Pairwise benchmark snapshot · Aug 1, 2026

Doubao Pro 1.5 vs Gemini 2.0 Flash Thinking benchmark

Name: Doubao Pro 1.5 vs Gemini 2.0 Flash Thinking AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Doubao Pro 1.5 (ByteDance) and Gemini 2.0 Flash Thinking (Google) using the latest snapshots we have as of Aug 1, 2026. On preference Elo, Gemini 2.0 Flash Thinking is ahead by 20 points (1,490 vs 1,470; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Gemini 2.0 Flash Thinking resolves 66.8% versus 62.1% (seed-bootstrap (Aug 1, 2026)). Gemini 2.0 Flash Thinking streams faster (115 tok/s) while Doubao Pro 1.5 is the cheaper output token ($0.28/1M). Gemini 2.0 Flash Thinking 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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ByteDance

Doubao Pro 1.5

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

Elo 1,470$0.28/1M out

Google

Gemini 2.0 Flash Thinking

Google experimental reasoning model that visualizes thoughts in real-time.

Elo 1,490$0.4/1M 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 (2)vsGemini 2.0 Flash Thinking (8)

Doubao Pro 1.5: 2W (20%)Overall: Gemini 2.0 Flash ThinkingGemini 2.0 Flash Thinking: 8W (80%)

← Doubao Pro 1.5Gemini 2.0 Flash Thinking →

Gemini 2.0 Flash Thinking (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs1,490

Coding Elo

1,465vs1,515

SWE-bench

62.1%vs66.8%

LiveBench

64%vs67%

GPQA Diamond

77.5%vs81%

Doubao Pro 1.5: 0WGemini 2.0 Flash Thinking: 5W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs115 tok/s

Time to first token

190 msvs220 ms

Doubao Pro 1.5: 1WGemini 2.0 Flash Thinking: 1W

Gemini 2.0 Flash Thinking (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.4/1M

Input price

$0.11/1Mvs$0.1/1M

Context window

128kvs1M

Doubao Pro 1.5: 1WGemini 2.0 Flash Thinking: 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 AdvantageGemini 2.0 Flash Thinking 4/6

Preference Elo

Gemini 2.0 Flash Thinking

20 pts advantage

Throughput Speed

Gemini 2.0 Flash Thinking

10 tok/s faster

Price Efficiency

Doubao Pro 1.5

$0.12/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,470

EloHigh is better

1,490+1%

Code Elo

High is better

1,465

Code EloHigh is better

1,515+3%

LiveBench

High is better

64%

LiveBenchHigh is better

67%+5%

SWE-bench

High is better

62.1%

SWE-benchHigh is better

66.8%+8%

GPQA

High is better

77.5%

GPQAHigh is better

81%+5%

TTFT

Low is better

+16%190 ms

TTFTLow is better

220 ms

Speed

High is better

105 tok/s

SpeedHigh is better

115 tok/s+10%

In $

Low is better

$0.11/1M

In $Low is better

$0.1/1M+10%

Out $

Low is better

+43%$0.28/1M

Out $Low is better

$0.4/1M

Context

High is better

128k

ContextHigh is better

1M+719%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 15% 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

Gemini 2.0 Flash Thinking$9.50 / mo

In: $3.50Out: $6.00

Estimated Cost Delta

Doubao Pro 1.5 is estimated to save $1.45/month ($17/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Gemini 2.0 Flash Thinking:Pick Gemini 2.0 Flash Thinking 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 agentsGemini 2.0 Flash Thinking

Higher SWE-bench (66.8%).

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 RAGGemini 2.0 Flash Thinking

Larger window (1M).

Screenshots / visionGemini 2.0 Flash Thinking

Both accept images. Defaulting to the higher-Elo side (Gemini 2.0 Flash Thinking).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Gemini 2.0 Flash Thinking	Higher SWE-bench (66.8%).
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	Gemini 2.0 Flash Thinking	Larger window (1M).
Screenshots / vision	Gemini 2.0 Flash Thinking	Both accept images. Defaulting to the higher-Elo side (Gemini 2.0 Flash Thinking).

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CompareLLM Matrix

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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

Google

Gemini 2.0 Flash Thinking

Elo 1,490

LiveBench67%

SWE-bench66.8%

Speed115 tok/s

Output cost$0.4/1M

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 or Gemini 2.0 Flash Thinking?: Gemini 2.0 Flash Thinking 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, Doubao Pro 1.5 or Gemini 2.0 Flash Thinking?: Gemini 2.0 Flash Thinking leads SWE-bench at 66.8% 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 $0.4/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Pro 1.5 or Gemini 2.0 Flash Thinking?: Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Gemini 2.0 Flash Thinking 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. Doubao Pro 1.5 and Gemini 2.0 Flash Thinking 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 Gemini 2.0 Flash Thinking matchups →

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 Gemini 2.5 Flash (next gemini-flash)Gemini 3 Flash vs Gemini 2.0 Flash Thinking Gemini 3.6 Flash vs Gemini 2.0 Flash Thinking Gemini 3.7 Flash vs Gemini 2.0 Flash Thinking

Doubao Pro 1.5 vs Gemini 2.0 Flash Thinking benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Pro 1.5 (2)vsGemini 2.0 Flash Thinking (8)

Doubao Pro 1.5: 2W (20%)Overall: Gemini 2.0 Flash ThinkingGemini 2.0 Flash Thinking: 8W (80%)

← Doubao Pro 1.5Gemini 2.0 Flash Thinking →

Gemini 2.0 Flash Thinking (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs1,490

Coding Elo

1,465vs1,515

SWE-bench

62.1%vs66.8%

LiveBench

64%vs67%

GPQA Diamond

77.5%vs81%

Doubao Pro 1.5: 0WGemini 2.0 Flash Thinking: 5W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs115 tok/s

Time to first token

190 msvs220 ms

Doubao Pro 1.5: 1WGemini 2.0 Flash Thinking: 1W

Gemini 2.0 Flash Thinking (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.4/1M

Input price

$0.11/1Mvs$0.1/1M

Context window

128kvs1M

Doubao Pro 1.5: 1WGemini 2.0 Flash Thinking: 2W

Recommended Workload Routing

Repo / coding agentsGemini 2.0 Flash Thinking

Higher SWE-bench (66.8%).

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 RAGGemini 2.0 Flash Thinking

Larger window (1M).

Screenshots / visionGemini 2.0 Flash Thinking

Both accept images. Defaulting to the higher-Elo side (Gemini 2.0 Flash Thinking).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Gemini 2.0 Flash Thinking	Higher SWE-bench (66.8%).
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	Gemini 2.0 Flash Thinking	Larger window (1M).
Screenshots / vision	Gemini 2.0 Flash Thinking	Both accept images. Defaulting to the higher-Elo side (Gemini 2.0 Flash Thinking).

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 or Gemini 2.0 Flash Thinking?

Gemini 2.0 Flash Thinking 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, Doubao Pro 1.5 or Gemini 2.0 Flash Thinking?

Gemini 2.0 Flash Thinking leads SWE-bench at 66.8% 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 $0.4/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Pro 1.5 or Gemini 2.0 Flash Thinking?

Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Gemini 2.0 Flash Thinking 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. Doubao Pro 1.5 and Gemini 2.0 Flash Thinking Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.