GPT-6 Sol (Xhigh)
Context 1.1M tokens
Top 2 cheapest providers (Adjusted $/task)
The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.
Within the active global provider, residency and confidentiality filters.
| # | Provider | Price channel | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Azurevia OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/openai/gpt-6-sol/providers), collected 2026-11-05. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/openai/gpt-6-sol/providers), collected 2026-11-05. | $2.00 | $10.00 | |
| 2 | Amazon Bedrockvia OpenRouter — Price via OpenRouter: OpenRouter's price for Amazon Bedrock's endpoint (https://openrouter.ai/openai/gpt-6-sol/providers), collected 2026-11-05. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Amazon Bedrock's endpoint (https://openrouter.ai/openai/gpt-6-sol/providers), collected 2026-11-05. | $2.00 | $10.00 |
Composite
5 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one72.5
AA Coding v4.x —Coding Agent v1.4 —AA Intelligence (est.) 33.9AA Agentic —Epoch ECI 164.1Software ECI 163.0DesignArena 1220/1230
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
26 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
12 of 26 values are OpenAI's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.
- Epoch ECI · attached
- Software ECI · attached
- DesignArena Web Apps (agentic) · attached
- DesignArena Full-Stack · attached
Agentic
Terminal-Bench v4.0 (AA, upstream timeouts)4830.3%
Terminal-Bench v4.0 (AA, upstream timeouts) 4.0-upstream-timeouts → · Published board — Tests terminal-based work on the 66-task release using AA's mini-swe-agent harness with the tasks' own timeouts.
AutomationBench 1.0.6developer's claim33.2%† self-reported by the developer
AutomationBench 1.0.6 v1.0.6 → · Vendor-reported by OpenAI — AutomationBench 1.0.6 score OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
Agents' Last Exam V1developer's claim55.4%† self-reported by the developer
Agents' Last Exam V1 v1 → · Vendor-reported by OpenAI — Agents' Last Exam V1 score OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
OSWorld 2.0 offline (v2026.08.08 release)developer's claim60.5%† self-reported by the developer
OSWorld 2.0 offline (v2026.08.08 release) v2026.08.08 → · Vendor-reported by OpenAI — OSWorld 2.0 offline partial reward OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
Coding
SciCode (AA subproblems) v1.0.17955.1%
SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.
FrontierCode 1.1 Main (Cognition)developer's claim48.4%† self-reported by the developer
FrontierCode 1.1 Main (Cognition) v1.1 → · Codex — Whether a maintainer would merge the agent's pull request, on tasks crafted by open-source maintainers and graded with tests, rubrics and verifiers.
KernelBench-CUDA: DeepSeek NSA (RTX PRO 6000)03.76
KernelBench-CUDA: DeepSeek NSA (RTX PRO 6000) rtx-pro-6000 → · Published board — Implement DeepSeek’s Native Sparse Attention block (block top-n routing + sparse attention) as a CUDA kernel over a frozen shape sweep.
KernelBench-CUDA: GLM-5.2 Fused MoE (RTX PRO 6000)339.36
KernelBench-CUDA: GLM-5.2 Fused MoE (RTX PRO 6000) rtx-pro-6000 → · Published board — Fuse GLM-5.2’s MoE forward pass (256+shared experts, top-8 routing) as one CUDA kernel over a frozen shape sweep; Triton, vLLM and other DSLs are banned — CUDA/PTX/CUTLASS only.
KernelBench-CUDA: Grid MinGRU SPS (RTX PRO 6000)5764.5
KernelBench-CUDA: Grid MinGRU SPS (RTX PRO 6000) rtx-pro-6000 → · Published board — Non-LLM RL simulation: maximise simulation steps per second for a grid world with a MinGRU agent (roofline anchored at 150M peak SPS); fusion optional.
KernelBench-CUDA: MegaQwen Decode (RTX PRO 6000)333.98
KernelBench-CUDA: MegaQwen Decode (RTX PRO 6000) rtx-pro-6000 → · Published board — Improve the known MegaQwen CUDA megakernel geometry for decode-only token throughput at context lengths 2k–128k (roofline anchored on that decode-only tok/s ceiling); prefill is untimed.
DeepSWE v1.1developer's claim66.6%† self-reported by the developer
DeepSWE v1.1 v1.1 → · Vendor-reported by OpenAI — DeepSWE v1.1 score OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
FrontierCode 1.1 Extended (Cognition)developer's claim59.1%† self-reported by the developer
FrontierCode 1.1 Extended (Cognition) v1.1 → · Codex — Whether a maintainer would merge the agent's pull request, on the full 150-task FrontierCode set crafted by open-source maintainers and graded with tests, rubrics and verifiers.
Efficiency
FrontierCode 1.1 Main cost per rollout (Cognition)developer's claim$1.32† self-reported by the developer
FrontierCode 1.1 Main cost per rollout (Cognition) v1.1 → · Codex — Cognition's published mean USD spend per rollout for each FrontierCode 1.1 Main model and reasoning effort.
AutomationBench 1.0.6 cost per taskdeveloper's claim$0.27† self-reported by the developer
AutomationBench 1.0.6 cost per task v1.0.6 → · Published board — USD cost per AutomationBench 1.0.6 task OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
Cost to run AA Intelligence Index (total) v4.3.248$865
Cost to run AA Intelligence Index (total) v4.3.2 → · Published board — Cost to run AA Intelligence Index (total) results published by Artificial Analysis.
Cost per AA Intelligence Index task v4.3.2520.53
Cost per AA Intelligence Index task v4.3.2 → · Published board — Cost per AA Intelligence Index task results published by Artificial Analysis.
FrontierCode 1.1 Extended cost per rollout (Cognition)developer's claim$1.11† self-reported by the developer
FrontierCode 1.1 Extended cost per rollout (Cognition) v1.1 → · Codex — Cognition's published mean USD spend per rollout for each FrontierCode 1.1 Extended model and reasoning effort.
Agents' Last Exam V1 cost per taskdeveloper's claim$1.67† self-reported by the developer
Agents' Last Exam V1 cost per task v1 → · Published board — USD cost per Agents' Last Exam V1 task OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
DeepSWE v1.1 cost per taskdeveloper's claim$1.00† self-reported by the developer
DeepSWE v1.1 cost per task v1.1 → · Published board — USD cost per DeepSWE v1.1 task OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
OSWorld 2.0 offline (v2026.08.08 release) cost per taskdeveloper's claim$2.21† self-reported by the developer
OSWorld 2.0 offline (v2026.08.08 release) cost per task v2026.08.08 → · Published board — USD cost per OSWorld 2.0 offline (v2026.08.08 release) task OpenAI reports for its own GPT-6 models in the 2026-09-22 GPT-6 Sol and Luna launch post.
Knowledge
Humanity's Last Exam (AA text-only)9546.3%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index9426.7
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.19281.3%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Science
CritPt (AA)9628.0%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
Tool-use
AutomationBench-AA v1.0.69261.7%
AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.
Vision
MMMU Pro (AA)9182.4%
MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.
Unusual results
1 threshold-crossing signal flagged · 7 eligible benchmark families
How flags are calculated
Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.
- unusually strong CritPt (AA) published 2026-09-10
Why
Observed: 0.28 fractionPeer mean 0.04412 · peer sd 0.08179 · n 537 · families 370Directed z 2.884 · baseline z 1.375 · gap 1.509 · profile n 60.28 fractionmeasuredobserved 2026-09-22artificialanalysis.ai ↗Evidence
Axis: CritPt (AA) · published 2026-09-10 · Published boardExact value:0.28fractionObserved: 2026-09-22T22:47:42.063569+00:00 · publication date: not recordedObservation id:cr128:b1611b95b43f3a58f000f511
Missing coverage · 293 benchmark versions
No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.
Variants / reasoning settings
Artificial Analysis snapshot 2026-11-04 · Intelligence Index v5.0 (est. = estimated from v4, not measured) · Coding Index v4.x frozen 2026-10-27 · Data: Artificial Analysis · Data: Epoch AI (CC BY)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| GPT-6 Sol (Max) | — | 44.2 |
| GPT-6 Sol (High) | — | 32.7est. |
| GPT-6 Sol (Low) | — | 24.0est. |
| GPT-6 Sol (Medium) | — | 30.1est. |
| GPT-6 Sol (Non-reasoning) | — | 17.8est. |
| GPT-6 Sol (Xhigh) | — | 33.9est. |
SUBSCRIPTION PLAN
GitHub Copilot
Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.
Token offers by platform · 5 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
5 offers within the active global filters, 2 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.
OpenRouter (5)
Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/openai/gpt-6-sol/providers, collected 2026-11-05.
| Azureconditional | globalazure | $2.00 raw in $/1M | $10.00 raw out $/1M | |
| Azureconditional | euazure/euEU | $2.20 raw in $/1M | $11.00 raw out $/1M | |
| Azureconditional | globalazure/us | $2.20 raw in $/1M | $11.00 raw out $/1M | |
| Amazon Bedrockconditional | globalamazon-bedrock/global | $2.00 raw in $/1M | $10.00 raw out $/1M | |
| Amazon Bedrockconditional | globalamazon-bedrock/us-east-1 | $2.20 raw in $/1M | $11.00 raw out $/1M |