Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Doubao Lite 1.5 vs NVIDIA: Nemotron 3 Ultra (free) benchmark

Name: Doubao Lite 1.5 vs NVIDIA: Nemotron 3 Ultra (free) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Doubao Lite 1.5 (ByteDance) and NVIDIA: Nemotron 3 Ultra (free) (nvidia) using the latest snapshots we have as of Aug 17, 2026. NVIDIA: Nemotron 3 Ultra (free) wins on output price at $0/1M. NVIDIA: Nemotron 3 Ultra (free) has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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ByteDance

Doubao Lite 1.5

ByteDance high-speed lightweight model priced at sub-cent levels.

Lite 1.5Elo 1,360$0.1/1M out

nvidia

NVIDIA: Nemotron 3 Ultra (free)

Auto-discovered from OpenRouter (nvidia/nemotron-3-ultra-550b-a55b:free). Preview until a second source matches.

$0/1M out

Model Lineage & Multi-Tier Derivatives🇨🇳 CN Frontier

Doubao Series Family (3 models)

Compare vs Base (Doubao Pro 1.5)

Doubao Pro 1.5

ByteDance

Flagship Base

Elo

1470

Speed

105 tok/s

Price

$0.28 / 1M

View model →vs this

Doubao Lite 1.5

ByteDance

Lite 1.5

Elo

1360

Speed

180 tok/s

Price

$0.10 / 1M

-110 Elo-64% cost1.7x speed

Viewing now

Seed 2.1 Turbo

ByteDance

Seed 2.1

Elo

1472

Speed

160 tok/s

Price

$2.50 / 1M

+2 Elo+793% cost1.5x speed

View model →vs this

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Model A

Model B

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Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Lite 1.5 (7)vsNVIDIA: Nemotron 3 Ultra (free) (3)

Doubao Lite 1.5: 7W (70%)Overall: Doubao Lite 1.5NVIDIA: Nemotron 3 Ultra (free): 3W (30%)

← Doubao Lite 1.5NVIDIA: Nemotron 3 Ultra (free) →

Doubao Lite 1.5 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,360vs—

Coding Elo

1,320vs—

SWE-bench

46%vs—

LiveBench

54%vs—

GPQA Diamond

64.2%vs—

Doubao Lite 1.5: 5WNVIDIA: Nemotron 3 Ultra (free): 0W

Doubao Lite 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

180 tok/svs—

Time to first token

110 msvs—

Doubao Lite 1.5: 2WNVIDIA: Nemotron 3 Ultra (free): 0W

NVIDIA: Nemotron 3 Ultra (free) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.1/1Mvs$0/1M

Input price

$0.04/1Mvs$0/1M

Context window

33kvs1M

Doubao Lite 1.5: 0WNVIDIA: Nemotron 3 Ultra (free): 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageDoubao Lite 1.5 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

NVIDIA: Nemotron 3 Ultra (free)

$0.10/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,360

EloHigh is better

—

Code Elo

High is better

1,320

Code EloHigh is better

—

LiveBench

High is better

54%

LiveBenchHigh is better

—

SWE-bench

High is better

46%

SWE-benchHigh is better

—

GPQA

High is better

64.2%

GPQAHigh is better

—

TTFT

Low is better

110 ms

TTFTLow is better

—

Speed

High is better

180 tok/s

SpeedHigh is better

—

In $

Low is better

$0.04 / 1M

In $Low is better

$0.00 / 1M

Out $

Low is better

$0.10 / 1M

Out $Low is better

$0.00 / 1M

Context

High is better

33k

ContextHigh is better

1M+2952%

Key Selection Recommendations

1
NVIDIA: Nemotron 3 Ultra (free):Pick NVIDIA: Nemotron 3 Ultra (free) when you are optimizing output cost.
2
NVIDIA: Nemotron 3 Ultra (free):Pick NVIDIA: Nemotron 3 Ultra (free) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatNVIDIA: Nemotron 3 Ultra (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGNVIDIA: Nemotron 3 Ultra (free)

Larger window (1M).

Screenshots / visionNVIDIA: Nemotron 3 Ultra (free)

NVIDIA: Nemotron 3 Ultra (free) is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	NVIDIA: Nemotron 3 Ultra (free)	Lower output list price ($0/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	NVIDIA: Nemotron 3 Ultra (free)	Larger window (1M).
Screenshots / vision	NVIDIA: Nemotron 3 Ultra (free)	NVIDIA: Nemotron 3 Ultra (free) is the side marked multimodal in the catalog.

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CompareLLM Matrix

Verified head-to-head card

LIVE

ByteDance

Doubao Lite 1.5

Elo 1,360

LiveBench54%

SWE-bench46%

Speed180 tok/s

Output cost$0.1/1M

nvidia

NVIDIA: Nemotron 3 Ultra (free)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0/1M

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or NVIDIA: Nemotron 3 Ultra (free)?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Doubao Lite 1.5 or NVIDIA: Nemotron 3 Ultra (free)?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: NVIDIA: Nemotron 3 Ultra (free) output tokens are $0/1M versus $0.1/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Lite 1.5 or NVIDIA: Nemotron 3 Ultra (free)?: We do not have TTFT for both models.
Which has the larger context window?: NVIDIA: Nemotron 3 Ultra (free) accepts 1M tokens versus 33k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Doubao Lite 1.5 and NVIDIA: Nemotron 3 Ultra (free) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Doubao Lite 1.5 matchups →|All NVIDIA: Nemotron 3 Ultra (free) matchups →

Doubao Lite 1.5 vs Doubao Pro 1.5 (next seed)Seed 2.1 Turbo vs Doubao Lite 1.5 Mistral Large 3 vs Doubao Lite 1.5 Yi-Lightning vs Doubao Lite 1.5 Gemini 2.0 Flash Thinking vs Doubao Lite 1.5 Gemini 3 Flash vs Doubao Lite 1.5

Doubao Lite 1.5 vs NVIDIA: Nemotron 3 Ultra (free) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Lite 1.5 (7)vsNVIDIA: Nemotron 3 Ultra (free) (3)

Doubao Lite 1.5: 7W (70%)Overall: Doubao Lite 1.5NVIDIA: Nemotron 3 Ultra (free): 3W (30%)

← Doubao Lite 1.5NVIDIA: Nemotron 3 Ultra (free) →

Doubao Lite 1.5 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,360vs—

Coding Elo

1,320vs—

SWE-bench

46%vs—

LiveBench

54%vs—

GPQA Diamond

64.2%vs—

Doubao Lite 1.5: 5WNVIDIA: Nemotron 3 Ultra (free): 0W

Doubao Lite 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

180 tok/svs—

Time to first token

110 msvs—

Doubao Lite 1.5: 2WNVIDIA: Nemotron 3 Ultra (free): 0W

NVIDIA: Nemotron 3 Ultra (free) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.1/1Mvs$0/1M

Input price

$0.04/1Mvs$0/1M

Context window

33kvs1M

Doubao Lite 1.5: 0WNVIDIA: Nemotron 3 Ultra (free): 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatNVIDIA: Nemotron 3 Ultra (free)

Lower output list price ($0/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGNVIDIA: Nemotron 3 Ultra (free)

Larger window (1M).

Screenshots / visionNVIDIA: Nemotron 3 Ultra (free)

NVIDIA: Nemotron 3 Ultra (free) is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	NVIDIA: Nemotron 3 Ultra (free)	Lower output list price ($0/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	NVIDIA: Nemotron 3 Ultra (free)	Larger window (1M).
Screenshots / vision	NVIDIA: Nemotron 3 Ultra (free)	NVIDIA: Nemotron 3 Ultra (free) is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or NVIDIA: Nemotron 3 Ultra (free)?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Doubao Lite 1.5 or NVIDIA: Nemotron 3 Ultra (free)?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

NVIDIA: Nemotron 3 Ultra (free) output tokens are $0/1M versus $0.1/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Lite 1.5 or NVIDIA: Nemotron 3 Ultra (free)?

We do not have TTFT for both models.

Which has the larger context window?

NVIDIA: Nemotron 3 Ultra (free) accepts 1M tokens versus 33k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Doubao Lite 1.5 and NVIDIA: Nemotron 3 Ultra (free) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.