | 16.3% | Epoch AI | A stronger configuration result was used |
| CritPt | 4.0% | Epoch AI | A stronger configuration result was used |
| SciCode | 55.1% | Epoch AI | A stronger configuration result was used |
| SciCode | 54.9% | Epoch AI | A stronger configuration result was used |
| SciCode | 53.8% | Epoch AI | A stronger configuration result was used |
| SciCode | 50.2% | Epoch AI | A stronger configuration result was used |
| SciCode | 47.3% | Epoch AI | A stronger configuration result was used |
Names matched to this model
gpt-6-sol