Naar inhoud
Tier B — Productie
Draait in:FranceGemaakt in:China

Gearchiveerd

Dit model is door de aanbieder uit productie genomen. Historische data blijft bewaard.

Niet meer beschikbaar sinds 20 september 2026.

OVH AI Endpoints (GRA)

Qwen3-32B

Tier B — Productie

Tokonomix-redactie·Gecontroleerd door Mes Kalkan··
Sectie 01

Prijzen

Wat je per miljoen tokens betaalt als je dit model via Tokonomix gebruikt, plus een schatting voor een gemiddeld gesprek.

💰
API-tarieven — Qwen3-32B
$0.2100 per 1M input-tokens
$0.6000 per 1M output-tokens
≈ $0.0002 per typisch gesprek (800 tokens)
Input vs output prijs (per 1M tokens)
per 1M input-tokens$0.2100
per 1M output-tokens$0.6000
Sectie 02

Mogelijkheden

ownedBy: Qwen
Sectie 03

Beschikbaarheid

Beschikbaarheid

Nog geen meetdata

Er zijn nog niet genoeg API-aanroepen geregistreerd om beschikbaarheidsstatistieken voor dit model te tonen. Data verschijnt zodra het model live verkeer ontvangt.

Sectie 04

Tokonomix benchmark-oordelen

⚖️
Endorsed by 2 judges
Independent LLM judges evaluated this model on our weekly intelligence tests
cohere/command-a95/100 · 1 runs
1 correct0 partial0 wrong100% accuracy
claude-sonnet-4-576/100 · 82 runs
51 correct16 partial15 wrong62% accuracy
● 2026-09-13

Qwen3-32B drops to 56.8 quality, latency improves 17% to 18.0s

Qwen3-32B shows a mixed performance shift in this benchmark window, with overall quality declining slightly from 58.0 to 56.8 while latency improved meaningfully from 21.7s to 18.0s. The 17% latency improvement brings response times closer to acceptable levels, though they remain notably high for a 32B parameter model. Category performance reveals dramatic swings: reasoning capability jumped impressively to 89 from a previous coding score of 52, and coding maintained strong performance at 72. However, factual accuracy collapsed to just 10, a concerning regression that suggests significant reliability issues with knowledge-based queries. The previous window's multilingual strength at 91 and creative capabilities are not represented in current testing categories, making direct comparison incomplete. This benchmarking period captures only 5 test runs, matching the previous window's sample size. Users should exercise caution with factual queries given the severe accuracy drop, while those prioritizing reasoning tasks may find improved utility. The latency gains are welcome but the model still requires substantial patience per request. Overall trajectory remains uncertain given the quality decline despite operational improvements.

Kwaliteit

56.8

Latency p50

17,953 ms

Testruns

5

✓ Latency improved 17%✗ Quality dropped to 56.8✗ Factual accuracy collapsed to 10✓ Reasoning strong at 89
Laatste automatische test
20 sep 2026 · 05:11 UTC · Benchmark
P50 latency
—
P95 latency
—
Fouten
1 / 6 runs
Laatst beoordeeld door Tokonomix-team·20 september 2026