GPT-6.1 Sol
Near-Astra intelligence for a fifth of the price
Context window
1,050,000
Input / 1M tokens
$2.00
Output / 1M tokens
$10.00
Provider
OpenAI
Data verified 2026-09-30
GPT-6.1 Sol is an upgrade to GPT-6 Sol that nearly matches GPT-6 Astra's intelligence on agentic coding, computer use, and professional work at one-fifth of Astra's standard input and output token prices. The model delivers significant improvements over GPT-6 Sol in complex professional tasks including code writing, debugging, document understanding, and multistep business workflows.
Capability index
Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.
How to access it
Available in the OpenAI API (gpt-6.1-sol), ChatGPT Work, and Codex for Plus, Pro, Business, Enterprise, and Edu users. Access starts with a basic API tier.
Strengths
- ✓Matches GPT-6 Astra on DeepSWE v1.1 coding tasks
- ✓Cost-efficient alternative to GPT-6 Astra at 1/5 the price
- ✓Improved factual accuracy with 32% reduction in error rate vs GPT-6 Sol
- ✓Strong performance on long-horizon computer use tasks (OSWorld 2.0)
- ✓Better alignment with user intent and safety constraints
Best for developers who...
When to choose it (and when not to)
Reach for GPT-6.1 Sol when...
- →When you need Astra-level intelligence but have a 1/5 budget constraint
- →For repeated and long-running workloads where cost per task matters
- →When coding performance and computer use are primary requirements
Look elsewhere if...
- ✕If you require the absolute highest safety standards (GPT-6 Astra has 2.4% vs 4.3% stress-test failure rate)
- ✕When maximum reasoning on scientific research tasks is critical (Astra scores 68.1% vs Sol's lower score)
How to use it
- ›Leverage prompt caching for repeated context to maximize the $0.10 cached input rate
- ›Structure complex tasks into distinct steps for better multi-step workflow handling
- ›Use higher reasoning effort (High/Max) for scientific or complex analysis work
Quickstart
Pythonfrom openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-6.1-sol",
messages=[{"role": "user", "content": "Write a Python function to sort a list"}]
)
print(response.choices[0].message.content)API key required; available via OpenAI API with proper authentication.
API model id: gpt-6.1-sol
Benchmarks
| Benchmark | Score | Notes |
|---|---|---|
| DeepSWE v1.1 | 68.8% | Matches GPT-6 Astra on long-running software engineering tasks |
| OSWorld 2.0 | 60.5% | Computer use benchmark; within 2.1 points of Astra |
| Terminal-Bench Science 0.1 (Max Effort) | Cost: $5.47/task | Task-based pricing; Astra costs $23.80, Opus 5.5 costs $23.21 |
| AutomationBench (Medium Effort) | 2.2 points above Claude Opus 5.5 | Professional automation tasks |
| Factual Accuracy (Low Reasoning Effort) | 7.7% error rate | 32% reduction vs GPT-6 Sol's 11.4% error rate |
Source: OpenAI Official Announcement
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