네 가지 추론 수준, 측정된 성과
새로운 max reasoning effort에서 medium을 선택하세요. OpenAI는 Agents' Last Exam에서 53.6을 기록했고 코딩, 생물학, 사이버보안에서 최고 점수를 보고했습니다. 이는 GPT-5.5 대비 명확한 성과 향상이지 단순한 점진적 튜닝이 아닙니다.
curl --request POST "https://gptproto.com/v1/chat/completions" \
--header "Authorization: Bearer $GPTPROTO_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"model": "gpt-5.6-sol",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 20% below official rates.
OpenAI · ≈ 148M tokens/mo (48M cached)
OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.
GPTProto를 통해 OpenAI의 gpt-5.6-sol을 이용하세요. 공식 가격에서 20% 할인되며 별도의 OpenAI 계정이 필요 없습니다.
새로운 max reasoning effort에서 medium을 선택하세요. OpenAI는 Agents' Last Exam에서 53.6을 기록했고 코딩, 생물학, 사이버보안에서 최고 점수를 보고했습니다. 이는 GPT-5.5 대비 명확한 성과 향상이지 단순한 점진적 튜닝이 아닙니다.
gpt-5.6-sol은 최대 1,050,000개 토큰을 입력받을 수 있으며 최대 출력은 128K입니다. 전체 코드베이스나 여러 문서 세트를 청크로 나누는 대신 단일 요청으로 로드하세요.
gpt-5.6-sol은 Terminal-Bench 2.1에서 88.8%, Artificial Analysis Coding Agent Index에서 80점을 기록했습니다. Programmatic Tool Calling은 모델이 작성한 JavaScript를 격리된 런타임에서 실행하여 긴 도구 호출 루프가 중단 없이 진행되도록 유지합니다.
Strict schema mode는 모든 호출에서 사용자 스펙에 맞게 검증된 JSON을 반환합니다. 재시도 파싱이나 잘못된 형식의 필드가 없으며, gpt 5.6 sol api를 통한 추출 파이프라인과 시스템 통합용으로 설계되었습니다.
GPT 5.6 Sol is the flagship model in OpenAI's GPT-5.6 family, the first generation to ship as three named tiers: Sol for frontier reasoning, Terra for balanced everyday work, and Luna for high-volume, low-latency tasks. OpenAI announced the family on June 26, 2026 as a limited preview and moved it to general availability in July 2026 — so if you searched for the gpt 5.6 sol api release date, the answer is: it is live now, and you can call it on GPTProto today.
Sol targets the work where correctness matters more than cost: long-horizon agentic coding, scientific reasoning, and structured data synthesis. It introduces two capabilities absent from GPT-5.5 — Programmatic Tool Calling, which lets the model write and execute JavaScript in an isolated V8 runtime with no network access, and an ultra multi-agent mode that coordinates four agents in parallel, lifting Terminal-Bench 2.1 from 88.8% to 91.9%.
| Spec | gpt-5.6-sol |
|---|---|
| Provider | OpenAI |
| Modality | Text in / text out |
| Context window | 1,050,000 tokens |
| Max output | 128,000 tokens |
| Reasoning levels | Medium / High / Extra High / max |
| Structured outputs | Strict JSON schema mode |
| Tool use | Programmatic Tool Calling (isolated JS runtime) |
| Prompt caching | Reads at 90% discount; writes billed 1.25x input rate |
| GPTProto price | $4 input / $24 output per 1M tokens |
| Official price | $5 input / $30 output per 1M tokens |
| Model string | gpt-5.6-sol |
The openai gpt 5.6 sol api token pricing above is flat on GPTProto. Every token is billed from the same balance you use for Claude, Gemini, DeepSeek, and 200+ other models.
The gpt-5.6 alias in OpenAI's API routes to Sol — so if you are integrating "GPT 5.6" without a tier suffix, this is the model you get. Within the gpt 5.6 family, the tiers trade capability for cost:
| Tier | Best for | AA Coding Agent Index | Official / 1M | On GPTProto |
|---|---|---|---|---|
| gpt-5.6-sol (this page) | Frontier reasoning, long agent runs | 80 | $5 / $30 | $4 / $24 |
| gpt-5.6-terra | Everyday production traffic | 77 | $2.50 / $15 | $2 / $12 |
| gpt-5.6-luna | High-volume, latency-sensitive | 74.6 | $1 / $6 | $0.80 / $4.80 |
Rule of thumb: prototype on Sol to establish a quality ceiling, then test whether Terra holds it at half the price. All three tiers share one API key and one balance on GPTProto.
Both models sit on the same official rate card ($5/$30 per 1M) and the same GPTProto rate ($4/$24), which makes this an unusual upgrade: the capability jump costs nothing extra. The gpt 5.6 sol api cost only changes with how many tokens your workload burns — and OpenAI reports Sol uses up to 54% fewer output tokens on agentic coding than the next-highest-scoring model, so per-task cost can actually fall.
| gpt-5.6-sol | gpt-5.5 | |
|---|---|---|
| Terminal-Bench 2.1 (agentic coding) | 88.8% (91.9% with ultra) | 88.0% |
| Artificial Analysis Coding Agent Index | 80 (Codex harness) | 76 (Codex harness) |
| Artificial Analysis Intelligence Index | 59 (max reasoning) | 55 |
| ExploitBench2 (vulnerability-to-execution) | 73.5% | 47.9% |
| Reasoning modes | Medium → max, plus ultra multi-agent | Standard effort levels |
| Programmatic Tool Calling | Yes (isolated JS runtime) | No |
| Official price per 1M | $5 / $30 | $5 / $30 |
| GPTProto price per 1M | $4 / $24 | $4 / $24 |
Honest read: if your workload is short chat completions, GPT-5.5 remains fine and slightly faster to first token in some setups. Choose gpt 5.6 sol vs gpt 5.5 in favor of Sol when tasks run long — multi-file coding, agent loops that previously stalled mid-run, or anything needing strict structured output at scale. Both model strings work on GPTProto at the same $4/$24 rate, so an A/B test is a one-line change. See the gpt-5.5 page for its full spec sheet.
The gpt-5.6-sol api on GPTProto is OpenAI-compatible. Migration is two edits: point base_url at GPTProto and swap in your GPTProto key. The model string gpt-5.6-sol stays identical, so existing prompts, schemas, and tool definitions carry over unchanged.
Three reasons teams route this model through an aggregator instead of going direct:
If you need a rollback path, keep gpt-5.5 as a fallback string in your config — same endpoint, same key.
통합 API 플랫폼을 통한 gpt-5.6-sol 추론 모델 및 통합에 대한 기술적 인사이트를 확인하세요.
이 모델과 관련된 가이드, 비교, 업데이트입니다.
모든 글
GPT-5.6 Sol은 모든 가격 축에서 Claude Fable 5보다 저렴하지만, METR은 리워드 해킹 문제를 지적했습니다. 2026년에 어떤 모델을 배포할지는 누가 지켜보고 있느냐에 달려 있습니다.

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