Pairwise benchmark snapshot · Aug 16, 2026

DeepSeek V4 Flash vs Doubao Pro 1.5 benchmark

Name: DeepSeek V4 Flash vs Doubao Pro 1.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares DeepSeek V4 Flash (DeepSeek) and Doubao Pro 1.5 (ByteDance) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, DeepSeek V4 Flash is ahead by 20 points (1,490 vs 1,470; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, DeepSeek V4 Flash resolves 71.2% versus 62.1% (seed-bootstrap (Aug 16, 2026)). DeepSeek V4 Flash streams faster (142 tok/s) while DeepSeek V4 Flash is the cheaper output token ($0.28/1M). DeepSeek V4 Flash 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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DeepSeek

DeepSeek V4 Flash

DeepSeek Jul 31 2026 price-performance SKU. Public listings put it near $0.14/$0.28 per 1M tokens.

Elo 1,490$0.28/1M 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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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.

DeepSeek V4 Flash (8)vsDoubao Pro 1.5 (1)

DeepSeek V4 Flash: 8W (89%)Overall: DeepSeek V4 FlashDoubao Pro 1.5: 1W (11%)

← DeepSeek V4 Flash1 tiesDoubao Pro 1.5 →

DeepSeek V4 Flash (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,470

Coding Elo

1,516vs1,465

SWE-bench

71.2%vs62.1%

LiveBench

67.8%vs64%

GPQA Diamond

81.6%vs77.5%

DeepSeek V4 Flash: 5WDoubao Pro 1.5: 0W

DeepSeek V4 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

142 tok/svs105 tok/s

Time to first token

165 msvs190 ms

DeepSeek V4 Flash: 2WDoubao Pro 1.5: 0W

Tied (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.28/1M

Input price

$0.14/1Mvs$0.11/1M

Context window

1Mvs128k

DeepSeek V4 Flash: 1WDoubao Pro 1.5: 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 AdvantageDeepSeek V4 Flash 5/6

Preference Elo

DeepSeek V4 Flash

20 pts advantage

Throughput Speed

DeepSeek V4 Flash

37 tok/s faster

Price Efficiency

DeepSeek V4 Flash

Same token price

Full Benchmark Score Matrix

—

Elo

High is better

+1%1,490

EloHigh is better

1,470

Code Elo

High is better

+3%1,516

Code EloHigh is better

1,465

LiveBench

High is better

+6%67.8%

LiveBenchHigh is better

64%

SWE-bench

High is better

+15%71.2%

SWE-benchHigh is better

62.1%

GPQA

High is better

+5%81.6%

GPQAHigh is better

77.5%

TTFT

Low is better

+15%165 ms

TTFTLow is better

190 ms

Speed

High is better

+35%142 tok/s

SpeedHigh is better

105 tok/s

In $

Low is better

$0.14/1M

In $Low is better

$0.11/1M+27%

Out $

Low is better

$0.28/1M

Out $Low is better

$0.28/1M

Context

High is better

+719%1M

ContextHigh is better

128k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 12% 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)

DeepSeek V4 Flash$9.10 / mo

In: $4.90Out: $4.20

Doubao Pro 1.5$8.05 / mo

In: $3.85Out: $4.20

Estimated Cost Delta

Doubao Pro 1.5 is estimated to save $1.05/month ($13/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
DeepSeek V4 Flash:Pick DeepSeek V4 Flash when repo-level coding accuracy is the constraint.
2
DeepSeek V4 Flash:Pick DeepSeek V4 Flash when time-to-first-token matters more than peak Elo.
3
DeepSeek V4 Flash:Pick DeepSeek V4 Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsDeepSeek V4 Flash

Higher SWE-bench (71.2%).

High-volume chatDeepSeek V4 Flash

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

Voice / low-latency UIDeepSeek V4 Flash

Lower TTFT (165 ms).

Long-document RAGDeepSeek V4 Flash

Larger window (1M).

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	DeepSeek V4 Flash	Higher SWE-bench (71.2%).
High-volume chat	DeepSeek V4 Flash	Lower output list price ($0.28/1M).
Voice / low-latency UI	DeepSeek V4 Flash	Lower TTFT (165 ms).
Long-document RAG	DeepSeek V4 Flash	Larger window (1M).
Screenshots / vision	Doubao Pro 1.5	Doubao Pro 1.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

priceJul 31, 2026

DeepSeek V4 Flash (Jul 31): the $0.14/$0.28 price-performance SKU

Public listings put Flash near $0.14/$0.28 per 1M. That is a batch SKU, not a chatbot crown.

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LIVE

DeepSeek

DeepSeek V4 Flash

Elo 1,490

LiveBench67.8%

SWE-bench71.2%

Speed142 tok/s

Output cost$0.28/1M

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, DeepSeek V4 Flash or Doubao Pro 1.5?: DeepSeek V4 Flash has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, DeepSeek V4 Flash or Doubao Pro 1.5?: DeepSeek V4 Flash leads SWE-bench at 71.2% vs 62.1%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: DeepSeek V4 Flash output tokens are $0.28/1M versus $0.28/1M. Input prices and retry rates still move the real bill.
Which is faster, DeepSeek V4 Flash or Doubao Pro 1.5?: DeepSeek V4 Flash has the lower time-to-first-token (165 ms vs 190 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: DeepSeek V4 Flash accepts 1M tokens versus 128k.
Can I self-host either model?: DeepSeek V4 Flash is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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. DeepSeek V4 Flash 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 DeepSeek V4 Flash matchups →|All Doubao Pro 1.5 matchups →

DeepSeek V4 Flash vs DeepSeek V4 Pro (previous deepseek)Doubao Pro 1.5 vs Doubao Lite 1.5 (previous seed)Doubao Pro 1.5 vs Seed 2.1 Turbo (next seed)Gemini 2.0 Flash Thinking vs DeepSeek V4 Flash GLM-5.2 vs DeepSeek V4 Flash Gemini 3 Flash vs DeepSeek V4 Flash

DeepSeek V4 Flash vs Doubao Pro 1.5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

DeepSeek V4 Flash (8)vsDoubao Pro 1.5 (1)

DeepSeek V4 Flash: 8W (89%)Overall: DeepSeek V4 FlashDoubao Pro 1.5: 1W (11%)

← DeepSeek V4 Flash1 tiesDoubao Pro 1.5 →

DeepSeek V4 Flash (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,470

Coding Elo

1,516vs1,465

SWE-bench

71.2%vs62.1%

LiveBench

67.8%vs64%

GPQA Diamond

81.6%vs77.5%

DeepSeek V4 Flash: 5WDoubao Pro 1.5: 0W

DeepSeek V4 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

142 tok/svs105 tok/s

Time to first token

165 msvs190 ms

DeepSeek V4 Flash: 2WDoubao Pro 1.5: 0W

Tied (1/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.28/1M

Input price

$0.14/1Mvs$0.11/1M

Context window

1Mvs128k

DeepSeek V4 Flash: 1WDoubao Pro 1.5: 1W

Recommended Workload Routing

Repo / coding agentsDeepSeek V4 Flash

Higher SWE-bench (71.2%).

High-volume chatDeepSeek V4 Flash

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

Voice / low-latency UIDeepSeek V4 Flash

Lower TTFT (165 ms).

Long-document RAGDeepSeek V4 Flash

Larger window (1M).

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	DeepSeek V4 Flash	Higher SWE-bench (71.2%).
High-volume chat	DeepSeek V4 Flash	Lower output list price ($0.28/1M).
Voice / low-latency UI	DeepSeek V4 Flash	Lower TTFT (165 ms).
Long-document RAG	DeepSeek V4 Flash	Larger window (1M).
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, DeepSeek V4 Flash or Doubao Pro 1.5?

DeepSeek V4 Flash has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, DeepSeek V4 Flash or Doubao Pro 1.5?

DeepSeek V4 Flash leads SWE-bench at 71.2% vs 62.1%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

DeepSeek V4 Flash output tokens are $0.28/1M versus $0.28/1M. Input prices and retry rates still move the real bill.

Which is faster, DeepSeek V4 Flash or Doubao Pro 1.5?

DeepSeek V4 Flash has the lower time-to-first-token (165 ms vs 190 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

DeepSeek V4 Flash accepts 1M tokens versus 128k.

Can I self-host either model?

DeepSeek V4 Flash is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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. DeepSeek V4 Flash and Doubao Pro 1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

DeepSeek V4 Flash

DeepSeek V4 Flash

DeepSeek V4 Flash

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

DeepSeek V4 Flash (Jul 31): the $0.14/$0.28 price-performance SKU

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DeepSeek V4 Flash

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

DeepSeek V4 Flash

DeepSeek V4 Flash

DeepSeek V4 Flash

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

DeepSeek V4 Flash (Jul 31): the $0.14/$0.28 price-performance SKU

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

DeepSeek V4 Flash

Doubao Pro 1.5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons