Pairwise benchmark snapshot · Aug 16, 2026

Doubao Lite 1.5 vs GPT-5 benchmark

Name: Doubao Lite 1.5 vs GPT-5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Doubao Lite 1.5 (ByteDance) and GPT-5 (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-5 is ahead by 198 points (1,558 vs 1,360; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, GPT-5 resolves 68.4% 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). GPT-5 has the larger context window (400k 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

GPT-5

OpenAI flagship reasoning model for 2025–26. Strong general preference Elo and multimodal coverage.

Elo 1,558$10/1M 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 (4)vsGPT-5 (6)

Doubao Lite 1.5: 4W (40%)Overall: GPT-5GPT-5: 6W (60%)

← Doubao Lite 1.5GPT-5 →

GPT-5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,360vs1,558

Coding Elo

1,320vs1,540

SWE-bench

46%vs68.4%

LiveBench

54%vs69.8%

GPQA Diamond

64.2%vs85.2%

Doubao Lite 1.5: 0WGPT-5: 5W

Doubao Lite 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

180 tok/svs78 tok/s

Time to first token

110 msvs290 ms

Doubao Lite 1.5: 2WGPT-5: 0W

Doubao Lite 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.1/1Mvs$10/1M

Input price

$0.04/1Mvs$1.25/1M

Context window

33kvs400k

Doubao Lite 1.5: 2WGPT-5: 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 AdvantageGPT-5 4/6

Preference Elo

GPT-5

198 pts advantage

Throughput Speed

Doubao Lite 1.5

102 tok/s faster

Price Efficiency

Doubao Lite 1.5

$9.90/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,360

EloHigh is better

1,558+15%

Code Elo

High is better

1,320

Code EloHigh is better

1,540+17%

LiveBench

High is better

54%

LiveBenchHigh is better

69.8%+29%

SWE-bench

High is better

46%

SWE-benchHigh is better

68.4%+49%

GPQA

High is better

64.2%

GPQAHigh is better

85.2%+33%

TTFT

Low is better

+164%110 ms

TTFTLow is better

290 ms

Speed

High is better

+131%180 tok/s

SpeedHigh is better

78 tok/s

In $

Low is better

+3025%$0.04/1M

In $Low is better

$1.25/1M

Out $

Low is better

+9900%$0.1/1M

Out $Low is better

$10/1M

Context

High is better

33k

ContextHigh is better

400k+1121%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 99% 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

GPT-5$193.75 / mo

In: $43.75Out: $150.00

Estimated Cost Delta

Doubao Lite 1.5 is estimated to save $190.85/month ($2,290/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GPT-5:Pick GPT-5 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 agentsGPT-5

Higher SWE-bench (68.4%).

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 RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

GPT-5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-5	Higher SWE-bench (68.4%).
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	GPT-5	Larger window (400k).
Screenshots / vision	GPT-5	GPT-5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchAug 8, 2025

GPT-5 (2025) remains the legacy OpenAI flagship baseline

Still a common compare target. 5.6 Sol replaced it as the buy; GPT-5 stays for old URLs.

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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

GPT-5

Elo 1,558

LiveBench69.8%

SWE-bench68.4%

Speed78 tok/s

Output cost$10/1M

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or GPT-5?: GPT-5 has the higher preference Elo in our latest snapshot (1,558). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Doubao Lite 1.5 or GPT-5?: GPT-5 leads SWE-bench at 68.4% 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 $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Lite 1.5 or GPT-5?: Doubao Lite 1.5 has the lower time-to-first-token (110 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GPT-5 accepts 400k 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 GPT-5 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 GPT-5 matchups →

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

Doubao Lite 1.5 vs GPT-5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Lite 1.5 (4)vsGPT-5 (6)

Doubao Lite 1.5: 4W (40%)Overall: GPT-5GPT-5: 6W (60%)

← Doubao Lite 1.5GPT-5 →

GPT-5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,360vs1,558

Coding Elo

1,320vs1,540

SWE-bench

46%vs68.4%

LiveBench

54%vs69.8%

GPQA Diamond

64.2%vs85.2%

Doubao Lite 1.5: 0WGPT-5: 5W

Doubao Lite 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

180 tok/svs78 tok/s

Time to first token

110 msvs290 ms

Doubao Lite 1.5: 2WGPT-5: 0W

Doubao Lite 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.1/1Mvs$10/1M

Input price

$0.04/1Mvs$1.25/1M

Context window

33kvs400k

Doubao Lite 1.5: 2WGPT-5: 1W

Recommended Workload Routing

Repo / coding agentsGPT-5

Higher SWE-bench (68.4%).

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 RAGGPT-5

Larger window (400k).

Screenshots / visionGPT-5

GPT-5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-5	Higher SWE-bench (68.4%).
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	GPT-5	Larger window (400k).
Screenshots / vision	GPT-5	GPT-5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or GPT-5?

GPT-5 has the higher preference Elo in our latest snapshot (1,558). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Doubao Lite 1.5 or GPT-5?

GPT-5 leads SWE-bench at 68.4% 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 $10/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Lite 1.5 or GPT-5?

Doubao Lite 1.5 has the lower time-to-first-token (110 ms vs 290 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GPT-5 accepts 400k 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 GPT-5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

GPT-5

Doubao Lite 1.5

Doubao Lite 1.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5 (2025) remains the legacy OpenAI flagship baseline

Cast Your Matchup Vote

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CompareLLM Matrix

Doubao Lite 1.5

GPT-5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

GPT-5

Doubao Lite 1.5

Doubao Lite 1.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5 (2025) remains the legacy OpenAI flagship baseline

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Doubao Lite 1.5

GPT-5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons