# GPT-5.6 Sol Usage, Cost & Rank | OpenCode Data

> GPT-5.6 Sol costs $4.00 per 1M input tokens and $20.00 per 1M output tokens.

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

- Page: https://opencode.ai/data/openai/gpt-5-6-sol
- JSON: https://opencode.ai/data/openai/gpt-5-6-sol.json
- Model ID: openai/gpt-5.6-sol
- Lab: OpenAI
- Updated: 2026-09-28T12:09:38.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1.1M |
| Max output | 128K |
| Knowledge cutoff | 2026-02-16 |
| Release date | 2026-07-09 |
| Input modalities | text, image, pdf |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $4.00 | $20.00 | $0.40 | $5.00 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | Unranked |
| Tokens | 0 |
| Share of all tokens | 0% |
| Change vs previous 2 months | 0% |
| Unique users | 0 |
| Completed sessions | 1 |
| Average tokens per session | 0 |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 0% |
| Weekly retention | - |

## Daily usage: past 2 months

_No data yet._

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 1 | [space-bunny](https://opencode.ai/data/unknown/space-bunny.md) | - | 57T |
| 2 | [deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 33T |
| 3 | [muse-spark-1.3-contributor](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 31T |
| 4 | [mimo-v2.6-flash](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 8.8T |
| 5 | [deepseek-v4-flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | DeepSeek | 5.7T |
| 6 | [nemotron-3-ultra](https://opencode.ai/data/nvidia/nemotron-3-ultra.md) | NVIDIA | 3.6T |
| 7 | [longcat-2.5-preview](https://opencode.ai/data/meituan/longcat-2-5-preview.md) | Meituan | 2.6T |
| 8 | [glm-5.3-flash](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 2.1T |
| 9 | [mimo-v2.5](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | Xiaomi | 794B |
| 10 | [muse-spark-1.2-contributor](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | Meta | 738B |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| SWE-Bench Pro | 64.6 | resolve rate | https://openai.com/index/gpt-5-6/ |
| Terminal-Bench | 88.8 | success rate | https://openai.com/index/gpt-5-6/ |
| DeepSWE | 72.7 | resolve rate | https://openai.com/index/gpt-5-6/ |
| GPQA Diamond | 94.6 | accuracy | https://openai.com/index/gpt-5-6/ |
| FrontierMath | 89 | accuracy | https://openai.com/index/gpt-5-6/ |
| BrowseComp | 90.4 | accuracy | https://openai.com/index/gpt-5-6/ |
| OSWorld | 62.6 | success rate | https://openai.com/index/gpt-5-6/ |
| MMMU Pro | 83 | accuracy | https://openai.com/index/gpt-5-6/ |
| Agents' Last Exam | 52.7 |  | https://openai.com/index/gpt-5-6/ |
| Toolathlon | 58 | success rate | https://openai.com/index/gpt-5-6/ |
| Artificial Analysis Intelligence Index | 58.9 | index score | https://artificialanalysis.ai/articles/gpt-5-6-has-landed |
| Artificial Analysis Coding Agent Index | 80 | index score | https://artificialanalysis.ai/articles/gpt-5-6-has-landed |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.