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BaiduNewFirst seen 11 Nov 2026 on one source; awaiting a secondCompare with another model

ERNIE-Light-DT-1.0

Launch tracker · day 3

ERNIE-Light-DT-1.0 at launch: what is known so far

As of 13 Nov 2026, no independent benchmark publisher has posted results for ERNIE-Light-DT-1.0 (Baidu, first listed 11 Nov 2026) yet. It has no BenchLeader Index yet: the Index needs at least five independent results across two categories. It is listed at $1.13 in / $3.94 out per 1M tokens, with a 1M-token context window. Not yet measured by Artificial Analysis, LMArena, Epoch AI, Vals AI, LiveBench, ARC Prize, Scale AI and SWE-bench.

First listed
11 Nov 2026 (day 3)
Provider
Baidu
Price
$1.13 in / $3.94 out per 1M tokens
Context window
1M tokens
Open weights
Not stated
BenchLeader Index
Not yet (needs five results in two categories)

Boards usually post results within days of a launch; this page is rebuilt every six hours.

Scores from independent publishers only; benchmark figures a provider publishes about its own model are not shown.

Price#169 of 254
$1.83per 1M tokens
Dearer than most
2.2× the median
Speed#114 of 216
74tokens/s
Below the median
0.9× the median

No cheaper ranked model scores higher: it is on the price frontier.

As of 13 Nov 2026, ERNIE-Light-DT-1.0 by Baidu is not yet ranked on the BenchLeader Index, which needs at least five independent results across two categories. API pricing: $1.13 per 1M input tokens and $3.94 per 1M output tokens ($1.83 blended at 3:1), list price on 13 Nov 2026. It streams about 74 tokens/s (OpenRouter).

Key facts (as of 13 Nov 2026)

  • ERNIE-Light-DT-1.0 API pricing: $1.13 per 1M input tokens and $3.94 per 1M output tokens ($1.83 blended at 3:1) (list price, 13 Nov 2026).
  • ERNIE-Light-DT-1.0 streams about 74 tokens/s (OpenRouter, 13 Nov 2026).

In detail. ERNIE-Light-DT-1.0 is a Baidu model. It is not yet ranked: no independent benchmark results so far, only pricing and metadata. At $1.83 per million tokens blended it is pricier than most ranked models. Output speed of 74 tokens per second puts it slower than most, with a first token in 1.6 s.

Blended price
$1.83/M
$1.13 in · $3.94 out
via OpenRouter
Output speed
74 tok/s
OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
First answer
1.64 s
Context
1.0M
via OpenRouter
Full answer
–
Cost per task
–
Tokens per task
–
Released
–
date not published by our sources

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No independent quality benchmark results yet — only pricing and metadata.

API pricing: where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
Baidu Qianfan68 tok/s2.67 s$1.13$3.941.0M–

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0016–5.7 s
Summarize a 30-page report12,000 / 600$0.016–9.7 s
Code edit6,000 / 1,500$0.013–21.9 s
Agentic coding session60,000 / 4,000$0.084–55.7 s
Structured extraction2,000 / 200$0.0030–4.3 s

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See also

Questions people ask

Why does ERNIE-Light-DT-1.0 have no BenchLeader Index score?
The index needs at least five independent results across at least two categories, and as of 13 Nov 2026 ERNIE-Light-DT-1.0 does not have them yet. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
How much does ERNIE-Light-DT-1.0 cost per 1M tokens?
As of 13 Nov 2026, ERNIE-Light-DT-1.0 costs $1.13 per 1M input tokens and $3.94 per 1M output tokens, $1.83 blended (three input tokens per output token).

Data as of 13 Nov 2026. Compare with another model.

Cite as: BenchLeader, “ERNIE-Light-DT-1.0: benchmarks, pricing, speed and rank”, data as of 13 Nov 2026, https://www.benchleader.com/models/ernie-light-dt-1-0-intl.