Moduck

OpenAI: GPT-5.6 Sol

Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows

Model lab
OpenAI
Model family
gpt-sol
Modalitiestext, image, pdf → text
Context window1,050,000
Maximum output128,000
InputUSD 1.6 / 1M tokens
OutputUSD 8 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/openai/gpt-5-6-sol.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/openai/gpt-5-6-sol"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

GPT-5.6 Sol API Pricing

TypePrice information
InputUSD 1.6 / 1M tokens
OutputUSD 8 / 1M tokens
Cached inputUSD 0.2 / 1M tokens
Cache writeUSD 2.5 / 1M tokens

Benchmarks

High

Intelligence Index · v4.342.3
Coding Index77.2
Agentic Index44.2

Low

Intelligence Index · v4.333.5
Coding Index69.7
Agentic Index31.6

Max

Intelligence Index · v4.347
Coding Index77.4
Agentic Index50.2

Medium

Intelligence Index · v4.339.2
Coding Index76.3
Agentic Index39.7

Non-reasoning

Intelligence Index · v4.328.3
Coding Index65.1
Agentic Index28.1

Xhigh

Intelligence Index · v4.344
Coding Index78.3
Agentic Index47.4
BenchmarkScoreMeasurementSource
SWE-Bench Pro64.6resolve rate · Date: 2026-07-09
Terminal-Bench88.8success rate · Version: 2.1 · Date: 2026-07-09
DeepSWE72.7resolve rate · Version: 1.1 · Date: 2026-07-09
GPQA Diamond94.6accuracy · Date: 2026-07-09
FrontierMath89accuracy · Dataset: Tier 1-3 · Version: v2 · Date: 2026-07-09
BrowseComp90.4accuracy · Date: 2026-07-09
OSWorld62.6success rate · Version: 2.0 · Date: 2026-07-09
MMMU Pro83accuracy · Variant: no tools · Date: 2026-07-09
Agents' Last Exam52.7Date: 2026-07-09
Toolathlon58success rate · Date: 2026-07-09
Artificial Analysis Intelligence Index58.9index score · Variant: max · Version: 4.1 · Date: 2026-07-09
Artificial Analysis Coding Agent Index80index score · Variant: max · Harness: Codex · Version: 1.1 · Date: 2026-07-09

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Artificial Analysis measurement · High

Output speed80.81 tokens/s
Time to first token7.29 s
Time to first answer token—
End-to-end response time—
Measurement variantOutput speedTime to first tokenTime to first answer tokenEnd-to-end response time
High80.81 tokens/s7.29 s——
Low72.48 tokens/s1.83 s——
Max89.33 tokens/s89.54 s——
Medium78.33 tokens/s3.34 s——
Non-reasoning77.03 tokens/s0.89 s——
Xhigh85.1 tokens/s23.11 s——

Performance trends

Throughput80.81 tok/sCurrent
Time to first token7.29 sCurrent
End-to-end latency7.5 sCurrent
Throughput
Current80.81 tok/s
Window average83.4 tok/s
Time to first token
Current7.29 s
Window average7.5 s
End-to-end latency
Current7.5 s
Window average7.5 s
Tail latency (P99)
Current16.0 s
Window average17.0 s
Prompt cache hit rate
Current18.4%
Window average24.7%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

GPT-5.6 Sol Compare models

ModelInput priceOutput priceContext windowCapabilities
GPT-5.6 SolThis pageUSD 1.6 / 1M tokensUSD 8 / 1M tokens1,050,000Text output · Reasoning · Tool calling
GPT-6.1 SolUSD 1.6 / 1M tokensUSD 8 / 1M tokens1,050,000Text output · Reasoning · Tool calling
GPT-6 SolUSD 1.6 / 1M tokensUSD 8 / 1M tokens1,050,000Text output · Reasoning · Tool calling
GPT-6 LunaUSD 0.08 / 1M tokensUSD 0.4 / 1M tokens1,050,000Text output · Reasoning · Tool calling
GPT-6 AstraUSD 8 / 1M tokensUSD 40 / 1M tokens1,050,000Text output · Reasoning · Tool calling

Model specifications

Input
text, image, pdf
Output
text
Context window
1,050,000
Maximum input
922,000
Maximum output
128,000
Release date
2026-07-09
Attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature setting
No
Open weights
No

Frequently asked questions

What is GPT-5.6 Sol for?

Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows

What inputs and outputs does GPT-5.6 Sol support?

Recorded inputs: text, images, PDF; outputs: text.

How is GPT-5.6 Sol priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 1.6 / 1M tokens; Output USD 8 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for GPT-5.6 Sol?

Current model records list Context window 1,050,000 tokens; Maximum output 128,000 tokens.

What model parameter does the Quickstart use?

The example uses moduck/openai/gpt-5-6-sol. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.