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

Doubao Pro 1.5 vs Qwen: Qwen3.6 27B benchmark

Name: Doubao Pro 1.5 vs Qwen: Qwen3.6 27B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Doubao Pro 1.5 (ByteDance) and Qwen: Qwen3.6 27B (Alibaba) using the latest snapshots we have as of Aug 16, 2026. Doubao Pro 1.5 wins on output price at $0.28/1M. Qwen: Qwen3.6 27B has the larger context window (262k 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 Pro 1.5

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

Elo 1,470$0.28/1M out

Alibaba

Qwen: Qwen3.6 27B

Auto-discovered from OpenRouter (qwen/qwen3.6-27b). Preview until a second source matches.

$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 Pro 1.5 (9)vsQwen: Qwen3.6 27B (1)

Doubao Pro 1.5: 9W (90%)Overall: Doubao Pro 1.5Qwen: Qwen3.6 27B: 1W (10%)

← Doubao Pro 1.5Qwen: Qwen3.6 27B →

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: 5WQwen: Qwen3.6 27B: 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: 2WQwen: Qwen3.6 27B: 0W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$2/1M

Input price

$0.11/1Mvs$0.3/1M

Context window

128kvs262k

Doubao Pro 1.5: 2WQwen: Qwen3.6 27B: 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

Price Efficiency

Doubao Pro 1.5

$1.72/1M 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

+173%$0.11/1M

In $Low is better

$0.3/1M

Out $

Low is better

+614%$0.28/1M

Out $Low is better

$2/1M

Context

High is better

128k

ContextHigh is better

262k+105%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 80% 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: $4.20

Qwen: Qwen3.6 27B$40.50 / mo

In: $10.50Out: $30.00

Estimated Cost Delta

Doubao Pro 1.5 is estimated to save $32.45/month ($389/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 RAGQwen: Qwen3.6 27B

Larger window (262k).

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	Qwen: Qwen3.6 27B	Larger window (262k).
Screenshots / vision	Doubao Pro 1.5	Doubao Pro 1.5 is the side marked multimodal in the catalog.

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LIVE

ByteDance

Doubao Pro 1.5

Elo 1,470

LiveBench64%

SWE-bench62.1%

Speed105 tok/s

Output cost$0.28/1M

Alibaba

Qwen: Qwen3.6 27B

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$2/1M

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 or Qwen: Qwen3.6 27B?: 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 Qwen: Qwen3.6 27B?: 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 $2/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Pro 1.5 or Qwen: Qwen3.6 27B?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3.6 27B accepts 262k 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 Qwen: Qwen3.6 27B 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 Qwen: Qwen3.6 27B matchups →

Doubao Pro 1.5 vs Doubao Lite 1.5 (previous seed)Doubao Pro 1.5 vs Seed 2.1 Turbo (next seed)Qwen 3 Max vs Doubao Pro 1.5 Qwen QwQ 32B vs Doubao Pro 1.5 Qwen 2.5 Plus vs Doubao Pro 1.5 Yi-Lightning vs Doubao Pro 1.5

Doubao Pro 1.5 vs Qwen: Qwen3.6 27B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Pro 1.5 (9)vsQwen: Qwen3.6 27B (1)

Doubao Pro 1.5: 9W (90%)Overall: Doubao Pro 1.5Qwen: Qwen3.6 27B: 1W (10%)

← Doubao Pro 1.5Qwen: Qwen3.6 27B →

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: 5WQwen: Qwen3.6 27B: 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: 2WQwen: Qwen3.6 27B: 0W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$2/1M

Input price

$0.11/1Mvs$0.3/1M

Context window

128kvs262k

Doubao Pro 1.5: 2WQwen: Qwen3.6 27B: 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 RAGQwen: Qwen3.6 27B

Larger window (262k).

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	Qwen: Qwen3.6 27B	Larger window (262k).
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 Qwen: Qwen3.6 27B?

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 Qwen: Qwen3.6 27B?

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 $2/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Pro 1.5 or Qwen: Qwen3.6 27B?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3.6 27B accepts 262k 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 Qwen: Qwen3.6 27B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.