Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Doubao Lite 1.5 vs OpenAI: o3 Mini (batch) benchmark

Name: Doubao Lite 1.5 vs OpenAI: o3 Mini (batch) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Doubao Lite 1.5 (ByteDance) and OpenAI: o3 Mini (batch) (OpenAI) using the latest snapshots we have as of Aug 16, 2026. Doubao Lite 1.5 wins on output price at $0.1/1M. OpenAI: o3 Mini (batch) has the larger context window (200k 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.

Elo 1,360$0.1/1M out

OpenAI

OpenAI: o3 Mini (batch)

Auto-discovered from OpenRouter (openai/o3-mini:batch). Preview until a second source matches.

$2.2/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Lite 1.5 (9)vsOpenAI: o3 Mini (batch) (1)

Doubao Lite 1.5: 9W (90%)Overall: Doubao Lite 1.5OpenAI: o3 Mini (batch): 1W (10%)

← Doubao Lite 1.5OpenAI: o3 Mini (batch) →

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: 5WOpenAI: o3 Mini (batch): 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: 2WOpenAI: o3 Mini (batch): 0W

Doubao Lite 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.1/1Mvs$2.2/1M

Input price

$0.04/1Mvs$0.55/1M

Context window

33kvs200k

Doubao Lite 1.5: 2WOpenAI: o3 Mini (batch): 1W

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 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Doubao Lite 1.5

$2.10/1M 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

+1275%$0.04/1M

In $Low is better

$0.55/1M

Out $

Low is better

+2100%$0.1/1M

Out $Low is better

$2.2/1M

Context

High is better

33k

ContextHigh is better

200k+510%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 94% with Doubao Lite 1.5

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Doubao Lite 1.5$2.90 / mo

In: $1.40Out: $1.50

OpenAI: o3 Mini (batch)$52.25 / mo

In: $19.25Out: $33.00

Estimated Cost Delta

Doubao Lite 1.5 is estimated to save $49.35/month ($592/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Doubao Lite 1.5:Pick Doubao Lite 1.5 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDoubao Lite 1.5

Lower output list price ($0.1/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: o3 Mini (batch)

Larger window (200k).

Screenshots / visionOpenAI: o3 Mini (batch)

OpenAI: o3 Mini (batch) 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	Doubao Lite 1.5	Lower output list price ($0.1/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: o3 Mini (batch)	Larger window (200k).
Screenshots / vision	OpenAI: o3 Mini (batch)	OpenAI: o3 Mini (batch) is the side marked multimodal in the catalog.

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CompareLLM Matrix

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LIVE

ByteDance

Doubao Lite 1.5

Elo 1,360

LiveBench54%

SWE-bench46%

Speed180 tok/s

Output cost$0.1/1M

OpenAI

OpenAI: o3 Mini (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$2.2/1M

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or OpenAI: o3 Mini (batch)?: 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 OpenAI: o3 Mini (batch)?: 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?: Doubao Lite 1.5 output tokens are $0.1/1M versus $2.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Lite 1.5 or OpenAI: o3 Mini (batch)?: We do not have TTFT for both models.
Which has the larger context window?: OpenAI: o3 Mini (batch) accepts 200k 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 OpenAI: o3 Mini (batch) 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 OpenAI: o3 Mini (batch) matchups →

Doubao Lite 1.5 vs Doubao Pro 1.5 (next seed)GPT-5 vs Doubao Lite 1.5 GPT-4.5 Orion vs Doubao Lite 1.5 GPT-5.6 Sol vs Doubao Lite 1.5 GPT-5.6 Terra vs Doubao Lite 1.5 GPT-4o vs Doubao Lite 1.5

Doubao Lite 1.5 vs OpenAI: o3 Mini (batch) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Lite 1.5 (9)vsOpenAI: o3 Mini (batch) (1)

Doubao Lite 1.5: 9W (90%)Overall: Doubao Lite 1.5OpenAI: o3 Mini (batch): 1W (10%)

← Doubao Lite 1.5OpenAI: o3 Mini (batch) →

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: 5WOpenAI: o3 Mini (batch): 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: 2WOpenAI: o3 Mini (batch): 0W

Doubao Lite 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.1/1Mvs$2.2/1M

Input price

$0.04/1Mvs$0.55/1M

Context window

33kvs200k

Doubao Lite 1.5: 2WOpenAI: o3 Mini (batch): 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDoubao Lite 1.5

Lower output list price ($0.1/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: o3 Mini (batch)

Larger window (200k).

Screenshots / visionOpenAI: o3 Mini (batch)

OpenAI: o3 Mini (batch) 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	Doubao Lite 1.5	Lower output list price ($0.1/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: o3 Mini (batch)	Larger window (200k).
Screenshots / vision	OpenAI: o3 Mini (batch)	OpenAI: o3 Mini (batch) is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or OpenAI: o3 Mini (batch)?

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 OpenAI: o3 Mini (batch)?

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?

Doubao Lite 1.5 output tokens are $0.1/1M versus $2.2/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Lite 1.5 or OpenAI: o3 Mini (batch)?

We do not have TTFT for both models.

Which has the larger context window?

OpenAI: o3 Mini (batch) accepts 200k 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 OpenAI: o3 Mini (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.