PHHere is how GPT-6.1 Sol stacks up across the primary benchmarks:
The competitive angle: Claude Opus 5.5 and GPT-6 Astra still hold the top two spots (60.3 and 59.1 overall), but GPT-6.1 Sol is squarely targeted at the mid-tier workhorse market—competing directly against models like Claude Sonnet 5.5, GLM-5.3, and Kimi K3.
Where Sol really makes its bid is cost efficiency:
- LLM Stats (Overall): 52.0 (trailing Astra at 59.1 and Claude Opus 5.5 at 60.3)
- Reasoning: 42.2
- Coding: 38.4
- Agent: 38.1
- Context Window: 1.1M tokens
The competitive angle: Claude Opus 5.5 and GPT-6 Astra still hold the top two spots (60.3 and 59.1 overall), but GPT-6.1 Sol is squarely targeted at the mid-tier workhorse market—competing directly against models like Claude Sonnet 5.5, GLM-5.3, and Kimi K3.
Where Sol really makes its bid is cost efficiency:
- Standard Pricing: $2.38 / $1M tokens (well below Astra’s $11.90 and Opus 5.5’s $4.76)
- Cached Reads: Cut to $0.10 / $1M tokens—making repeated, agentic loops significantly cheaper to run in production.