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

Doubao Pro 1.5 vs OpenAI: GPT-5.4 Mini (batch) benchmark

Name: Doubao Pro 1.5 vs OpenAI: GPT-5.4 Mini (batch) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Doubao Pro 1.5 (ByteDance) and OpenAI: GPT-5.4 Mini (batch) (OpenAI) using the latest snapshots we have as of Aug 17, 2026. Doubao Pro 1.5 wins on output price at $0.28/1M. OpenAI: GPT-5.4 Mini (batch) 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.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

ByteDance

Doubao Pro 1.5

ByteDance flagship enterprise model with ultra-low token cost and 128k context.

Elo 1,470$0.28/1M out

OpenAI

OpenAI: GPT-5.4 Mini (batch)

Auto-discovered from OpenRouter (openai/gpt-5.4-mini:batch). Preview until a second source matches.

$2.25/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

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 Pro 1.5 (9)vsOpenAI: GPT-5.4 Mini (batch) (1)

Doubao Pro 1.5: 9W (90%)Overall: Doubao Pro 1.5OpenAI: GPT-5.4 Mini (batch): 1W (10%)

← Doubao Pro 1.5OpenAI: GPT-5.4 Mini (batch) →

Doubao Pro 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs—

Coding Elo

1,465vs—

SWE-bench

62.1%vs—

LiveBench

64%vs—

GPQA Diamond

77.5%vs—

Doubao Pro 1.5: 5WOpenAI: GPT-5.4 Mini (batch): 0W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs—

Time to first token

190 msvs—

Doubao Pro 1.5: 2WOpenAI: GPT-5.4 Mini (batch): 0W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$2.25/1M

Input price

$0.11/1Mvs$0.375/1M

Context window

128kvs400k

Doubao Pro 1.5: 2WOpenAI: GPT-5.4 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 Pro 1.5 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

Doubao Pro 1.5

$1.97/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,470

EloHigh is better

—

Code Elo

High is better

1,465

Code EloHigh is better

—

LiveBench

High is better

64%

LiveBenchHigh is better

—

SWE-bench

High is better

62.1%

SWE-benchHigh is better

—

GPQA

High is better

77.5%

GPQAHigh is better

—

TTFT

Low is better

190 ms

TTFTLow is better

—

Speed

High is better

105 tok/s

SpeedHigh is better

—

In $

Low is better

+241%$0.11 / 1M

In $Low is better

$0.38 / 1M

Out $

Low is better

+704%$0.28 / 1M

Out $Low is better

$2.25 / 1M

Context

High is better

128k

ContextHigh is better

400k+213%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 83% with Doubao Pro 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 Pro 1.5$8.05 / mo

In: $3.85Out: $4.2

OpenAI: GPT-5.4 Mini (batch)$46.88 / mo

In: $13.13Out: $33.75

Estimated Cost Delta

Doubao Pro 1.5 is estimated to save $38.83/month ($466/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

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

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDoubao Pro 1.5

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5.4 Mini (batch)

Larger window (400k).

Screenshots / visionDoubao Pro 1.5

Doubao Pro 1.5 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 Pro 1.5	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: GPT-5.4 Mini (batch)	Larger window (400k).
Screenshots / vision	Doubao Pro 1.5	Doubao Pro 1.5 is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/doubao-1-5-pro-128k-vs-gpt-5-4-mini-batch/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

ByteDance

Doubao Pro 1.5

Elo 1,470

LiveBench64%

SWE-bench62.1%

Speed105 tok/s

Output cost$0.28/1M

OpenAI

OpenAI: GPT-5.4 Mini (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$2.25/1M

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 or OpenAI: GPT-5.4 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 Pro 1.5 or OpenAI: GPT-5.4 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 Pro 1.5 output tokens are $0.28/1M versus $2.25/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Pro 1.5 or OpenAI: GPT-5.4 Mini (batch)?: We do not have TTFT for both models.
Which has the larger context window?: OpenAI: GPT-5.4 Mini (batch) accepts 400k tokens versus 128k.
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 Pro 1.5 and OpenAI: GPT-5.4 Mini (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Doubao Pro 1.5 matchups →|All OpenAI: GPT-5.4 Mini (batch) matchups →

Doubao Pro 1.5 vs Doubao Lite 1.5 (previous seed)GPT-4.5 Orion vs Doubao Pro 1.5 GPT-5.6 Terra vs Doubao Pro 1.5 GPT-5 vs Doubao Pro 1.5 GPT-5.6 Sol vs Doubao Pro 1.5 Seed 2.1 Turbo vs Doubao Pro 1.5

Doubao Pro 1.5 vs OpenAI: GPT-5.4 Mini (batch) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Pro 1.5 (9)vsOpenAI: GPT-5.4 Mini (batch) (1)

Doubao Pro 1.5: 9W (90%)Overall: Doubao Pro 1.5OpenAI: GPT-5.4 Mini (batch): 1W (10%)

← Doubao Pro 1.5OpenAI: GPT-5.4 Mini (batch) →

Doubao Pro 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs—

Coding Elo

1,465vs—

SWE-bench

62.1%vs—

LiveBench

64%vs—

GPQA Diamond

77.5%vs—

Doubao Pro 1.5: 5WOpenAI: GPT-5.4 Mini (batch): 0W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs—

Time to first token

190 msvs—

Doubao Pro 1.5: 2WOpenAI: GPT-5.4 Mini (batch): 0W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$2.25/1M

Input price

$0.11/1Mvs$0.375/1M

Context window

128kvs400k

Doubao Pro 1.5: 2WOpenAI: GPT-5.4 Mini (batch): 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatDoubao Pro 1.5

Lower output list price ($0.28/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5.4 Mini (batch)

Larger window (400k).

Screenshots / visionDoubao Pro 1.5

Doubao Pro 1.5 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 Pro 1.5	Lower output list price ($0.28/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	OpenAI: GPT-5.4 Mini (batch)	Larger window (400k).
Screenshots / vision	Doubao Pro 1.5	Doubao Pro 1.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 or OpenAI: GPT-5.4 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 Pro 1.5 or OpenAI: GPT-5.4 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 Pro 1.5 output tokens are $0.28/1M versus $2.25/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Pro 1.5 or OpenAI: GPT-5.4 Mini (batch)?

We do not have TTFT for both models.

Which has the larger context window?

OpenAI: GPT-5.4 Mini (batch) accepts 400k tokens versus 128k.

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 Pro 1.5 and OpenAI: GPT-5.4 Mini (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.