Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.8 vs Doubao Pro 1.5 benchmark

Name: Claude Opus 4.8 vs Doubao Pro 1.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4.8 (Anthropic) and Doubao Pro 1.5 (ByteDance) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4.8 is ahead by 128 points (1,598 vs 1,470; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, Claude Opus 4.8 resolves 78.4% versus 62.1% (seed-bootstrap (Aug 16, 2026)). Doubao Pro 1.5 streams faster (105 tok/s) while Doubao Pro 1.5 is the cheaper output token ($0.28/1M). Claude Opus 4.8 has the larger context window (1M 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 Opus 4.8

Prior Opus generation still billed at $5/$25. Kept as a compare baseline against Opus 5.

Elo 1,598$25/1M 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 Opus 4.8 (6)vsDoubao Pro 1.5 (4)

Claude Opus 4.8: 6W (60%)Overall: Claude Opus 4.8Doubao Pro 1.5: 4W (40%)

← Claude Opus 4.8Doubao Pro 1.5 →

Claude Opus 4.8 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,598vs1,470

Coding Elo

1,604vs1,465

SWE-bench

78.4%vs62.1%

LiveBench

73.6%vs64%

GPQA Diamond

86.2%vs77.5%

Claude Opus 4.8: 5WDoubao Pro 1.5: 0W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

66 tok/svs105 tok/s

Time to first token

330 msvs190 ms

Claude Opus 4.8: 0WDoubao Pro 1.5: 2W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$0.28/1M

Input price

$5/1Mvs$0.11/1M

Context window

1Mvs128k

Claude Opus 4.8: 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 AdvantageClaude Opus 4.8 4/6

Preference Elo

Claude Opus 4.8

128 pts advantage

Throughput Speed

Doubao Pro 1.5

39 tok/s faster

Price Efficiency

Doubao Pro 1.5

$24.72/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+9%1,598

EloHigh is better

1,470

Code Elo

High is better

+9%1,604

Code EloHigh is better

1,465

LiveBench

High is better

+15%73.6%

LiveBenchHigh is better

64%

SWE-bench

High is better

+26%78.4%

SWE-benchHigh is better

62.1%

GPQA

High is better

+11%86.2%

GPQAHigh is better

77.5%

TTFT

Low is better

330 ms

TTFTLow is better

190 ms+74%

Speed

High is better

66 tok/s

SpeedHigh is better

105 tok/s+59%

In $

Low is better

$5/1M

In $Low is better

$0.11/1M+4445%

Out $

Low is better

$25/1M

Out $Low is better

$0.28/1M+8829%

Context

High is better

+681%1M

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 99% 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 Opus 4.8$550.00 / mo

In: $175.00Out: $375.00

Doubao Pro 1.5$8.05 / mo

In: $3.85Out: $4.20

Estimated Cost Delta

Doubao Pro 1.5 is estimated to save $541.95/month ($6,503/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4.8:Pick Claude Opus 4.8 when repo-level coding accuracy is the constraint.
2
Doubao Pro 1.5:Pick Doubao Pro 1.5 when you are optimizing output cost.
3
Doubao Pro 1.5:Pick Doubao Pro 1.5 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.8

Higher SWE-bench (78.4%).

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 Opus 4.8

Larger window (1M).

Screenshots / visionClaude Opus 4.8

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.8).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.8	Higher SWE-bench (78.4%).
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 Opus 4.8	Larger window (1M).
Screenshots / vision	Claude Opus 4.8	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.8).

Related Editorial Dispatches & Benchmark Notes

View all news

launchJun 20, 2026

Keep Opus 4.8 on the board: a baseline, not a flagship

Opus 4.8 still bills $5/$25. We keep it so Opus 5 vs 4.8 is a real generation delta, not marketing.

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LIVE

Anthropic

Claude Opus 4.8

Elo 1,598

LiveBench73.6%

SWE-bench78.4%

Speed66 tok/s

Output cost$25/1M

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 Opus 4.8 or Doubao Pro 1.5?: Claude Opus 4.8 has the higher preference Elo in our latest snapshot (1,598). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4.8 or Doubao Pro 1.5?: Claude Opus 4.8 leads SWE-bench at 78.4% vs 62.1%. 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 $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.8 or Doubao Pro 1.5?: Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 330 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Opus 4.8 accepts 1M 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 Opus 4.8 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 Opus 4.8 matchups →|All Doubao Pro 1.5 matchups →

Claude Opus 4.8 vs Claude Opus 4.6 (previous opus)Claude Opus 4.8 vs Claude Opus 5 (next opus)Doubao Pro 1.5 vs Doubao Lite 1.5 (previous seed)Doubao Pro 1.5 vs Seed 2.1 Turbo (next seed)Claude Fable 5 vs Claude Opus 4.8 Claude Opus 4.5 vs Claude Opus 4.8

Claude Opus 4.8 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 Opus 4.8 (6)vsDoubao Pro 1.5 (4)

Claude Opus 4.8: 6W (60%)Overall: Claude Opus 4.8Doubao Pro 1.5: 4W (40%)

← Claude Opus 4.8Doubao Pro 1.5 →

Claude Opus 4.8 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,598vs1,470

Coding Elo

1,604vs1,465

SWE-bench

78.4%vs62.1%

LiveBench

73.6%vs64%

GPQA Diamond

86.2%vs77.5%

Claude Opus 4.8: 5WDoubao Pro 1.5: 0W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

66 tok/svs105 tok/s

Time to first token

330 msvs190 ms

Claude Opus 4.8: 0WDoubao Pro 1.5: 2W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$0.28/1M

Input price

$5/1Mvs$0.11/1M

Context window

1Mvs128k

Claude Opus 4.8: 1WDoubao Pro 1.5: 2W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.8

Higher SWE-bench (78.4%).

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 Opus 4.8

Larger window (1M).

Screenshots / visionClaude Opus 4.8

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.8).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.8	Higher SWE-bench (78.4%).
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 Opus 4.8	Larger window (1M).
Screenshots / vision	Claude Opus 4.8	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.8).

Frequently Asked Questions

Which is better overall, Claude Opus 4.8 or Doubao Pro 1.5?

Claude Opus 4.8 has the higher preference Elo in our latest snapshot (1,598). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4.8 or Doubao Pro 1.5?

Claude Opus 4.8 leads SWE-bench at 78.4% vs 62.1%. 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 $25/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4.8 or Doubao Pro 1.5?

Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 330 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Opus 4.8 accepts 1M 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 Opus 4.8 and Doubao Pro 1.5 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

Claude Opus 4.8

Doubao Pro 1.5

Doubao Pro 1.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Keep Opus 4.8 on the board: a baseline, not a flagship

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Claude Opus 4.8

Doubao Pro 1.5

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

Claude Opus 4.8

Doubao Pro 1.5

Doubao Pro 1.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Keep Opus 4.8 on the board: a baseline, not a flagship

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.8

Doubao Pro 1.5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons