GPT-5.6 Sol
GPT-5.6 Sol is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 1.05m context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
- Family
- GPT-5.6
- Released
- 2026-07-09
- Context
- 1.05m
- Max output
- 128,000
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
Cheapest of 2 routes · OpenAI API · cache read $0.500
About
OpenAI's flagship GPT-5.6 model and highest-capability tier in the Sol, Terra, and Luna naming system. GPT-5.6 Sol is built for demanding reasoning, long-horizon coding, agentic workflows, and cybersecurity tasks, introducing max reasoning effort and ultra multi-agent mode. Generally available July 9, 2026 across ChatGPT, Codex, and the OpenAI API (model IDs gpt-5.6-sol and alias gpt-5.6). Supports text and image inputs, reasoning, tool use, code execution, prompt caching, and Batch API with a 1,050,000-token context window and 128K max output.
GPT-5.6 Sol is a proprietary model in the GPT-5.6 family. The structured metadata tracks a 1.05m-token context window, multimodal input, reasoning, function calling, tool use, and code execution. This page tracks provider routes through OpenAI API and OpenRouter, with the cheapest tracked route listed at $5 input and $30 output per 1M tokens. Headline tracked benchmarks include HealthBench Professional 60.5, HealthBench 57.0, and HealthBench Hard 33.1.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ D1 relevant benchmark in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 2Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| OpenAI API | $5.00 | $30.00 | $2.50 / $15.00 | read $0.500 | Serverless |
| OpenRouter | $5.00 | $30.00 | - | - | Serverless |
Available via routers & gateways(15)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
Helicone
GatewayObservability-first AI gateway with routing, caching, rate limiting, and request tracing; Apache 2.0 open-source core with a managed hosted tier for logging and analytics.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(21)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| HealthBench Professional | 60.5 | HealthBench Professional; official OpenAI scoring approachObserved 2026-07-09 | — | Source |
| HealthBench | 57.0 | length-adjusted; raw 55.6; mean response 1764 charsObserved 2026-06-26 | — | Source |
| HealthBench Hard | 33.1 | length-adjusted; raw 31.1; mean response 1751 charsObserved 2026-06-26 | — | Source |
| HealthBench Consensus | 95.5 | length-adjusted; raw 95.3; mean response 1740 charsObserved 2026-06-26 | — | Source |
| Terminal-Bench 2.1 | 88.8 | Terminal-Bench 2.1; standard mode; OpenAI GA launch harnessObserved 2026-07-09 | — | Source |
| GeneBench-Pro | 31.5 | Pro mode enabled / GPT Pro (Extended); max reasoning; GA launch cites 28.7% standard modeObserved 2026-07-09 | — | Source |
| DeepSWE 1.1 | 72.7 | DeepSWE 1.1; OpenAI GA launch tableObserved 2026-07-09 | — | Source |
| BrowseComp | 90.4 | BrowseComp; standard Sol; agentic browsing; OpenAI GA launch harnessObserved 2026-07-09 | — | Source |
| OSWorld | 62.6 | OSWorld 2.0; computer useObserved 2026-07-09 | — | Source |
| Google-Proof Q&A | 94.6 | GPQA Diamond; max reasoningObserved 2026-07-09 | — | Source |
| MMMU Pro | 83.0 | MMMU Pro; no tools; max reasoningObserved 2026-07-09 | — | Source |
| Agents' Last Exam | 52.7 | OpenAI launch table; professional long-horizon workflows; standard modeObserved 2026-07-09 | — | Source |
| Artificial Analysis Intelligence Index | 58.9 | Artificial Analysis Intelligence Index v4.1; max reasoningObserved 2026-07-09 | — | Source |
| Artificial Analysis Coding Agent Index | 80.0 | Artificial Analysis Coding Agent Index v1.1; max reasoningObserved 2026-07-09 | — | Source |
| SWE-bench Pro | 64.6 | SWE-Bench Pro; OpenAI GA launch table; codingObserved 2026-07-09 | — | Source |
| BrowseComp — Multi-Agent | 92.2 | BrowseComp; Sol Ultra multi-agent mode; agentic browsing; non-comparable to standard single-model rowsObserved 2026-07-09 | — | Source |
| CursorBench | 67.2 | CursorBench 3.2Observed 2026-07-18 | Configuration: GPT-5.6 Sol Max Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $5.69 Tokens/task: 28,320 Steps/task: 48 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
| CursorBench | 64.5 | CursorBench 3.2Observed 2026-07-18 | Configuration: GPT-5.6 Sol Extra High Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $3.88 Tokens/task: 19,699 Steps/task: 38 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
| CursorBench | 63.5 | CursorBench 3.2Observed 2026-07-18 | Configuration: GPT-5.6 Sol High Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $2.79 Tokens/task: 13,867 Steps/task: 32 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
| CursorBench | 60.0 | CursorBench 3.2Observed 2026-07-18 | Configuration: GPT-5.6 Sol Medium Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $1.95 Tokens/task: 9,747 Steps/task: 27 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
| CursorBench | 52.6 | CursorBench 3.2Observed 2026-07-18 | Configuration: GPT-5.6 Sol Low Harness: CursorBench 3.2 productized Cursor-agent workflow Evaluator: Cursor Confidence: confirmed Cost/task: $1.01 Tokens/task: 5,104 Steps/task: 19 Notes: Cursor vendor-reported result; not independently reproducible. Results are subject to variance, and small score differences may not be statistically meaningful. | Source |
Migration checks
No linked migration route is available for this model yet.
API versions
gpt-5.6Rankings & picks(5)
Frequently asked questions
What is the context window of GPT-5.6 Sol?
GPT-5.6 Sol has a context window of 1.05m tokens.
What is the max output of GPT-5.6 Sol?
GPT-5.6 Sol can generate up to 128,000 output tokens.
How much does GPT-5.6 Sol cost?
GPT-5.6 Sol is available at $5.00/1M input tokens through OpenAI API.
When was GPT-5.6 Sol released?
GPT-5.6 Sol was released on 2026-07-09.
Which providers offer GPT-5.6 Sol?
GPT-5.6 Sol is available from 2 providers: OpenAI API, OpenRouter.
What benchmarks has GPT-5.6 Sol been tested on?
GPT-5.6 Sol has been evaluated on 21 benchmarks, including HealthBench Professional, HealthBench, HealthBench Hard, HealthBench Consensus, Terminal-Bench 2.1.
Cheapest of 2 routes · OpenAI API · cache read $0.500