GPT-6 Sol API model profile

Profile facts

Profile type

Kendr API model

Kendr API alias

kc-gpt-6-sol

Model developer

OpenAI

Kendr route provider

OpenAI

Context window

1.05M

Snapshot date

2026-10-13

Knowledge cutoff

Not disclosed

Reference catalog ID

openai/gpt-6-sol

When to pick GPT-6 Sol

GPT-6 Sol is worth reaching for when you need a route scoring in the top quarter on the published intelligence index and carrying one of the widest context windows in the catalog. The conditions below are the ones its own numbers support.

Each condition below is derived from this model's own values in the 2026-10-13 snapshot, compared only against models publishing the same field.

• Reach for it when a whole corpus has to fit in one prompt. The 1.05M-token context window is in the top quarter of the 167 models publishing a limit here, so long documents can go in whole rather than chunked.
• Reach for it when answer quality matters more than unit cost. It scores 47.6 on the Artificial Analysis intelligence index, above three quarters of the 119 models carrying that field in the 2026-10-13 snapshot.
• Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
• Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.

Context, modalities, and identity

GPT-6 Sol accepts file, image, and text and returns text. The snapshot records agentic, coding, file input, prompt caching, reasoning, reasoning controls, structured output, text generation, tool calling, tools, vision, web search, and web search pricing as capabilities or interfaces.

Model developer

OpenAI

Kendr route provider

OpenAI

Context window

1.05M

Maximum output

128,000 tokens

Input modalities

file, image, and text

Output modalities

text

Knowledge cutoff

Not disclosed

Model overview

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

Reference model ID

openai/gpt-6-sol

Canonical version

openai/gpt-6-sol-20260922

Hugging Face ID

Not separately documented

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters

include_reasoning, max_completion_tokens, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, tool_choice, tools, verbosity

• agentic
• coding
• file input
• prompt caching
• reasoning
• reasoning controls
• structured output
• text generation
• tool calling
• tools
• vision
• web search
• web search pricing

Dated pricing snapshot

The dated reference snapshot lists $1 input and $5 output per million tokens. Cached input is $0.1 per million tokens. The separately published provider-route reference is $2 / $10 (Standard global inference, ≤272K input; live route quote applies).

Reference figures are dated 2026-10-13; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

Price date

2026-10-13

Input

$1 per 1M tokens

Cached input

$0.1 per 1M tokens

Output

$5 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 7 provider endpoints. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

7

Best p50 latency

1.73 s

Best p50 throughput

69 tok/s

Availability with routing

99.75% over the sampled window

Availability without routing

99.40% over the sampled window

Performance date

2026-10-13

Benchmark evidence and limitations

The 2026-10-13 snapshot includes 1 Artificial Analysis index and AutoExacto results for 6 provider observations. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index

47.6

AutoExacto coverage

6 provider observations over 32 days

AutoExacto provider benchmarks

Rolling provider observations from the cited third-party benchmark view. The lookback is 32 days; GPQA Diamond and TAU-Bench Airline measure different abilities and should not be blended into one score.

Popularity and market context

GPT-6 Sol ranked #33 in the cited trailing-7-day third-party catalog usage dataset as of 2026-10-13. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#33

Global market share

Not inferred

Observation date

2026-10-13

OpenAI-compatible API example

This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.

curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kc-gpt-6-sol","messages":[{"role":"user","content":"Hello"}]}'

Frequently asked questions

Sources and evidence dates

1. GPT-6 Sol third-party catalog record (catalog, checked 2026-10-13)
2. Third-party model catalog methodology (methodology, checked 2026-10-13)
3. OpenAI official model documentation (primary, checked 2026-10-13)
4. Artificial Analysis capability indices methodology (benchmark, checked 2026-10-13)
5. GPT-6 Sol third-party catalog record (benchmark, checked 2026-10-13)
6. GPT-6 Sol provider or route reference (primary, checked 2026-10-13)