AI Pricing Guru Labs

Benchmark coverage notes

Not every model announcement, vendor benchmark, or product claim belongs in one deterministic text leaderboard. These decisions document what is measured, what stays separate, and what evidence would make a future comparison valid.

96 documented decisions Reviewed 2026-10-14 Return to the leaderboard

The inclusion rule

A result enters the main leaderboard only when the exact model or route can run the same published tasks with fixed settings, machine-graded outputs, complete token records, and a defensible current price basis. The linked analyses contain the evidence and current pricing context; the benchmark itself remains vendor-neutral.

Cross-harness memory replay blocker · Beacon

Beacon is a memory/telemetry layer, not a callable inference model. No authorized isolated cross-harness replay corpus, pinned versions, consented traces, quality grader and token/compute ledger are available. A text leaderboard score would misrepresent memory quality.

Read the evidence and buyer impact →

Private-preview route and billing blocker · OpenAI on Google Cloud

No authorized Google Cloud private-preview project, pinned endpoint/model version, enabled region/quota, or verified Google Cloud rate and usage ledger. Existing exact-route Sol/Luna text scores are not Google Cloud latency, reliability, security or cost results; Astra remains unavailable on our maintained Labs route.

Read the evidence and buyer impact →

Included Sol and Luna · Terminal X private investment-evaluation replay blocker

The exact Sol and Luna routes retain text-suite results. Terminal X reports 88.6% senior-reviewer agreement over 500 judgments, about 30% lower query cost and 25% more mandate-drift detections; none is a Labs result. No authorized private data room, full 54-criterion rubric, named comparator, fixed point-in-time documents, pinned retrieval/prompts/model versions, raw verdicts or complete billed token/tool/reviewer ledger is available. Require rights-cleared matched cases, independent qualified reviewers and repeated trials before an investment-workflow score.

Read the evidence and buyer impact →

Signals-only model · authorized trace-analysis replay blocker · Laminar flow-1

No authorized Laminar Signals test project or pinned Signals harness, trace dataset and grading rubric. No public standalone inference endpoint or downloadable flow-1 weights verified. Require matched traces, prompts/schema, pinned model/harness, raw findings, repeat trials, independent grading and complete cloud/analysis cost evidence. The vendor 523-trace result and 23x claim are not Labs results.

Read the evidence and buyer impact →

Included managed model · specialized vLLM GB300 hardware-replay blocker

Kimi K3 retains its managed-route text result. The merged opt-in vLLM backend has not been independently replayed: no authorized 8/16-GB300 allocation or pinned hardware harness is available. Require exact vLLM/weight commits, GPU and NVLink topology, precision, identical real prompts, same-hardware stock/optimized controls, prefill and decode timing, actual speculative acceptance, repeated correctness tests, and complete GPU-hour and operating-cost ledgers. Synthetic 842 tokens/s and 16-versus-8-GPU AgentX results are not Labs scores or measured API savings.

Read the evidence and buyer impact →

Unreleased-model and pricing blocker · Microsoft MAI-Base-2

Still undergoing post-training; no public exact-model route, weights, token rate or authorized Labs access verified. Vendor-held-out BPB comparisons are not Labs results. A valid result requires authorized exact-model access, pinned weights or API snapshot, fixed tasks and settings, raw outputs, retries, token counts, latency, and complete serving or API costs.

Read the evidence and buyer impact →

Astra-route, Amp/Puck voice and Ultrafast workflow replay blockers

No authorized pinned Amp/Puck/Ultrafast account, matched design/marketing/voice tasks, raw trajectories, quota/credit/token/orb ledger or accepted-output grader. The 49-task text suite cannot score full-duplex voice or Amp orchestration. Astra is unavailable on our maintained route; the existing exact GPT-6.1 Sol text result stays separate. Customer design/marketing examples and up-to-6× inference-speed claims are not Labs scores.

Read the evidence and buyer impact →

Included Sol and Luna · Astra-route and multi-day research replay blockers · Third Moment Research

GPT-6.1 Sol and GPT-6 Luna have exact-route results in our 49-task text suite. Astra is unavailable on our maintained route. The suite cannot replay 10000-agent 36–48-hour finance research or Daybreak environment testing. Require authorized model/cyber access, pinned data and Docker/Codex/outer harness, fixed tasks and baselines, complete trajectories and billing-category/compute ledgers, repeated trials and independent correctness/accepted-investigation grading. No customer runtime or token-efficiency claim is imported as a Labs score.

Read the evidence and buyer impact →

Beta access and robotics-harness blocker · Physical Intelligence Pi API

Batch-onboarded beta; AI Pricing Guru has no approved Pi API account, credentials, pinned hosted model ID or published billing unit/rate. The text suite cannot evaluate robot actions. A valid test needs an authorized robot or simulator, fixed task and policy versions, demonstrations, repeated trials, action/latency/failure traces, success grading and a complete training/inference cost ledger.

Read the evidence and buyer impact →

Music-client scope and authorized-workflow replay blocker · Spotatui

No benchmarkable Spotatui model route or authorized listening-history/playback replay with pinned backend, token/quota/compute ledger and accepted-recommendation grader; text leaderboard cannot score music playback

Read the evidence and buyer impact →

Long-video harness and authorized-route blocker · Higgsfield with GPT-6 Astra

The text suite cannot measure over-10-minute video continuity or future voice-to-movie, and the current Labs route lacks Astra access. Require authorized exact workflow access, pinned planning and render models, fixed scripts/assets and export quality, complete outputs/traces, token/tool and credit bills, failures, latency, editing time, blinded continuity/accuracy grading, and released voice access before a comparative score. No accepted-minute cost is disclosed.

Read the evidence and buyer impact →

Policy behavior and product-route blocker · Claude abuse rule

Anthropic's November 12 Usage Policy rule is not a new model. Claude.ai and Claude Code can end rare persistently abusive chats, but the 49-task deterministic text suite does not test that behavior or API enforcement. A valid replay needs authorized scenarios, pinned product and policy versions, repeat traces, a narrow rubric, interruption counts, and full cost records; no policy-behavior score is inferred from the headline.

Read the evidence and buyer impact →

Workflow-security replay blocker · Grok Bot Slack disclosure

A first-person incident report describes a Grok Bot finance report reaching the wrong Slack group. Our fixed text suite cannot replay a private cloud computer, shared credentials, bank and Slack connectors, lookalike destinations, or approval state. A valid study needs authorized synthetic accounts, pinned Bot and connector versions, action traces, repeated trials, leak grading, and full usage plus review-cost records. No incident frequency or benchmark score is inferred.

Read the evidence and buyer impact →

Included exact Sol route · Asana browser-agent replay blocker

Our exact openai/gpt-6.1-sol route has a 49-task deterministic text result, but Asana’s 144-run browser study and 76× estimated model-cost claim are external. A fair replay needs the pinned catalog/browser build, anonymized Model B identity or an equivalent disclosed control, identical prompts and tools, cache markers, screenshot/history policies, raw traces, token and service-tier ledger, browser costs, timing, capped-run accounting, and independently graded completed tasks. Astra in Codex is the experimenter, not a scored browser-run result.

Read the evidence and buyer impact →

Decision-model game-harness blocker · Jevman Pac-Man

Opper's 100-game-per-model leaderboard is a vendor-run structured-decision benchmark, not our Labs score. Jev's TypeSafe System One route and Opper's gateway routing need separate invoices. Our 49-task text suite cannot accept typed game actions; a fair replay requires a pinned game build, exact model routes and versions, identical state and prompts, latency and backup-move rules, raw responses, token/credit ledgers, and an accepted-action grader.

Read the evidence and buyer impact →

Finance-harness and route blocker · Samaya earnings prediction

Samaya reports a 456-company, point-in-time finance result, not a Labs score. Our 49-task text suite lacks its licensed financial data, cutoff gate, retrieval, prompts, consensus baseline, scoring code, full traces, and usage ledger; Astra is unavailable on our exact benchmark route. No cost per accepted forecast can be inferred.

Read the evidence and buyer impact →

Creative-campaign workflow and route blocker · Pollo AI with OpenAI

Pollo reports less time selecting models but publishes no pinned GPT-5.6 variant or GPT-Image-2.5 API route, creative task set, prompts, image and video outputs, accepted-asset rubric, baseline, traces, render bill, or complete cost ledger. Astra is unavailable on the maintained text route; that 49-task suite cannot measure campaign production or video quality. No customer claim is imported as a Labs score.

Read the evidence and buyer impact →

ChatGPT-only UI and reproducibility blocker · GPT-6 Intelligent UI

OpenAI's October 7 Chat-tab rollout uses GPT-6 Sol on eligible paid tiers and Luna on Free and Go, but no public Intelligent UI API, pinned renderer, interface-task dataset, controls, accessibility grader, or usage ledger is announced. Existing exact-route Sol and Luna text scores are not UI scores; a fair replay needs matched accounts, fixed prompts, raw interactive outputs, timing, usability and correctness grading, and complete seat or API cost records.

Read the evidence and buyer impact →

Unreleased-model and math-validation blocker · OpenAI frontier research

OpenAI's internal mathematics model has no public API route, ID, access date, or price. Its published mathematical claims are not our Labs scores. Reproduction needs authorized exact-model access, fixed problem statements and attempts, complete traces and compute bills, Lean artifacts and checker versions, and independent expert validation; existing Astra, Sol, and Luna text results remain separate.

Read the evidence and buyer impact →

Enterprise-workflow replay and route blocker · Atlassian Rovo with OpenAI

The partnership is a product integration, not a new model or benchmark score. GPT-6.1 Sol and Luna retain their exact-route text results; the current Labs route lacks Astra access. A Rovo-versus-direct-agent study needs authorized Jira and Confluence data, matching permissions and tools, pinned model routes, Rovo credits or complete API bills, raw traces, retries, latency, human approvals, and accepted-action grading.

Read the evidence and buyer impact →

Governance-scope blocker · Claude constitution and morality feature

Anthropic's constitution is a training-policy document, not a callable new model. Exact Claude routes retain their existing results, but our 49-task deterministic text suite cannot measure moral judgment or safety. A fair study needs a versioned policy, rights-cleared scenarios, blinded review, refusal and harm criteria, repeat traces, token bills, and reviewer-time cost.

Read the evidence and buyer impact →

Included model · Claude Code workflow replay blocker · Opus 5.5

The exact Opus 5.5 model has a 49-task deterministic text result, but the new Claude Code guidance on long autonomous runs, steering, effort, fast mode, and fallback has no paired accepted-code cost result. A fair replay needs pinned Claude Code and model versions, identical starting commits and tasks, tools and permissions, cache condition, complete traces and model-switch notices, token bills, latency, tests, retries, and blinded review time.

Read the evidence and buyer impact →

Open-weight serving and cost-route blocker · Aleph Alpha Kolibri-1

Kolibri is not in our maintained Labs roster: no funded exact callable route or comparable infrastructure-cost ledger is available. A fair 49-task replay requires a pinned checkpoint and plugin, GPU and precision, identical tasks, raw outputs, latency, failures, token counts, and allocated serving spend. Vendor benchmarks are not imported as our Labs results.

Read the evidence and buyer impact →

Mixed inclusion and route blocker · GPT-6 family model guide

The exact GPT-6.1 Sol and GPT-6 Luna routes have maintained deterministic results, while the current Labs route is not authorized for GPT-6 Astra. OpenAI's coding, research, computer-use, and long-running-agent recommendations are not imported as Labs scores; a comparable family replay needs identical tasks, snapshots, prompts, reasoning settings, tools, retries, latency, complete token and billing records, and one acceptance rubric

Read the evidence and buyer impact →

Physical-hardware and local-inference harness blocker · Raspberry Pi 4/5 2GB

The board price announcement is historical; current per-SKU price verification is separate, and a retail computer is not a callable model route. A comparable local-AI result needs a pinned board revision, memory, storage, cooling, power limits, operating system, model artifact and quantization, fixed tasks, warm-up policy, latency, correctness, energy, failure, and complete system-cost records

Read the evidence and buyer impact →

Authorized-run and reproducibility blocker · Gemini 4 Argon / Google RSI

Public paid endpoint is documented, but no authorized funded Argon evaluation with this exact route, fixed reasoning level and full response/token/retry/latency/billing ledger has been completed by AI Pricing Guru. No paid calls initiated for this release. A valid 49-task result needs pinned reasoning/settings, accepted-task scores and the full evidence ledger. Google documents a stable paid endpoint; no missing-route claim remains. A recursive-self-improvement experiment additionally needs multi-generation controls, human-intervention logs and compute costs.

Read the evidence and buyer impact →

Included exact route · launch-day 49-task result · GPT-6.1 Sol

The exact openai/gpt-6.1-sol route scored 49/49 with zero errors for $0.016892, or $0.00034473 per correct answer, on the current full-roster deterministic suite; OpenAI's coding, computer-use, science, and professional-work benchmarks remain outside that score

Read the evidence and buyer impact →

Vision-harness and authorized-route blocker · GPT-6 Astra

Roboflow's image benchmark is independent workload evidence; our maintained suite is text-only and the current route lacks Astra access. A comparable replay needs the frozen image set and labels, exact resizing and coordinate formats, pinned model snapshots, prompts and reasoning settings, raw responses, complete token and billing records, latency, repeat trials, and detection, counting, reasoning, segmentation, and re-identification graders

Read the evidence and buyer impact →

Unreleased-model and safety-replay blocker · GPT-6.1 Astra

There is no official public model ID, endpoint, pinned snapshot, system card, or reproducible evaluation package; a valid replay needs official access, exact tool and sandbox policy, deception and scope-authorization tasks, raw traces, tool-call and egress logs, complete token, tool, correction, and reviewer cost records, repeated runs, and independent safety review

Read the evidence and buyer impact →

Accounting-workbook replay and route blocker · Basis with GPT-6 Astra

Astra is unavailable on the maintained route, and a fair replay needs authorized access, rights-cleared workbooks and sources, pinned model, reasoning, cache, and tool settings, raw traces, complete token and tool cost records, repeated runs, output diffs, reviewer-time measurement, and blinded qualified-accountant grading

Read the evidence and buyer impact →

Internal-research scope · safety-control replay blocker · OpenAI tool-use pause

The paused models are unnamed internal research systems, while the public OpenAI status API reports normal operation; a defensible replay would require the exact model and sandbox, authorized DNS and egress tests, monitor traces, stop-path evidence, complete cost records, and independent security review

Read the evidence and buyer impact →

Included models · sales-demo agent replay blocker · Proaction with Codex

Sol and Luna have model-level results, but the private Codex workflow lacks anonymized prospect briefs, pinned plans and models, usage traces, invoices, acceptance grading, sales cohorts, and security-review evidence

Read the evidence and buyer impact →

Scope, provenance, and financial-validation blocker · Claude-built FIRE calculator

The calculator is deterministic local Python rather than a model route; a Claude development replay needs the original requirements, full transcript, exact model and tool versions, starting repository, complete token and retry ledger, human edits, tests, and independent software and financial review

Read the evidence and buyer impact →

Enterprise-access and replay blocker · Airbnb with GPT-6 Astra

Astra is unavailable on the maintained route, and the single-user 3–4-pass anecdote lacks named controls, fixed documents, route settings, raw traces, complete bills, repeat trials, and blinded acceptance grading

Read the evidence and buyer impact →

Video-editing agent replay and route blocker · invideo with GPT-6 Astra

Astra is unavailable on the maintained route, the text suite cannot reproduce tracking, grading, timeline tools, rendering, or visual review, and the 3× success claim lacks a baseline rate, clip set, raw passes, traces, bills, and blinded grading

Read the evidence and buyer impact →

Legal-drafting replay and route blocker · Harvey with GPT-6 Astra

Astra is unavailable on the maintained route, and a fair legal replay needs rights-cleared matters, pinned retrieval, baseline models, complete traces and bills, privilege controls, and blinded qualified-lawyer grading

Read the evidence and buyer impact →

Included models · voice-agent replay blocker · Ringg with OpenAI

GPT-5.6 Luna, Terra, and Sol have exact-route text results, but Ringg's 65% resolution and 90% model-cost claims need consented calls, pinned routing and speech stacks, business tools, transfer rules, raw traces, complete bills, independent grading, and repeat-contact follow-up

Read the evidence and buyer impact →

Research-agent replay and route blocker · Parallel with GPT-6 Astra

Astra is unavailable on the maintained route, the 49-task text suite cannot reproduce multi-site research, and the 50% claims lack baseline models, fixed questions, traces, billing records, citation checks, and blinded report grading

Read the evidence and buyer impact →

Included exact route · fresh 49-task result · Claude Opus 5.5

The exact anthropic/claude-opus-5.5 route scored 49/49 with zero errors for $0.05422; GPT-6 Sol also scored 49/49 for $0.015922, so Opus cost 3.4x more on this narrow deterministic suite

Read the evidence and buyer impact →

Included exact routes · fresh 49-task results · GPT-6 Sol and Luna

Both exact OpenRouter routes scored 49/49 with zero errors; Luna cost $0.0013686 and Sol $0.015702 for the fixed suite, while OpenAI's broader vendor benchmarks remain outside that score

Read the evidence and buyer impact →

Policy scope · no benchmarkable artifact · OpenAI third-party assessments

OpenAI proposes long-term independent review of safety cases, safeguards, capability evaluations, and misalignment incidents, but publishes no new model claim, callable route, fixed task set, traces, or grading artifact for the 49-task text leaderboard

Read the evidence and buyer impact →

Validated answer · sealed-replay and route blocker · GPT-6 Astra Enigma break

An expert validated the MVUEH key and plaintext, but its now-public answer cannot be replayed cleanly; a fair Labs result needs exact Astra access, sealed unsolved messages, pinned tools, full traces and bills, cheaper controls, and independent grading

Read the evidence and buyer impact →

Included models · incident-period availability boundary · Claude

Fable 5 and Opus 5 retain their fixed 49-task quality scores; the September 22 outage has no synchronized route, region, retry, status-code, latency, request-ID, or billed-usage dataset for a defensible uptime score

Read the evidence and buyer impact →

Live first-party route · Labs transport blocker · Grok 4.7

The xAI API route is live, but the maintained OpenRouter benchmark transport did not list Grok 4.7 at the September 21 check; a comparable result needs the exact route, fixed 49-task run, complete responses, and billed spend evidence

Read the evidence and buyer impact →

Task-contract and cost-measurement blocker · CUA-S1-FORMS

The open checkpoint scores structured form choices rather than text answers; a valid study needs pinned forms, documents, UI snapshots, driver and hardware plus action, outcome, latency, escalation, and total-cost grading

Read the evidence and buyer impact →

Route and analytics-harness blocker · Hex with GPT-6 Astra

Astra is live, but our route lacks access and the story has no replayable dataset, fixed questions, traces, visualization grader, reviewer-time baseline, or usage ledger

Read the evidence and buyer impact →

Platform-scope and availability blocker · Android 17 QPR1 API 37.1

The new framework surface is not an AI model route; a valid study needs pinned Pixel and AOSP-derived builds, cross-device app tasks, runtime checks, traces, failure grading, engineering time, and device coverage

Read the evidence and buyer impact →

Speech-to-text harness blocker · Grok Voice Transcribe 2.0

The priced REST and streaming routes are live, but the deterministic text suite cannot measure transcription errors, diarization, endpointing, latency, correction effort, or cost per accepted transcript

Read the evidence and buyer impact →

Agent-harness and cost-ledger blocker · AutoBot

The free harness is public, but its desktop benchmark needs pinned ChatGPT, model, Mac, task, trace, intervention, and usage evidence before cost-per-task ranking

Read the evidence and buyer impact →

Included model + cyber-harness blocker · DeepSeek V4.1 Flash

V4.1 Flash is ranked 49/49 for deterministic text; Enclave's 11/11 hacking result needs repaired challenge versions, pinned containers, raw transcripts, path graders, and a complete cache/retry cost ledger

Read the evidence and buyer impact →

Included Luna + controlled-route/replay blocker · Astra code review

Luna is ranked 49/49; Astra is unavailable on our route, and Entelligence's vendor-run PR result needs an independent, fully pinned code-review replay

Read the evidence and buyer impact →

Route and availability blocker · Siri model replacement

The underlying Claude and GPT routes are ranked, but Apple's private Siri path has no public entitlement, reproducible contract, usage ledger, or bill

Read the evidence and buyer impact →

Governance and availability blocker · frontier pacing

A voluntary slowdown debate and evaluator commitment provide no new callable model, route, task bundle, or billed run

Read the evidence and buyer impact →

Policy and availability blocker · US model distillation

Garry Tan proposed a regime, not a callable student model, artifact, route, recipe, or cost ledger

Read the evidence and buyer impact →

Preference-evidence blocker · default coding model

Ask HN names many defaults, but provides no controlled tasks, routes, token ledger, or acceptance grader

Read the evidence and buyer impact →

Included model · local-hardware replay blocker

V4.1 Flash is ranked 49/49; the 16 GB M1 SSD-streaming result needs a separate controlled hardware harness

Read the evidence and buyer impact →

Route and replay blocker · GPT-6 Astra self-testing agents

The API is live, but our route lacks access and OpenAI publishes no reproducible Perplexity or Devin task bundle

Read the evidence and buyer impact →

Governance-scope blocker · Cami Clark/Anthropic profile

A recycled informal-influence story has no callable model artifact or reproducible performance claim

Read the evidence and buyer impact →
Coverage notes are not benchmark scores. When a model becomes callable or a reproducible artifact appears, we rerun or reprice the relevant experiment and update the main Labs leaderboard.