GPT-6 Astra vs GPT-6 Sol
Full profiles: GPT-6 Astra (OpenAI) and GPT-6 Sol (OpenAI): every benchmark, price and rank.
Updated · Data from 14 sources
As of 9 Nov 2026, GPT-6 Astra is ahead of GPT-6 Sol on quality (68.1 vs 62.9 on the BenchLeader Index), but GPT-6 Sol is 5.0× cheaper at $4.00 vs $20.00 per 1M tokens blended. Choose Astra for reasoning (86 vs 66), coding (83 vs 67), and agents & tools (69 vs 60) and fast first answers (4.8 s vs 72.1 s); choose Sol for knowledge (62 vs 56), where it also streams 3×+ faster.
Key facts (as of 9 Nov 2026)
- GPT-6 Astra scores 68.1 on the BenchLeader Index and GPT-6 Sol scores 62.9 (BenchLeader, 9 Nov 2026).
- GPT-6 Astra costs $20.00 per 1M tokens blended (list price, 9 Nov 2026).
- GPT-6 Sol costs $4.00 per 1M tokens blended (list price, 9 Nov 2026).
- GPT-6 Sol streams 3×+ faster than GPT-6 Astra (Artificial Analysis, 7-day median, 9 Nov 2026).
- Of the 3 benchmarks both models have, GPT-6 Astra leads 2 (BenchLeader, 9 Nov 2026).
Which to pick for…
The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.
| Use case | Pick | Why | Confidence |
|---|---|---|---|
| Coding | GPT-6 Astra | 83 vs 67 category score | High |
| Agents & tool use | GPT-6 Astra | 69 vs 60 category score; APEX-Agents 64.7% vs 54.3% | High |
| Maths | GPT-6 Astra | 78 vs 69 category score | High |
| Reasoning | GPT-6 Astra | 86 vs 66 category score; LMCA 64.1% vs 59.1% | High |
| Knowledge | GPT-6 Sol | 62 vs 56 category score | Medium |
| Chat quality (human preference) | – | Only GPT-6 Sol has an Arena rating (64 category score) | Not comparable |
| Lowest cost | GPT-6 Sol | $4.00 vs $20.00 per 1M blended; agentic coding session $0.160 vs $0.800 | – |
| Fastest first answer | GPT-6 Astra | 4.8 s (GPT-6 Astra) vs 72.1 s (GPT-6 Sol (max)) to the first answer token | – |
| High volume on a budget | Neither flagship | A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs | – |
Key differences
- GPT-6 Astra leads on quality: 68.1 vs 62.9.
- GPT-6 Astra is stronger in agents & tools, coding, composite, maths, reasoning.
- GPT-6 Sol (max) is stronger in knowledge, human preference, long context, multimodal.
- GPT-6 Sol (max) is 5.0× cheaper ($4.00 vs $20.00 per 1M blended).
- GPT-6 Sol (max) streams 4.5× faster (121 vs 27 tokens per second).
At a glance
| Spec | GPT-6 Astra | GPT-6 Sol |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Released | 2 Sep 2026 | 22 Sep 2026 |
| Context window (tokens) | 1,050,000 | 1,050,000 |
| Compared at | GPT-6 Astra | GPT-6 Sol (max) |
| Open weights | No | No |
| Price in / out / cached input per 1M | $10.00 / $50.00 / $1.00 | $2.00 / $10.00 / $0.200 |
Category by category
Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.
| Category | GPT-6 Astra | GPT-6 Sol (max) | Leader |
|---|---|---|---|
| Reasoning | 85.6 | 66.2 | GPT-6 Astra |
| Coding | 83.2 | 66.5 | GPT-6 Astra |
| Agents & tools | 69.2 | 59.6 | GPT-6 Astra |
| Maths | 77.9 | 68.5 | GPT-6 Astra |
| Knowledge | 56.1 | 61.5 | GPT-6 Sol |
| Human preference | – | 64.2 | not comparable |
| Multimodal | – | 60.7 | not comparable |
| Long context | – | 66.6 | not comparable |
| Composite | 72.6 | – | not comparable |
On one chart
Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.
Not drawn, measured for fewer than two of these models: Instruction following, Long context, Multimodal, Human preference.
Where sources disagree
Across the 3 benchmarks both have, GPT-6 Astra leads 2, GPT-6 Sol leads 1. Independent sources split: GPT-6 Astra leads on BenchLeader Index and Arena Text; GPT-6 Sol leads on AA Intelligence Index v5.0.
| Overall index | GPT-6 Astra | GPT-6 Sol (max) | Leader |
|---|---|---|---|
| BenchLeader Index | 68.1 | 62.9 | GPT-6 Astra |
| AA Intelligence Index v5.0 | 43.3† | 44.2 | GPT-6 Sol |
| Arena Text | 1475† | 1457 | GPT-6 Astra |
Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).
Price, speed and latency
List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.
| Measure | GPT-6 Astra | GPT-6 Sol (max) |
|---|---|---|
| Blended price per 1M tokens | $20.00 | $4.00 |
| Input / output per 1M | $10.00 / $50.00 | $2.00 / $10.00 |
| Cached input per 1M | $1.00 | $0.200 |
| Price per task: chat reply | $0.019 | $0.0038 |
| Price per task: summarize a 30-page report | $0.150 | $0.030 |
| Price per task: code edit | $0.135 | $0.027 |
| Price per task: agentic coding session | $0.800 | $0.160 |
| Price per task: structured extraction | $0.030 | $0.0060 |
| Agentic coding session, input mostly cached | $0.395 | $0.079 |
| Cost per benchmark task (AA Index) | – | $2.47 |
| Output tokens per task (AA Index) | – | 54k |
| Of which reasoning | – | 35k |
| Time per task (AA Index) | – | 7 min |
| Output speed | 27 tok/s | 121 tok/s |
| Time to first answer | 4.8 s | 72.1 s |
| Time to a complete answer | – | 130.2 s |
Each model is compared at its best-ranked reasoning-effort setting. GPT-6 Astra scores 68.1 and takes 5 s to its first answer token; GPT-6 Astra (max) scores 67.4 in 232 s, GPT-6 Astra (high) scores 66.5 in 64 s. GPT-6 Sol (max) scores 62.9 and takes 72 s to its first answer token; GPT-6 Sol (xhigh) scores 58.6 in 24 s, GPT-6 Sol (high) scores 58.2 in 9 s. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.
Every benchmark
144 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.
| Metric | Publisher | GPT-6 Astra | GPT-6 Sol (max) |
|---|---|---|---|
| BenchLeader Index | BenchLeader | 68.1 | 62.9 |
| Agents & tools score | BenchLeader | 69.2 | 59.6 |
| Coding score | BenchLeader | 83.2 | 66.5 |
| Composite score | BenchLeader | 72.6 | – |
| Knowledge score | BenchLeader | 56.1 | 61.5 |
| Maths score | BenchLeader | 77.9 | 68.5 |
| Reasoning score | BenchLeader | 85.6 | 66.2 |
| Human preference score | BenchLeader | – | 64.2 |
| Long context score | BenchLeader | – | 66.6 |
| Multimodal score | BenchLeader | – | 60.7 |
| Blended price $/M | BenchLeader | $20.00 | $4.00 |
| Output speed | BenchLeader | 27 tok/s | 121 tok/s |
| Time to first answer | BenchLeader | 4.8 s | 72.1 s |
| Context window | BenchLeader | 1,050,000 tokens | 1,050,000 tokens |
| Reasoning | |||
| GPQA Diamond | Epoch AI Benchmarking Hub | 95.8%† | 94.3% |
| Humanity's Last Exam | Scale AI / CAIS | 54.8% | – |
| Arena Hard Prompts | Arena (LMArena) | 1500† | 1483 |
| LiveBench 2.0 Reasoning | LiveBench | 92.7% | – |
| LiveBench 1.0 Reasoning | LiveBench | 92.7%† | 88.7% |
| GPQA Diamond (AA) | Artificial Analysis | 96.1%† | – |
| Humanity's Last Exam (AA) | Artificial Analysis | 54.7%† | 47.9% |
| HLE-Diamond (AA) | Artificial Analysis | 63.8%† | 45.2% |
| ARC-AGI-1 | ARC Prize | 97.5%† | 95.5% |
| ARC-AGI-2 | ARC Prize | 95.0%† | 89.6% |
| ARC-AGI-3 | ARC Prize | 98.6%† | 23.0% |
| CritPt | Artificial Analysis | 31.7%† | 30.9% |
| CritPt v2 hard subset (AA) | Artificial Analysis | 70.5%† | 66.5% |
| MysteryMechanism | Vals AI | 53.1%† | 30.2% |
| Chess Puzzles | Epoch AI Benchmarking Hub | 74.0%† | 56.0% |
| Mystery Game Puzzles | Epoch AI Benchmarking Hub | 84.0%† | 56.0% |
| LMCA | Epoch AI Benchmarking Hub | 64.1% | 59.1% |
| DTBench | Epoch AI Benchmarking Hub | 97.1% | 97.3% |
| BTF-3 | Epoch AI Benchmarking Hub | 13.5%† | – |
| Coding | |||
| SciCode | SciCode | 56.5%† | 57.6% |
| WeirdML | WeirdML | 93.3%† | – |
| FrontierCode | Cognition | 53.3%† | 49.3% |
| GSO-Bench | GSO-Bench | 79.4% | – |
| Arena Coding | Arena (LMArena) | 1548† | 1520 |
| Arena WebDev | Arena (LMArena) | 1767† | 1674 |
Show all 144 benchmarks
| Metric | Publisher | GPT-6 Astra | GPT-6 Sol (max) |
|---|---|---|---|
| Coding | |||
| LiveBench 2.0 Coding | LiveBench | 87.5% | – |
| LiveBench 1.0 Coding | LiveBench | 80.4%† | 81.8% |
| IOI | Vals AI | 100.0%† | 82.6% |
| Code Migration | Vals AI | 67.7%† | 57.2% |
| Code Migration v1.1 | Vals AI | 80.6%† | – |
| ProgramBench | Vals AI | 5.5%† | 2.0% |
| SWE-bench Multimodal | Vals AI | 43.3%† | – |
| Vibe Code Bench 1-100 | Vals AI | 27.6%† | – |
| Vibe Code Bench v1.1 | Vals AI | 89.6%† | 87.8% |
| SWE Atlas: Codebase QnA | Scale AI SEAL | 59.1%† | – |
| SWE Atlas: Refactoring | Scale AI SEAL | 59.0%† | – |
| SWE Atlas: Test Writing | Scale AI SEAL | 50.7%† | – |
| MirrorCode | Epoch AI Benchmarking Hub | 46.7%† | – |
| DeepSWE v1.1 | Epoch AI Benchmarking Hub | 73.2%† | – |
| ALE-Bench | Epoch AI Benchmarking Hub | 2951.3† | 2462 |
| FrontierSWE | Epoch AI Benchmarking Hub | 65.5%† | – |
| Terminal-Bench 4.0 (AA) | Artificial Analysis | 59.1%† | 43.9% |
| Terminal-Bench 2.1 (AA) | Artificial Analysis | 88.4%† | – |
| Startrise Frontend | Startrise | 79.9% | – |
| GameBench 2 Overall | DuelLab GameBench 2 | 88.7 | 72.9† |
| GameBench 2 by reasoning setting | DuelLab GameBench 2 | 94.0† | 79.3† |
| Design Arena Website | Design Arena | 1333† | 1285† |
| FrontierCode 1.1 (AA) | Artificial Analysis | 47.0%† | – |
| FrontierCode 2.0 (AA) | Artificial Analysis | 42.4%† | 35.6% |
| Agents & tools | |||
| Terminal-Bench | Terminal-Bench | 60.3%† | 50.3% |
| Remote Labor Index | Scale AI / CAIS | 20.8% | – |
| APEX-Agents | Mercor | 64.7% | 54.3% |
| Arena Agent | Arena (LMArena) | 14.2† | 7 |
| LiveBench Long Agentic | LiveBench | 75.6% | – |
| LiveBench Browser | LiveBench | 91.3% | – |
| LiveBench Agentic Coding | LiveBench | 57.3%† | 52.9% |
| Terminal-Bench 2.1 (Vals) | Vals AI | 87.3%† | 83.2% |
| HiL-Bench | Scale AI SEAL | 65.3% | – |
| GDPval-AA v2.1, normalised score | Artificial Analysis | 53.7%† | – |
| GDPval-AA v2.1 | Artificial Analysis | 1584† | – |
| τ³-Banking (AA) | Artificial Analysis | 41.4%† | – |
| ITBench SRE (AA) | Artificial Analysis | 48.6%† | 49.4% |
| Analyst Agent (AA) | Artificial Analysis | 51.3%† | – |
| CUA-bench | Vals AI | 19.2%† | – |
| CyberBench | Vals AI | 41.1%† | 78.0% |
| Finance Agent v2 | Vals AI | 53.5%† | 49.0% |
| Finance Agent v2.1 | Vals AI | 60.4%† | – |
| Harvey's Legal Agent Benchmark v1.1 | Vals AI | 7.1%† | – |
| Harvey's Legal Agent Benchmark v1 | Vals AI | 5.4%† | 1.7% |
| Legal Research Bench | Vals AI | 39.4%† | 28.9% |
| Robo-bench | Vals AI | 23.3%† | – |
| SREBench | Vals AI | 56.9%† | 30.5% |
| Tax Agent Bench | Vals AI | 20.7%† | 15.0% |
| Terminal-Bench 4.0 (Vals) | Vals AI | 59.6%† | 44.4% |
| Terminal-Bench Science | Vals AI | 62.9%† | 30.0% |
| Time Horizon Index: KSP | Vals AI | 90.5%† | – |
| Arena Search | Arena (LMArena) | 1245† | 1229 |
| BALROG | BALROG | 68.3%† | – |
| Vending-Bench 2 | Andon Labs | 15514.7 | 14427.9† |
| AutomationBench | Artificial Analysis | 68.5%† | 61.6% |
| GDP.pdf (AA) | Artificial Analysis | 31.0%† | 25.2% |
| Harvey LAB-AA v1.1 | Harvey | 8.6%† | 3.6% |
| AA-Briefcase v1.1 | Artificial Analysis | 1569† | 1476 |
| GDPx | GDPx by SemiAnalysis | 9.6%† | – |
| Design Arena Agentic | Design Arena | 1393† | 1212† |
| Terminal-Bench-Science 0.1 (AA) | Artificial Analysis | 63.3%† | 30.0% |
| CWE-Bench (AA) | Artificial Analysis | 63.3%† | 64.2% |
| DeepSec-Bench (AA) | Artificial Analysis | 36.9%† | 46.3% |
| CyberGym end-to-end (AA) | Artificial Analysis | 0.0%† | 0.0% |
| FACTS Search | 93.3% | – | |
| Maths | |||
| FrontierMath Tiers 1–3 | Epoch AI Benchmarking Hub | 93.7%† | 89.8% |
| FrontierMath Tier 4 | Epoch AI Benchmarking Hub | 97.6%† | 90.0% |
| OTIS Mock AIME | Epoch AI Benchmarking Hub | 100.0%† | 100.0% |
| ProofBench | Vals AI | 99.0% | 83.0%† |
| LiveBench Mathematics | LiveBench | 96.8%† | 96.4% |
| Arena Maths | Arena (LMArena) | 1481† | 1440 |
| Knowledge | |||
| SimpleQA Verified | Epoch AI Benchmarking Hub | 75.6%† | 60.7% |
| LiveBench 2.0 Data Analysis | LiveBench | 83.0% | – |
| LiveBench Research | LiveBench | 90.6% | – |
| LiveBench 1.0 Data Analysis | LiveBench | 83.0%† | 81.2% |
| AA-Omniscience v1.1 | Artificial Analysis | 42.4† | 21.4 |
| PRBench Finance | Scale AI SEAL | 47.5% | – |
| PRBench Legal | Scale AI SEAL | 48.4% | 38.6%† |
| BioMysteryBench | Vals AI | 79.3%† | 74.8% |
| Excel Modeling Benchmark | Vals AI | 71.7%† | 71.5% |
| Excel Modeling Benchmark v1.1 | Vals AI | 72.7%† | – |
| MedCode | Vals AI | 48.5%† | 47.1% |
| MedScribe | Vals AI | 87.9%† | 82.0% |
| Public Benefits Bench v1.1 | Vals AI | – | 56.6% |
| DrugDiscoveryBench | Scale AI SEAL | 68.7%† | – |
| EBR-bench | Epoch AI Benchmarking Hub | 76.2%† | 53.3% |
| GDP.pdf | Epoch AI Benchmarking Hub | 34.2%† | 26.4% |
| AA-Omniscience v1.1: accuracy | Artificial Analysis | 61.6%† | 51.1% |
| AA-Omniscience v1.1: non-hallucination | Artificial Analysis | 50.2%† | 39.1% |
| HealthBench Professional (AA) | OpenAI | 66.0%† | 62.3% |
| Instruction following | |||
| LiveBench Language | LiveBench | 89.4%† | 85.3% |
| LiveBench Instruction Following | LiveBench | 75.6%† | 68.6% |
| Arena Instruction Following | Arena (LMArena) | 1473† | 1448 |
| Human preference | |||
| Arena Text | Arena (LMArena) | 1475† | 1457 |
| Arena Creative Writing | Arena (LMArena) | 1450† | 1430 |
| Arena Multi-turn | Arena (LMArena) | 1483† | 1466 |
| Arena Longer Queries | Arena (LMArena) | 1486† | 1466 |
| Multimodal | |||
| Arena Vision | Arena (LMArena) | 1279† | 1232 |
| LiveBench Design | LiveBench | 80.0% | – |
| MMMU-Pro | Artificial Analysis | 86.9%† | 83.0% |
| Blueprint-Bench 2 | Epoch AI Benchmarking Hub | 49.7% | 36.9%† |
| Code2Video-AA | Artificial Analysis | 1427† | – |
| AA-3D | Artificial Analysis | 1168† | 1131 |
| Long context | |||
| AA-LCR v1.1 | Artificial Analysis | 80.7%† | 83.7% |
| Arena Document | Arena (LMArena) | 1473† | – |
| MLCR | Artificial Analysis | 41.7%† | 33.9% |
| Composite | |||
| Epoch Capabilities Index | Epoch AI Benchmarking Hub | 169.1 | 164.1† |
| LiveBench 2.0 | LiveBench | 84.5% | – |
| LiveBench 1.0 | LiveBench | 82.2%† | 79.3% |
| AA Intelligence Index v5.0 | Artificial Analysis | 56.9† | 44.2 |
| AA Intelligence Index v4.3.2 | Artificial Analysis | 52.7† | 47.6 |
| AA Progress Index v1 | Artificial Analysis | 349.6† | 334 |
| Vals Index | Vals AI | 65.0† | – |
| Vals Finance Index | Vals AI | 55.6%† | – |
| Vals RSI Index | Vals AI | 27.1%† | 28.1% |
| Vals Science Index | Vals AI | 65.1%† | 45.0% |
| Vals Router Index | Vals AI | 65.0% | – |
| AA Cyber Index | Artificial Analysis | 33.4† | 36.8 |
| Safety & honesty | |||
| FORTRESS | Scale AI SEAL | 12.1% | 13.5%† |
Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.
DuelLab GameBench 2, release gb2-20261103-eaea31df94e6 (https://benchmarks.duellab.org/releases/gb2-20261103-eaea31df94e6/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Scores mapped to BenchLeader model names; not endorsed by DuelLab.
What changed
- GPT-6 Sol (max): BenchLeader Index 63.5 → 62.9.
- GPT-6 Astra: 5 score revisions.
- GPT-6 Sol (max): 2 score revisions.
- GPT-6 Sol (max): 1 score revision.
- GPT-6 Astra: 1 score revision.
- GPT-6 Astra: 1 new result (FORTRESS); 1 score revision.
- GPT-6 Sol (max): 1 score revision.
- GPT-6 Astra: 1 score revision.
- GPT-6 Sol (max): 6 new results (AA Intelligence Index v5.0, AA-Omniscience v1.1, CritPt v2 hard subset (AA)…).
- GPT-6 Sol (max): 1 score revision.
Related comparisons
- GPT-6 Astra vs Claude Fable 5.2
- GPT-6 Astra vs Claude Opus 5.5
- GPT-6 Astra vs Gemini 4 Carbon
- GPT-6 Sol vs Claude Fable 5.2
- GPT-6 Sol vs Claude Opus 5.5
- GPT-6 Sol vs Gemini 4 Carbon
- GPT-5.6 Sol vs GPT-6 Sol
- GPT-6 Astra vs GPT-5.6 Sol
Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs
GPT-6 Astra vs GPT-6 Sol: questions
- Is GPT-6 Astra better than GPT-6 Sol?
- GPT-6 Astra leads on quality: 68.1 vs 62.9. The BenchLeader Index combines every independent quality benchmark; GPT-6 Astra is ahead overall as of 9 Nov 2026, but check the category scores for your use.
- GPT-6 Astra vs GPT-6 Sol: which is cheaper, and will that change?
- GPT-6 Sol is cheaper today: $4.00 against $20.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
- Is GPT-6 Astra or GPT-6 Sol better for coding?
- GPT-6 Astra scores higher in coding (83 vs 67 on the category index, where 50 is average).
- Which is faster, GPT-6 Astra or GPT-6 Sol?
- GPT-6 Sol streams 3×+ faster (121 vs 27 output tokens per second, Artificial Analysis 7-day median).
- Is GPT-6 Astra or GPT-6 Sol better for agents and tool use?
- GPT-6 Astra scores higher in agentic tasks (69 vs 60 on the category index, where 50 is average). On APEX-Agents, the top shared agents & tools benchmark, it is 64.7% for GPT-6 Astra against 54.3% for GPT-6 Sol.
More questions (4)
- Which is better for long documents?
- Both accept 1,050,000 tokens of context.
- Which has lower latency?
- GPT-6 Astra answers first: 4.8 s against 72.1 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
- Do independent benchmarks agree on GPT-6 Astra vs GPT-6 Sol?
- Across the 3 benchmarks both have, GPT-6 Astra leads 2, GPT-6 Sol leads 1. Independent sources split: GPT-6 Astra leads on BenchLeader Index and Arena Text; GPT-6 Sol leads on AA Intelligence Index v5.0.
- When was GPT-6 Sol released?
- GPT-6 Sol was released on 22 Sep 2026.