GPT-6.1 Sol is a OpenAI closed-API frontier model. CompareLLM Coding Estimated rating is 1640. Active context window extends to 1.1M tokens. Commercial API token pricing is listed at $2/1M tok input and $10/1M tok output per 1M tokens. OpenAI's September 29 update to GPT-6 Sol for coding, computer use and professional work. Numbers below are dated snapshots from empirical benchmark harnesses.
Independent evaluation answering: "Is GPT-6.1 Sol the right model for your workload & budget?"
Listed output price $10.00/1M tokens. Quality is the category rating above, not this price.
Dated snapshot metrics aggregated from official evaluators and API providers with visual relative score bars.
Our category lists (Coding, Reasoning, Chat, Agents). Named suites such as SWE-bench Pro are recipe inputs, not this rating.
LMArena, SWE-bench Pro, LiveBench and similar suites appear with a source and as-of date. They are not CompareLLM's rating.
How much of the recipe is present. Missing inputs stay missing; they are never filled with 0 or 50.
Compact streaming class. Exact tok/s stays in the fact sheet, not in compact cells.
Compact class for time-to-first-token. Exact milliseconds stay in the fact sheet.
Commercial API price per 1 Million prompt/output tokens (~750k words).
| Benchmark Metric & Meaning | Reported Score & Capability Fill | CompareLLM Review |
|---|---|---|
Maximum output (tokens) Maximum Response Length | 128k tokens | Source not recorded · Oct 4, 2026Provider-documented standard API capacity for this exact SKU; optional beta output settings excluded. |
Output token price Cost to Generate (Output tokens) | $10/1M tok | Source not recorded · Oct 4, 2026Standard API, prompts at most 272K input tokens. Above that, input/cache rates double and output is 1.5x; Fast, Batch, Flex and regional tiers differ. |
Cached input token price Cost to Reuse Cached Input | $0.1/1M tok | Source not recorded · Oct 4, 2026Standard API, prompts at most 272K input tokens. Above that, input/cache rates double and output is 1.5x; Fast, Batch, Flex and regional tiers differ. |
Input token price Cost to Prompt (Input tokens) | $2/1M tok | Source not recorded · Oct 4, 2026Standard API, prompts at most 272K input tokens. Above that, input/cache rates double and output is 1.5x; Fast, Batch, Flex and regional tiers differ. |
Context window (tokens) Context Window Capacity (tokens) | 1.1M tokens | Source not recorded · Oct 4, 2026Provider-documented standard API capacity for this exact SKU; optional beta output settings excluded. |
Peers in the same closed API frontier performance tier — not a jump to an unrelated frontier SKU.
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Compare GPT-6.1 Sol against
Models may use different benchmarks and test settings. This is an indicative composite, not a controlled head-to-head comparison or community Elo. Admin-approved sentiment estimates fill categories without accepted benchmark results. Estimates are labelled and do not increase benchmark coverage. Coverage refers to the configured recipe, not confidence.
Release latest-models-estimated-2026-10-04-r1 · recipe reported-text-2026-09-11-r1 · method reported-with-estimates-v2 · research through 2026-10-04
Overall benchmark coverage includes missing applicable categories. Estimated categories contribute to the rating but add no benchmark coverage.
Low-confidence editorial estimate (local-comparator-interpolation-v1). Artificial Analysis Intelligence Index v4.3.2: GPT-6.1 Sol 52 (max), GPT-6 Sol 48 (max), Claude Opus 5.5 58 (max with default fallback), checked 2026-10-04. Interpolation fraction 0.4; this category's existing comparator estimates are 62 and 66, so round(62 + 0.4 * (66 - 62)). These comparator category scores come from recent-models-2026-09-23-r1. The composite is an ordering anchor, not a measurement of this category; especially writing, chat and vision transfer is uncertain. Not default-effort evidence or a CompareLLM test. Benchmark coverage remains zero; accepted sufficient benchmark evidence replaces the estimate.
As of 2026-10-04 · review on 2026-11-04 · Editorial estimate (not a benchmark result)
Sentiment source 1 →Sentiment source 2 →Sentiment source 3 →Missing benchmark families: repository-engineering, terminal-work, frontiercode.
Low-confidence editorial estimate (local-comparator-interpolation-v1). Artificial Analysis Intelligence Index v4.3.2: GPT-6.1 Sol 52 (max), GPT-6 Sol 48 (max), Claude Opus 5.5 58 (max with default fallback), checked 2026-10-04. Interpolation fraction 0.4; this category's existing comparator estimates are 68 and 72, so round(68 + 0.4 * (72 - 68)). These comparator category scores come from recent-models-2026-09-23-r1. The composite is an ordering anchor, not a measurement of this category; especially writing, chat and vision transfer is uncertain. Not default-effort evidence or a CompareLLM test. Benchmark coverage remains zero; accepted sufficient benchmark evidence replaces the estimate.
As of 2026-10-04 · review on 2026-11-04 · Editorial estimate (not a benchmark result)
Sentiment source 1 →Sentiment source 2 →Sentiment source 3 →Missing benchmark families: graduate-science, advanced-mathematics, broad-academic, interactive-abstraction.
Low-confidence editorial estimate (local-comparator-interpolation-v1). Artificial Analysis Intelligence Index v4.3.2: GPT-6.1 Sol 52 (max), GPT-6 Sol 48 (max), Claude Opus 5.5 58 (max with default fallback), checked 2026-10-04. Interpolation fraction 0.4; this category's existing comparator estimates are 68 and 72, so round(68 + 0.4 * (72 - 68)). These comparator category scores come from recent-models-2026-09-23-r1. The composite is an ordering anchor, not a measurement of this category; especially writing, chat and vision transfer is uncertain. Not default-effort evidence or a CompareLLM test. Benchmark coverage remains zero; accepted sufficient benchmark evidence replaces the estimate.
As of 2026-10-04 · review on 2026-11-04 · Editorial estimate (not a benchmark result)
Sentiment source 1 →Sentiment source 2 →Sentiment source 3 →Missing benchmark families: constrained-story-writing, instruction-compliance.
Low-confidence editorial estimate (local-comparator-interpolation-v1). Artificial Analysis Intelligence Index v4.3.2: GPT-6.1 Sol 52 (max), GPT-6 Sol 48 (max), Claude Opus 5.5 58 (max with default fallback), checked 2026-10-04. Interpolation fraction 0.4; this category's existing comparator estimates are 65 and 66, so round(65 + 0.4 * (66 - 65)). These comparator category scores come from recent-models-2026-09-23-r1. The composite is an ordering anchor, not a measurement of this category; especially writing, chat and vision transfer is uncertain. Not default-effort evidence or a CompareLLM test. Benchmark coverage remains zero; accepted sufficient benchmark evidence replaces the estimate.
As of 2026-10-04 · review on 2026-11-04 · Editorial estimate (not a benchmark result)
Sentiment source 1 →Sentiment source 2 →Sentiment source 3 →Missing benchmark families: professional-computer-tasks, desktop-use, workflow-automation, web-research.
Low-confidence editorial estimate (local-comparator-interpolation-v1). Artificial Analysis Intelligence Index v4.3.2: GPT-6.1 Sol 52 (max), GPT-6 Sol 48 (max), Claude Opus 5.5 58 (max with default fallback), checked 2026-10-04. Interpolation fraction 0.4; this category's existing comparator estimates are 68 and 72, so round(68 + 0.4 * (72 - 68)). These comparator category scores come from recent-models-2026-09-23-r1. The composite is an ordering anchor, not a measurement of this category; especially writing, chat and vision transfer is uncertain. Not default-effort evidence or a CompareLLM test. Benchmark coverage remains zero; accepted sufficient benchmark evidence replaces the estimate.
As of 2026-10-04 · review on 2026-11-04 · Editorial estimate (not a benchmark result)
Sentiment source 1 →Sentiment source 2 →Sentiment source 3 →Missing benchmark families: conversation-quality, support-task-completion, instruction-compliance.
Low-confidence editorial estimate (local-comparator-interpolation-v1). Artificial Analysis Intelligence Index v4.3.2: GPT-6.1 Sol 52 (max), GPT-6 Sol 48 (max), Claude Opus 5.5 58 (max with default fallback), checked 2026-10-04. Interpolation fraction 0.4; this category's existing comparator estimates are 68 and 72, so round(68 + 0.4 * (72 - 68)). These comparator category scores come from recent-models-2026-09-23-r1. The composite is an ordering anchor, not a measurement of this category; especially writing, chat and vision transfer is uncertain. Not default-effort evidence or a CompareLLM test. Benchmark coverage remains zero; accepted sufficient benchmark evidence replaces the estimate.
As of 2026-10-04 · review on 2026-11-04 · Editorial estimate (not a benchmark result)
Sentiment source 1 →Sentiment source 2 →Sentiment source 3 →Missing benchmark families: visual-grounding, spatial-reconstruction, visual-symbol-recognition.
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gpt-6.1-solConcise empirical overview formatted for citations and prompt context
Plain-English methodology and leaderboard answers
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7 of 8 dimensions have ranking-eligible evidence. Missing axes are not converted to zero.
Ranks in the top tier (≥75th percentile) for Context.
