Pairwise benchmark snapshot · Aug 17, 2026

Claude 3.5 Sonnet vs Doubao Pro 1.5 benchmark

Name: Claude 3.5 Sonnet vs Doubao Pro 1.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.5 Sonnet (Anthropic) and Doubao Pro 1.5 (ByteDance) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Doubao Pro 1.5 is ahead by 190 points (1,470 vs 1,280; lmarena (Aug 17, 2026)). On SWE-bench coding, Doubao Pro 1.5 resolves 62.1% versus 49% (swebench (Aug 17, 2026)). Doubao Pro 1.5 streams faster (105 tok/s) while Doubao Pro 1.5 is the cheaper output token ($0.28/1M). Claude 3.5 Sonnet 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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Anthropic

Claude 3.5 Sonnet

2024 workhorse. Still a high-intent compare against GPT-4o.

Elo 1,280$15/1M out

ByteDance

Doubao Pro 1.5

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

Elo 1,470$0.28/1M 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.

Claude 3.5 Sonnet (1)vsDoubao Pro 1.5 (9)

Claude 3.5 Sonnet: 1W (10%)Overall: Doubao Pro 1.5Doubao Pro 1.5: 9W (90%)

← Claude 3.5 SonnetDoubao Pro 1.5 →

Doubao Pro 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,280vs1,470

Coding Elo

—vs1,465

SWE-bench

49%vs62.1%

LiveBench

52.1%vs64%

GPQA Diamond

65%vs77.5%

Claude 3.5 Sonnet: 0WDoubao Pro 1.5: 5W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

80 tok/svs105 tok/s

Time to first token

280 msvs190 ms

Claude 3.5 Sonnet: 0WDoubao Pro 1.5: 2W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.28/1M

Input price

$3/1Mvs$0.11/1M

Context window

200kvs128k

Claude 3.5 Sonnet: 1WDoubao Pro 1.5: 2W

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

Doubao Pro 1.5

190 pts advantage

Throughput Speed

Doubao Pro 1.5

25 tok/s faster

Token Price Efficiency

Doubao Pro 1.5

$14.72/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,280

EloHigh is better

1,470+15%

Code Elo

High is better

—

Code EloHigh is better

1,465

LiveBench

High is better

52.1%

LiveBenchHigh is better

64%+23%

SWE-bench

High is better

49%

SWE-benchHigh is better

62.1%+27%

GPQA

High is better

65%

GPQAHigh is better

77.5%+19%

TTFT

Low is better

280 ms

TTFTLow is better

190 ms+47%

Speed

High is better

80 tok/s

SpeedHigh is better

105 tok/s+31%

In $

Low is better

$3.00 / 1M

In $Low is better

$0.11 / 1M+2627%

Out $

Low is better

$15.00 / 1M

Out $Low is better

$0.28 / 1M+5257%

Context

High is better

+56%200k

ContextHigh is better

128k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 98% 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)

Claude 3.5 Sonnet$330.00 / mo

In: $105Out: $225

Doubao Pro 1.5$8.05 / mo

In: $3.85Out: $4.2

Estimated Cost Delta

Doubao Pro 1.5 is estimated to save $321.95/month ($3,863/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Doubao Pro 1.5:Pick Doubao Pro 1.5 when repo-level coding accuracy is the constraint.
2
Doubao Pro 1.5:Pick Doubao Pro 1.5 when time-to-first-token matters more than peak Elo.
3
Doubao Pro 1.5:Pick Doubao Pro 1.5 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsDoubao Pro 1.5

Higher SWE-bench (62.1%).

High-volume chatDoubao Pro 1.5

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

Voice / low-latency UIDoubao Pro 1.5

Lower TTFT (190 ms).

Long-document RAGClaude 3.5 Sonnet

Larger window (200k).

Screenshots / visionDoubao Pro 1.5

Both accept images. Defaulting to the higher-Elo side (Doubao Pro 1.5).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Doubao Pro 1.5	Higher SWE-bench (62.1%).
High-volume chat	Doubao Pro 1.5	Lower output list price ($0.28/1M).
Voice / low-latency UI	Doubao Pro 1.5	Lower TTFT (190 ms).
Long-document RAG	Claude 3.5 Sonnet	Larger window (200k).
Screenshots / vision	Doubao Pro 1.5	Both accept images. Defaulting to the higher-Elo side (Doubao Pro 1.5).

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CompareLLM Matrix

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LIVE

Anthropic

Claude 3.5 Sonnet

Elo 1,280

LiveBench52.1%

SWE-bench49%

Speed80 tok/s

Output cost$15/1M

ByteDance

Doubao Pro 1.5

Elo 1,470

LiveBench64%

SWE-bench62.1%

Speed105 tok/s

Output cost$0.28/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Sonnet or Doubao Pro 1.5?: Doubao Pro 1.5 has the higher preference Elo in our latest snapshot (1,470). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude 3.5 Sonnet or Doubao Pro 1.5?: Doubao Pro 1.5 leads SWE-bench at 62.1% vs 49%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Doubao Pro 1.5 output tokens are $0.28/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Sonnet or Doubao Pro 1.5?: Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude 3.5 Sonnet accepts 200k 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. Claude 3.5 Sonnet and Doubao Pro 1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude 3.5 Sonnet matchups →|All Doubao Pro 1.5 matchups →

Claude 3.5 Sonnet vs Claude 3.7 Sonnet (next sonnet)Doubao Pro 1.5 vs Doubao Lite 1.5 (previous seed)Claude Opus 4.5 vs Doubao Pro 1.5 Claude Opus 4.6 vs Doubao Pro 1.5 Claude Sonnet 4.5 vs Doubao Pro 1.5 Claude Opus 5 vs Doubao Pro 1.5

Claude 3.5 Sonnet vs Doubao Pro 1.5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.5 Sonnet (1)vsDoubao Pro 1.5 (9)

Claude 3.5 Sonnet: 1W (10%)Overall: Doubao Pro 1.5Doubao Pro 1.5: 9W (90%)

← Claude 3.5 SonnetDoubao Pro 1.5 →

Doubao Pro 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,280vs1,470

Coding Elo

—vs1,465

SWE-bench

49%vs62.1%

LiveBench

52.1%vs64%

GPQA Diamond

65%vs77.5%

Claude 3.5 Sonnet: 0WDoubao Pro 1.5: 5W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

80 tok/svs105 tok/s

Time to first token

280 msvs190 ms

Claude 3.5 Sonnet: 0WDoubao Pro 1.5: 2W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.28/1M

Input price

$3/1Mvs$0.11/1M

Context window

200kvs128k

Claude 3.5 Sonnet: 1WDoubao Pro 1.5: 2W

Recommended Workload Routing

Repo / coding agentsDoubao Pro 1.5

Higher SWE-bench (62.1%).

High-volume chatDoubao Pro 1.5

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

Voice / low-latency UIDoubao Pro 1.5

Lower TTFT (190 ms).

Long-document RAGClaude 3.5 Sonnet

Larger window (200k).

Screenshots / visionDoubao Pro 1.5

Both accept images. Defaulting to the higher-Elo side (Doubao Pro 1.5).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Doubao Pro 1.5	Higher SWE-bench (62.1%).
High-volume chat	Doubao Pro 1.5	Lower output list price ($0.28/1M).
Voice / low-latency UI	Doubao Pro 1.5	Lower TTFT (190 ms).
Long-document RAG	Claude 3.5 Sonnet	Larger window (200k).
Screenshots / vision	Doubao Pro 1.5	Both accept images. Defaulting to the higher-Elo side (Doubao Pro 1.5).

Frequently Asked Questions

Which is better overall, Claude 3.5 Sonnet or Doubao Pro 1.5?

Doubao Pro 1.5 has the higher preference Elo in our latest snapshot (1,470). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude 3.5 Sonnet or Doubao Pro 1.5?

Doubao Pro 1.5 leads SWE-bench at 62.1% vs 49%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Doubao Pro 1.5 output tokens are $0.28/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.5 Sonnet or Doubao Pro 1.5?

Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude 3.5 Sonnet accepts 200k 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. Claude 3.5 Sonnet and Doubao Pro 1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.