GPT-5.6 Sol
everyais/gpt-5-6-sol
GPT-5.6 Sol (everyais/gpt-5-6-sol) availability, capabilities, context limits, and public reference pricing on everyais.
Method
The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.
Source and update
GET /models/catalogUpdated
- Model type
- Chat
- Released
- 2026-08-13
- Context window
- 272K
- Price unit
- Per 1M tokens
- Maximum output
- 4,096
- Model reference price (USD)
Standard (≤272K)
- Input / 1M tokens
- $4
- Output / 1M tokens
- $20
- Cache read / 1M tokens
- $0.4
- Cache write / 1M tokens
- $5
Long context (>272K, full request)
- Input / 1M tokens
- $8
- Output / 1M tokens
- $30
- Cache read / 1M tokens
- $0.8
Capabilities
- ✓ Vision
Supported endpoints
- /v1/chat/completions
Benchmarks
Evaluation results published by external sources. Only mappings approved by a human administrator are shown.
| Benchmark | Score | Source |
|---|---|---|
| eci | 162.03 (source-specific scale) | Epoch AI Benchmarking HubCC-BY |
Scores are reproduced as published; everyais does not re-measure them. Scores using different units cannot be compared. See benchmark sources and licenses.
Usage and availability trend
Last 9 days · 2026-09-08 Input 1,225 · Output 121 tokens.
Daily availability (success rate %)
Insufficient sample — not enough requests to publish a success rate.
Code example
Use the OpenAI SDK by changing only base_url.
from openai import OpenAI
client = OpenAI(
api_key="everyais_...",
base_url="https://api.everyais.com/v1",
)
response = client.chat.completions.create(
model="everyais/gpt-5-6-sol",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Other models in this family
Compare models side by side
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