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LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Public recommendation prompt in the Rank.ai AI API Brands benchmark.
A current roll-up of published ranks, normalized facts, primary evidence, and entity relationships. No missing value is inferred.
| Metric | Value | As of | Evidence | Confidence |
|---|---|---|---|---|
| public_prompt_insightsCross-engine brand disagreement | 60.1 percentderived | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct citation URLs | 16 urlsmeasured | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct reviewed brands surfaced | 11 brandsmeasured | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsLeading-brand engine consensus | 100 percentderived | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsReviewed-brand presence events | 21 presence_eventsmeasured | Jul 27, 2026 | Rank.ai Public Prompt Benchmark ↗Grade A | 100% |
Every currently published position, joined to its snapshot, confidence, and methodology version.
| Rank | Leaderboard | Score | Movement | Confidence | As of | Method | Open explanation |
|---|---|---|---|---|---|---|---|
| #5 | Prompt Brand Leadersai-prompt-brand-leaders | 100 | — | 100% | Jul 27, 2026 | v1-4-ai-model-api-platforms-2026-07-26-models-64232fd32583 | Explain → |
| #9 | AI Engine Disagreement by Promptai-prompt-engine-disagreement | 60.1 | — | 100% | Jul 27, 2026 | v1-4-ai-model-api-platforms-2026-07-26-models-64232fd32583 | Explain → |
Derives prompt-level brand leaders and cross-engine brand-set disagreement from the complete public Rank.ai benchmark cohort.
Some explanation inputs are unavailable Missing: comparablePriorRanking.
| Component | Value | Weight | Contribution | Evidence | Status |
|---|---|---|---|---|---|
| public prompt brand presence events | 21 | 0% | — | 1 | available |
| public prompt citation urls | 16 | 0% | — | 1 | available |
| public prompt distinct reviewed brands | 11 | 0% | — | 1 | available |
10 published observations for What are the most cost-effective LLM API providers at scale?. Open a row for the source, evidence location, extraction method, and quality state.
| Metric | Value | Kind | As of | Confidence | Evidence |
|---|---|---|---|---|---|
| Leading-brand engine consensuspublic-prompt-leading-brand-consensus | 100percent | derived | Jul 27, 2026 | 100% | View source
|
| Cross-engine brand disagreementpublic-prompt-engine-disagreement | 60.101percent | derived | Jul 27, 2026 | 100% | View source
|
| public prompt engine disagreement | 60.10101 | 0% | — | 1 | available |
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| public prompt leading brand consensus | 100 | 100% | 100 | 1 | available |
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methodology_changed
The methodology changed from the prior snapshot; movement is not directly comparable.
No comparable component drivers were published.
{"promptSlug":"cost-effective-model-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["beff03e4-50f5-4e86-802e-1e86552edc24","6765a84a-7905-4799-9a47-bc8c4b5cebae","d735c89c-365f-44e3-897e-e9143bd95130"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"cost-effective-model-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["beff03e4-50f5-4e86-802e-1e86552edc24","6765a84a-7905-4799-9a47-bc8c4b5cebae","d735c89c-365f-44e3-897e-e9143bd95130"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"cost-effective-model-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["beff03e4-50f5-4e86-802e-1e86552edc24","6765a84a-7905-4799-9a47-bc8c4b5cebae","d735c89c-365f-44e3-897e-e9143bd95130"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"cost-effective-model-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["beff03e4-50f5-4e86-802e-1e86552edc24","6765a84a-7905-4799-9a47-bc8c4b5cebae","d735c89c-365f-44e3-897e-e9143bd95130"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"cost-effective-model-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["beff03e4-50f5-4e86-802e-1e86552edc24","6765a84a-7905-4799-9a47-bc8c4b5cebae","d735c89c-365f-44e3-897e-e9143bd95130"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}{"promptSlug":"cost-effective-model-api","corpusVersion":"ai-model-api-platforms-2026-07-26","runArtifactIds":["beff03e4-50f5-4e86-802e-1e86552edc24","6765a84a-7905-4799-9a47-bc8c4b5cebae","d735c89c-365f-44e3-897e-e9143bd95130"],"parentSnapshotId":"6078eb80-2fb9-4d60-a6a6-94f2aaac061d","providerMatrixVersion":"64232fd32583"}| Distinct reviewed brands surfacedpublic-prompt-distinct-reviewed-brands | 11brands | measured | Jul 27, 2026 | 100% | View source
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| Distinct citation URLspublic-prompt-citation-urls | 16urls | measured | Jul 27, 2026 | 100% | View source
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| Reviewed-brand presence eventspublic-prompt-brand-presence-events | 21presence_events | measured | Jul 27, 2026 | 100% | View source
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| Reviewed-brand presence eventspublic-prompt-brand-presence-events | 21presence_events | measured | Jul 27, 2026 | 100% | View source
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| Cross-engine brand disagreementpublic-prompt-engine-disagreement | 60.101percent | derived | Jul 27, 2026 | 100% | View source
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| Distinct reviewed brands surfacedpublic-prompt-distinct-reviewed-brands | 11brands | measured | Jul 27, 2026 | 100% | View source
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| Leading-brand engine consensuspublic-prompt-leading-brand-consensus | 100percent | derived | Jul 27, 2026 | 100% | View source
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| Distinct citation URLspublic-prompt-citation-urls | 16urls | measured | Jul 27, 2026 | 100% | View source
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