GPT-6.1 Sol
OpenAI updated frontier reasoning model with enhanced long-horizon planning, refined code synthesis, and reduced hallucination rates.
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.
Strengths & Trade-offs
Where it wins
- Near-Astra intelligence at a fraction of the cost
- Top SWE-bench-tier verified coding
- Cheapest cache reads in the GPT-6 family
Trade-offs to watch
- Still below Astra on frontier reasoning
- Closed weights; usage-based pricing only
Killer Use Cases
Developer Quickstart & API
OPENAI_API_KEY first — get an API keycurl https://api.openai.com/v1/responses \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "gpt-6.1-sol",
"input": "Refactor this function for O(n) time and explain the change."
}'from openai import OpenAI
client = OpenAI() # reads OPENAI_API_KEY
resp = client.responses.create(
model="gpt-6.1-sol",
input="Refactor this function for O(n) time and explain the change.",
)
print(resp.output_text)const res = await fetch("https://api.openai.com/v1/responses", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.OPENAI_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({ model: "gpt-6.1-sol", input: "Refactor this function for O(n) time and explain the change." }),
});
console.log((await res.json()).output_text);Official Resources & Links
Compare hosts & latency
Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.
Scores by Source
Category Scores
Benchmark Results
Head-to-head Live Matchups
Live Specs & Architecture
- Near-Astra coding performance at roughly one-fifth the token price
- 95% discount on cached input tokens for repo-scale prompts
- Tuned for agentic coding and computer use
Estimated monthly bill
Cite & embed
Loading badge markdown...@misc{llmpodium2026gpt61sol,
title = {Benchmark Analysis and Intelligence Evaluation of GPT-6.1 Sol},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/gpt-6-1-sol}
}Embed Score Badge
Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.
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