Pairwise benchmark snapshot · Aug 16, 2026

Doubao Lite 1.5 vs OpenAI: o1 benchmark

Name: Doubao Lite 1.5 vs OpenAI: o1 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Doubao Lite 1.5 (ByteDance) and OpenAI: o1 (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, OpenAI: o1 is ahead by 152 points (1,512 vs 1,360; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, OpenAI: o1 resolves 48.9% versus 46% (seed-bootstrap (Aug 1, 2026)). Doubao Lite 1.5 streams faster (180 tok/s) while Doubao Lite 1.5 is the cheaper output token ($0.1/1M). OpenAI: o1 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: o1

Auto-discovered from OpenRouter (openai/o1). Preview until a second source matches.

Elo 1,512$60/1M out

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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 (4)vsOpenAI: o1 (6)

Doubao Lite 1.5: 4W (40%)Overall: OpenAI: o1OpenAI: o1: 6W (60%)

← Doubao Lite 1.5OpenAI: o1 →

OpenAI: o1 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,360vs1,512

Coding Elo

1,320vs1,485

SWE-bench

46%vs48.9%

LiveBench

54%vs65.4%

GPQA Diamond

64.2%vs78%

Doubao Lite 1.5: 0WOpenAI: o1: 5W

Doubao Lite 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

180 tok/svs45 tok/s

Time to first token

110 msvs420 ms

Doubao Lite 1.5: 2WOpenAI: o1: 0W

Doubao Lite 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.1/1Mvs$60/1M

Input price

$0.04/1Mvs$15/1M

Context window

33kvs200k

Doubao Lite 1.5: 2WOpenAI: o1: 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 AdvantageOpenAI: o1 4/6

Preference Elo

OpenAI: o1

152 pts advantage

Throughput Speed

Doubao Lite 1.5

135 tok/s faster

Price Efficiency

Doubao Lite 1.5

$59.90/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,360

EloHigh is better

1,512+11%

Code Elo

High is better

1,320

Code EloHigh is better

1,485+13%

LiveBench

High is better

54%

LiveBenchHigh is better

65.4%+21%

SWE-bench

High is better

46%

SWE-benchHigh is better

48.9%+6%

GPQA

High is better

64.2%

GPQAHigh is better

78%+21%

TTFT

Low is better

+282%110 ms

TTFTLow is better

420 ms

Speed

High is better

+300%180 tok/s

SpeedHigh is better

45 tok/s

In $

Low is better

+37400%$0.04/1M

In $Low is better

$15/1M

Out $

Low is better

+59900%$0.1/1M

Out $Low is better

$60/1M

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 100% 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: o1$1,425.00 / mo

In: $525.00Out: $900.00

Estimated Cost Delta

Doubao Lite 1.5 is estimated to save $1,422.10/month ($17,065/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
OpenAI: o1:Pick OpenAI: o1 when repo-level coding accuracy is the constraint.
2
Doubao Lite 1.5:Pick Doubao Lite 1.5 when you are optimizing output cost.
3
Doubao Lite 1.5:Pick Doubao Lite 1.5 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsOpenAI: o1

Higher SWE-bench (48.9%).

High-volume chatDoubao Lite 1.5

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

Voice / low-latency UIDoubao Lite 1.5

Lower TTFT (110 ms).

Long-document RAGOpenAI: o1

Larger window (200k).

Screenshots / visionOpenAI: o1

OpenAI: o1 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	OpenAI: o1	Higher SWE-bench (48.9%).
High-volume chat	Doubao Lite 1.5	Lower output list price ($0.1/1M).
Voice / low-latency UI	Doubao Lite 1.5	Lower TTFT (110 ms).
Long-document RAG	OpenAI: o1	Larger window (200k).
Screenshots / vision	OpenAI: o1	OpenAI: o1 is the side marked multimodal in the catalog.

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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: o1

Elo 1,512

LiveBench65.4%

SWE-bench48.9%

Speed45 tok/s

Output cost$60/1M

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or OpenAI: o1?: OpenAI: o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Doubao Lite 1.5 or OpenAI: o1?: OpenAI: o1 leads SWE-bench at 48.9% vs 46%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Doubao Lite 1.5 output tokens are $0.1/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Lite 1.5 or OpenAI: o1?: Doubao Lite 1.5 has the lower time-to-first-token (110 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: OpenAI: o1 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: o1 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: o1 matchups →

Doubao Lite 1.5 vs Doubao Pro 1.5 (next seed)OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)Doubao Pro 1.5 vs OpenAI: o1 GPT-5 vs OpenAI: o1 GPT-5.6 Sol vs OpenAI: o1

Doubao Lite 1.5 vs OpenAI: o1 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Lite 1.5 (4)vsOpenAI: o1 (6)

Doubao Lite 1.5: 4W (40%)Overall: OpenAI: o1OpenAI: o1: 6W (60%)

← Doubao Lite 1.5OpenAI: o1 →

OpenAI: o1 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,360vs1,512

Coding Elo

1,320vs1,485

SWE-bench

46%vs48.9%

LiveBench

54%vs65.4%

GPQA Diamond

64.2%vs78%

Doubao Lite 1.5: 0WOpenAI: o1: 5W

Doubao Lite 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

180 tok/svs45 tok/s

Time to first token

110 msvs420 ms

Doubao Lite 1.5: 2WOpenAI: o1: 0W

Doubao Lite 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.1/1Mvs$60/1M

Input price

$0.04/1Mvs$15/1M

Context window

33kvs200k

Doubao Lite 1.5: 2WOpenAI: o1: 1W

Recommended Workload Routing

Repo / coding agentsOpenAI: o1

Higher SWE-bench (48.9%).

High-volume chatDoubao Lite 1.5

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

Voice / low-latency UIDoubao Lite 1.5

Lower TTFT (110 ms).

Long-document RAGOpenAI: o1

Larger window (200k).

Screenshots / visionOpenAI: o1

OpenAI: o1 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	OpenAI: o1	Higher SWE-bench (48.9%).
High-volume chat	Doubao Lite 1.5	Lower output list price ($0.1/1M).
Voice / low-latency UI	Doubao Lite 1.5	Lower TTFT (110 ms).
Long-document RAG	OpenAI: o1	Larger window (200k).
Screenshots / vision	OpenAI: o1	OpenAI: o1 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or OpenAI: o1?

OpenAI: o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Doubao Lite 1.5 or OpenAI: o1?

OpenAI: o1 leads SWE-bench at 48.9% vs 46%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Doubao Lite 1.5 output tokens are $0.1/1M versus $60/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Lite 1.5 or OpenAI: o1?

Doubao Lite 1.5 has the lower time-to-first-token (110 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

OpenAI: o1 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: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.