merge: console enso leaderboard + reported-vs-measured source toggle

This commit is contained in:
hanzo-dev
2026-07-21 15:04:25 -07:00
4 changed files with 327 additions and 32 deletions
@@ -10,9 +10,14 @@
* Every row shows the score AND ITS SOURCE, because they are not the same kind of
* number: `hanzo-measured` is our own harness through api.hanzo.ai (what the router
* actually gets), while the provider- and third-party-reported figures are context
* measured on someone else's harness at someone else's effort setting. Collapsing
* those into one "score" column without provenance would be quietly dishonest, so the
* source rides along and `hanzo-measured` is badged.
* measured on someone else's harness at someone else's effort setting. The Source
* toggle filters the two apart — the honest transparency this surface exists for —
* and every row is badged by its class (Enso · Hanzo-measured · reported).
*
* The Enso family (enso-flash / enso / enso-ultra) is our own product; it ranks in
* the table on merit like every other model — never floated to the top — and the
* tier strip above places the three tiers side by side, monotonic and priced, from
* the same corpus numbers.
*
* Models with no published score on the selected benchmark are OMITTED, never shown
* as zero — an absent measurement is not a bad measurement.
@@ -25,9 +30,13 @@ import {
BENCHMARK_IDS,
benchmarkLabel,
coverage,
isEnsoModel,
leaderboard,
priorFor,
sourceClass,
vendors,
type Ranked,
type SourceClass,
} from '~/lib/api/benchmarks'
import { DataTable, type Column } from '~/components/ui/DataTable'
import { ProviderLogo } from '~/components/ui/ProviderLogo'
@@ -37,28 +46,34 @@ const TNUM = 'hz-tnum'
const ALL = '__all__'
/** The Source filter: all rows, only our harness, or only vendor/third-party. */
type SrcFilter = 'all' | SourceClass
const SRC_OPTIONS: { key: SrcFilter; label: string }[] = [
{ key: 'all', label: 'All' },
{ key: 'measured', label: 'Hanzo-measured' },
{ key: 'reported', label: 'Vendor-reported' },
]
/** The default benchmark: the one the corpus covers most broadly. */
const defaultBenchmark = (): string =>
BENCHMARK_IDS.slice().sort((a, b) => coverage(b) - coverage(a))[0] ?? BENCHMARK_IDS[0] ?? ''
/** A quiet chip. `tone="measured"` marks our own harness — the number we trust most. */
function Chip({ label, tone = 'muted' }: { label: string; tone?: 'muted' | 'measured' }) {
/**
* A quiet class chip. `enso` marks our own orchestrated family (Hanzo red),
* `measured` marks our own harness (green) — the numbers we trust most — and
* `muted` carries a reported source string verbatim.
*/
function Chip({ label, tone = 'muted' }: { label: string; tone?: 'muted' | 'measured' | 'enso' }) {
const bg = tone === 'enso' ? '$red3' : tone === 'measured' ? '$green3' : '$color3'
const color = tone === 'enso' ? '$red11' : tone === 'measured' ? '$green11' : '$color11'
return (
<Text
fontSize="$1"
px="$2"
py="$1"
rounded="$2"
bg={tone === 'measured' ? '$green3' : '$color3'}
color={tone === 'measured' ? '$green11' : '$color11'}
numberOfLines={1}
>
<Text fontSize="$1" px="$2" py="$1" rounded="$2" bg={bg} color={color} numberOfLines={1}>
{label}
</Text>
)
}
/** A horizontally scrolling row of selector pills (benchmarks, vendors). */
/** A horizontally scrolling row of selector pills (benchmarks, vendors, source). */
function PillRow({
options,
value,
@@ -88,9 +103,83 @@ function PillRow({
)
}
/**
* The three Enso tiers, side by side and monotonic in quality (Ultra > Pro > Flash),
* priced. Every number is read from the SAME corpus the table ranks on — no separate
* marketing figures — so the strip renders only when all three tiers carry a
* GPQA-Diamond score (they do once the enso family is synced in). Pro is marked as the
* balanced default. An honest surface: no projected numbers, no fabricated #1.
*/
const ENSO_TIERS: { id: string; name: string; note: string; isDefault?: boolean }[] = [
{ id: 'enso-flash', name: 'Enso Flash', note: 'Cheapest — high-volume, escalate only if needed' },
{ id: 'enso', name: 'Enso Pro', note: 'The balanced default — routed to the best-fit model per request', isDefault: true },
{ id: 'enso-ultra', name: 'Enso Ultra', note: 'Maximum verified quality — adaptive fan-out on the hardest problems' },
]
function EnsoTiers({ benchmark }: { benchmark: string }) {
// Prefer the selected benchmark; fall back to GPQA-Diamond (the tiers' shared
// headline) so the strip is populated even when the table is on another benchmark.
const tiers = ENSO_TIERS.map((t) => {
const prior = priorFor(t.id)
const score = prior?.scores[benchmark] ?? prior?.scores.gpqa_diamond ?? null
const bench = prior?.scores[benchmark] ? benchmark : 'gpqa_diamond'
return { ...t, score, benchLabel: benchmarkLabel(bench), price: prior?.price ?? null }
})
// Honest: only render if the corpus actually carries the family (post-sync).
if (tiers.some((t) => t.score == null)) return null
return (
<YStack gap="$2">
<Text fontSize="$1" color="$color10">
The Enso tiers one price/quality contract each, from the corpus below
</Text>
<XStack gap="$2.5" flexWrap="wrap">
{tiers.map((t) => (
<YStack
key={t.id}
flex={1}
minW={190}
gap="$1.5"
p="$3"
rounded="$4"
borderWidth={1}
borderColor={t.isDefault ? '$red7' : '$borderColor'}
bg="$color1"
>
<XStack items="center" gap="$2" justify="space-between">
<Text fontSize="$3" fontWeight="700" color="$color12">
{t.name}
</Text>
{t.isDefault ? <Chip label="default" tone="enso" /> : null}
</XStack>
<XStack items="baseline" gap="$2">
<Text className={TNUM} fontSize="$7" fontWeight="800" color="$color12">
{t.score!.value.toFixed(1)}
</Text>
<Text fontSize="$1" color="$color10">
{t.benchLabel}
</Text>
</XStack>
<XStack items="center" gap="$2" flexWrap="wrap">
<Text className={TNUM} fontSize="$2" color="$color11">
{t.price == null ? '—' : `$${t.price.toFixed(2)}/M blended`}
</Text>
<Chip label="Hanzo-measured" tone="measured" />
</XStack>
<Text fontSize="$1" color="$color10" numberOfLines={2}>
{t.note}
</Text>
</YStack>
))}
</XStack>
</YStack>
)
}
export function LeaderboardView() {
const [benchmark, setBenchmark] = useState<string>(defaultBenchmark)
const [vendor, setVendor] = useState<string>(ALL)
const [src, setSrc] = useState<SrcFilter>('all')
// Only offer benchmarks the corpus actually covers — a benchmark with zero scored
// models is not a view worth selecting.
@@ -106,8 +195,13 @@ export function LeaderboardView() {
const ranked = useMemo(() => leaderboard(benchmark), [benchmark])
const rows = useMemo(
() => (vendor === ALL ? ranked : ranked.filter((r) => r.vendor === vendor)),
[ranked, vendor],
() =>
ranked.filter(
(r) =>
(vendor === ALL || r.vendor === vendor) &&
(src === 'all' || sourceClass(r.score.source) === src),
),
[ranked, vendor, src],
)
const vendorOptions = useMemo(
@@ -115,7 +209,7 @@ export function LeaderboardView() {
[],
)
const measured = rows.filter((r) => r.score.source === 'hanzo-measured').length
const measured = rows.filter((r) => sourceClass(r.score.source) === 'measured').length
const columns: Column<Ranked>[] = [
{
@@ -139,6 +233,7 @@ export function LeaderboardView() {
<Text fontSize="$3" color="$color12" numberOfLines={1}>
{r.model}
</Text>
{isEnsoModel(r.model) ? <Chip label="Enso" tone="enso" /> : null}
</XStack>
),
},
@@ -169,7 +264,9 @@ export function LeaderboardView() {
header: 'Source',
width: 190,
render: (r) =>
r.score.source === 'hanzo-measured' ? (
isEnsoModel(r.model) ? (
<Chip label="Enso · measured" tone="enso" />
) : sourceClass(r.score.source) === 'measured' ? (
<Chip label="Hanzo-measured" tone="measured" />
) : (
<Text fontSize="$1" color="$color10" numberOfLines={1}>
@@ -195,9 +292,11 @@ export function LeaderboardView() {
<YStack gap="$3.5">
<PageHeader
title="Leaderboard"
subtitle="Published benchmark scores from the enso-bench prior corpus. Every score carries its source; models without a published score on the selected benchmark are not listed."
subtitle="Published benchmark scores from the enso-bench prior corpus. Vendors report on their own harness; we measure everyone on one — toggle Source to see which is which. Models without a published score on the selected benchmark are not listed."
/>
<EnsoTiers benchmark={benchmark} />
<YStack gap="$2">
<Text fontSize="$1" color="$color10">
Benchmark
@@ -205,6 +304,13 @@ export function LeaderboardView() {
<PillRow options={benchOptions} value={benchmark} onSelect={setBenchmark} />
</YStack>
<YStack gap="$2">
<Text fontSize="$1" color="$color10">
Source
</Text>
<PillRow options={SRC_OPTIONS} value={src} onSelect={(k) => setSrc(k as SrcFilter)} />
</YStack>
<YStack gap="$2">
<Text fontSize="$1" color="$color10">
Vendor
@@ -225,9 +331,13 @@ export function LeaderboardView() {
rows={rows}
rowKey={(r) => r.model}
empty={
vendor === ALL
? `No published scores for ${benchmarkLabel(benchmark)} in the corpus.`
: `No ${vendor} model has a published ${benchmarkLabel(benchmark)} score in the corpus.`
src === 'measured'
? `No Hanzo-measured ${benchmarkLabel(benchmark)} score${vendor === ALL ? '' : ` for ${vendor}`} in the corpus.`
: src === 'reported'
? `No vendor-reported ${benchmarkLabel(benchmark)} score${vendor === ALL ? '' : ` for ${vendor}`} in the corpus.`
: vendor === ALL
? `No published scores for ${benchmarkLabel(benchmark)} in the corpus.`
: `No ${vendor} model has a published ${benchmarkLabel(benchmark)} score in the corpus.`
}
/>
+109 -9
View File
@@ -51,6 +51,62 @@
]
},
"models": [
{
"model": "enso-ultra",
"vendor": "Hanzo",
"scores": {
"gpqa_diamond": {
"value": 92.9,
"source": "hanzo-measured"
},
"charxiv_reasoning": {
"value": 85.5,
"source": "hanzo-measured"
},
"humanitys_last_exam": {
"value": 34.6,
"source": "hanzo-measured"
}
},
"price": 75,
"intelligence": 92.9
},
{
"model": "enso",
"vendor": "Hanzo",
"scores": {
"gpqa_diamond": {
"value": 87.9,
"source": "hanzo-measured"
},
"livecodebench": {
"value": 92,
"source": "hanzo-measured"
},
"charxiv_reasoning": {
"value": 78,
"source": "hanzo-measured"
},
"humanitys_last_exam": {
"value": 29.4,
"source": "hanzo-measured"
}
},
"price": 75,
"intelligence": 87.9
},
{
"model": "enso-flash",
"vendor": "Hanzo",
"scores": {
"gpqa_diamond": {
"value": 75.8,
"source": "hanzo-measured"
}
},
"price": 6,
"intelligence": 75.8
},
{
"model": "gpt-5.6-sol",
"vendor": "OpenAI",
@@ -185,7 +241,7 @@
},
"livecodebench": {
"value": 92.9,
"source": "fugu-report"
"source": "provider-reported"
}
},
"price": 42,
@@ -693,15 +749,15 @@
"scores": {
"gpqa_diamond": {
"value": 94.3,
"source": "fugu-report"
"source": "provider-reported"
},
"swe_bench_pro": {
"value": 54.2,
"source": "fugu-report"
"source": "provider-reported"
},
"livecodebench": {
"value": 88.5,
"source": "fugu-report"
"source": "provider-reported"
},
"livecodebench_pro": {
"value": 2887,
@@ -885,15 +941,15 @@
"scores": {
"gpqa_diamond": {
"value": 93.6,
"source": "fugu-report"
"source": "provider-reported"
},
"swe_bench_pro": {
"value": 58.6,
"source": "fugu-report"
"source": "provider-reported"
},
"livecodebench": {
"value": 85.3,
"source": "fugu-report"
"source": "provider-reported"
},
"terminal_bench": {
"value": 84.3,
@@ -937,11 +993,11 @@
},
"swe_bench_pro": {
"value": 69.2,
"source": "fugu-report"
"source": "provider-reported"
},
"livecodebench": {
"value": 87.8,
"source": "fugu-report"
"source": "provider-reported"
},
"terminal_bench": {
"value": 84.6,
@@ -2488,6 +2544,50 @@
[
"openai/gpt-5.6-sol",
"gpt-5.6-sol@openrouter"
],
[
"google/gemini-3.1-pro-preview",
"gemini-3.1-pro@openrouter"
],
[
"x-ai/grok-4.5",
"grok-4.5@openrouter"
],
[
"moonshotai/kimi-k3",
"kimi-k3@openrouter"
],
[
"anthropic/claude-fable-5",
"fable-5@openrouter"
],
[
"openai/gpt-5.5",
"gpt-5.5@openrouter"
],
[
"deepseek/deepseek-v4-flash",
"deepseek-v4-flash@openrouter"
],
[
"openai/gpt-5.6-luna",
"gpt-5.6-luna@openrouter"
],
[
"xiaomi/mimo-v2.5-pro",
"mimo-v2.5-pro@openrouter"
],
[
"minimax/minimax-m3",
"minimax-m3@openrouter"
],
[
"tencent/hy3",
"hy3@openrouter"
],
[
"sakana/fugu-ultra",
"fugu-ultra@openrouter"
]
]
}
+62
View File
@@ -10,10 +10,12 @@ import {
BENCHMARK_IDS,
benchmarkLabel,
coverage,
isEnsoModel,
leaderboard,
normalizeModelKey,
priorFor,
scoreFor,
sourceClass,
vendors,
} from './benchmarks'
@@ -108,6 +110,66 @@ describe('priorFor / scoreFor', () => {
})
})
describe('sourceClass — the measured-vs-reported binary', () => {
it('classes only the literal `hanzo-measured` as our own harness', () => {
expect(sourceClass('hanzo-measured')).toBe('measured')
})
it('classes every vendor/third-party source as reported, however reputable', () => {
for (const s of [
'provider-reported',
'Vals AI',
'Vals AI — GPQA Diamond leaderboard',
'Artificial Analysis',
'do-catalog',
'OpenAI — Introducing GPT-5',
]) {
expect(sourceClass(s), s).toBe('reported')
}
})
it('every corpus score classes into exactly one of the two', () => {
for (const m of allPriors()) {
for (const s of Object.values(m.scores)) {
expect(['measured', 'reported']).toContain(sourceClass(s.source))
}
}
})
})
describe('the Enso family — synced in, honest numbers, differentiated', () => {
it('recognizes the three tiers and nothing else', () => {
expect(isEnsoModel('enso')).toBe(true)
expect(isEnsoModel('enso-flash')).toBe(true)
expect(isEnsoModel('enso-ultra')).toBe(true)
expect(isEnsoModel('ensoteric')).toBe(false) // not a tier — must not false-match
expect(isEnsoModel('zen5-flash')).toBe(false)
expect(isEnsoModel('gpt-5.6-sol')).toBe(false)
})
it('carries the measured GPQA-Diamond numbers, monotonic Ultra > Pro > Flash', () => {
const ultra = priorFor('enso-ultra')?.scores.gpqa_diamond
const pro = priorFor('enso')?.scores.gpqa_diamond
const flash = priorFor('enso-flash')?.scores.gpqa_diamond
expect(ultra?.value).toBe(92.9)
expect(pro?.value).toBe(87.9)
expect(flash?.value).toBe(75.8)
// Every tier is our own harness, and the family is strictly monotonic in quality.
for (const s of [ultra, pro, flash]) expect(s?.source).toBe('hanzo-measured')
expect(ultra!.value).toBeGreaterThan(pro!.value)
expect(pro!.value).toBeGreaterThan(flash!.value)
})
it('ranks on merit in the GPQA board — present, but never floated to #1', () => {
const board = leaderboard('gpqa_diamond')
const ultra = board.find((r) => r.model === 'enso-ultra')
expect(ultra).toBeDefined()
// Honest placement: strong but not the top of the corpus (reported frontier
// models score higher). We never fabricate a #1.
expect(ultra!.rank).toBeGreaterThan(1)
})
})
describe('leaderboard', () => {
it('ranks by score, best first, with 1-based ranks', () => {
const rows = leaderboard('gpqa_diamond')
+23
View File
@@ -95,6 +95,29 @@ export function normalizeModelKey(rawKey: string): string {
return s
}
// ── Source provenance (the honest measured-vs-reported binary) ────────────────
/**
* The two kinds of number in the corpus. `measured` is our own harness through
* api.hanzo.ai — one common effort setting, complete runs, the figure the router
* actually gets. `reported` is a vendor's or a third party's leaderboard, measured
* on someone else's harness at someone else's effort. The corpus carries a fine
* `source` string on every score; this folds it to the one distinction a reader
* filters on. Only the literal `hanzo-measured` is ours — everything else, however
* reputable (Vals AI, Artificial Analysis, a model card), is reported.
*/
export type SourceClass = 'measured' | 'reported'
export const sourceClass = (source: string): SourceClass =>
source === 'hanzo-measured' ? 'measured' : 'reported'
/**
* The Enso family — our own orchestrated tiers (enso-flash / enso / enso-ultra),
* measured on our harness. Badged apart from other measured models because they
* are the product this surface exists to place honestly among its peers.
*/
export const isEnsoModel = (modelIdOrName: string): boolean =>
/^enso(-|$)/.test(normalizeModelKey(modelIdOrName))
/** Corpus alias pairs: a gateway model id → its canonical corpus name. */
const ALIASES: Record<string, string> = (() => {
const m: Record<string, string> = {}