OpenAI
GPT-6.1 Sol
OpenAI updated frontier reasoning model with enhanced long-horizon planning, refined code synthesis, and reduced hallucination rates.
Intelligenza
92.4 #11
AAQI 93.0
Velocità Uscita
75 t/s
ITL 13.3 ms/tok
Prezzo combinato (3:1)
$10 /1M
Input $5/M · Output $20/M
Contesto
1M
≈ 2,500 pagine A4 · output max 65,536
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
GPT-6.1 Sol
Claude Mythos Preview (#1)
Average (68)
Gli assi radar sono approssimati dai punteggi di categoria dove mancano misurazioni dirette — vedi Metodologia.
Punti di forza e compromessi
Dove vince
- Near-Astra intelligence at a fraction of the cost
- Top SWE-bench-tier verified coding
- Cheapest cache reads in the GPT-6 family
A cosa fare attenzione
- Still below Astra on frontier reasoning
- Closed weights; usage-based pricing only
Casi d'uso killer
Codex-style agents
Day-to-day agentic coding at sustainable cost.
CI fix loops
Cheap cached prompts for repeated repo context.
Professional knowledge work
Analysis, drafting and structured reasoning.
Quickstart per sviluppatori e API
Imposta prima
OPENAI_API_KEY — ottieni una chiave APIcurl 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);Risorse e link ufficiali
Deployment API
Confronta host e latenza
Throughput, TTFT e prezzi cache su Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock e Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Punteggi per Fonte
Punteggi per Categoria
Risultati dei Benchmark
Scontri diretti live
Specifiche live e architettura
Sotto il cofano
GPT-6.1 Sol — DevDay coding refresh
- 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
Data di Rilascio
8 ott 2026
Architettura
GPT-6.1 Sol — DevDay coding refresh
Parametri
Not disclosed
Licenza
Proprietary
Finestra di Contesto
1,000,000 tokens
Output max
65,536 tokens
Modalità
text + image
Prezzi cache
lettura $0.5 · scrittura $5 /1M
Ragionamento
Livelli di sforzo
Prezzo Ingresso
$5/M
Prezzo Uscita
$20/M
Velocità Uscita
75 t/s
Tempo al Primo Token
—
Dati aggiornati
12 ott 2026
Stima bolletta mensile
Spesa mensile stimata
$0.00
Calcolo risparmio vs GPT-4o…
Cita e incorpora
Badge Markdown GitHub
Loading badge markdown...BibTeX
@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}
}Incorpora il badge del punteggio
Aggiungi un badge Podium Score live al tuo README su GitHub o Hugging Face — rimanda alla classifica live.
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