Pairwise benchmark snapshot · Aug 17, 2026

Doubao Pro 1.5 vs Kimi Chat 1.5 benchmark

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

This page compares Doubao Pro 1.5 (ByteDance) and Kimi Chat 1.5 (Moonshot) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Doubao Pro 1.5 is ahead by 50 points (1,470 vs 1,420; lmarena (Aug 17, 2026)). On SWE-bench coding, Doubao Pro 1.5 resolves 62.1% versus 51% (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). Kimi Chat 1.5 has the larger context window (2M 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

Moonshot

Kimi Chat 1.5

Moonshot ultra-long context model supporting up to 2 million tokens per request.

Elo 1,420$0.8/1M 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.

Doubao Pro 1.5 (9)vsKimi Chat 1.5 (1)

Doubao Pro 1.5: 9W (90%)Overall: Doubao Pro 1.5Kimi Chat 1.5: 1W (10%)

← Doubao Pro 1.5Kimi Chat 1.5 →

Doubao Pro 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs1,420

Coding Elo

1,465vs1,390

SWE-bench

62.1%vs51%

LiveBench

64%vs58%

GPQA Diamond

77.5%vs71.5%

Doubao Pro 1.5: 5WKimi Chat 1.5: 0W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs95 tok/s

Time to first token

190 msvs210 ms

Doubao Pro 1.5: 2WKimi Chat 1.5: 0W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.8/1M

Input price

$0.11/1Mvs$0.2/1M

Context window

128kvs2M

Doubao Pro 1.5: 2WKimi Chat 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 AdvantageDoubao Pro 1.5 5/6

Preference Elo

Doubao Pro 1.5

50 pts advantage

Throughput Speed

Doubao Pro 1.5

10 tok/s faster

Price Efficiency

Doubao Pro 1.5

$0.52/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+4%1,470

EloHigh is better

1,420

Code Elo

High is better

+5%1,465

Code EloHigh is better

1,390

LiveBench

High is better

+10%64%

LiveBenchHigh is better

58%

SWE-bench

High is better

+22%62.1%

SWE-benchHigh is better

51%

GPQA

High is better

+8%77.5%

GPQAHigh is better

71.5%

TTFT

Low is better

+11%190 ms

TTFTLow is better

210 ms

Speed

High is better

+11%105 tok/s

SpeedHigh is better

95 tok/s

In $

Low is better

+82%$0.11/1M

In $Low is better

$0.2/1M

Out $

Low is better

+186%$0.28/1M

Out $Low is better

$0.8/1M

Context

High is better

128k

ContextHigh is better

2M+1463%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 58% 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

Kimi Chat 1.5$19.00 / mo

In: $7.00Out: $12.00

Estimated Cost Delta

Doubao Pro 1.5 is estimated to save $10.95/month ($131/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
Kimi Chat 1.5:Pick Kimi Chat 1.5 for million-token RAG or long-document jobs.

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 RAGKimi Chat 1.5

Larger window (2M).

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	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	Kimi Chat 1.5	Larger window (2M).
Screenshots / vision	Doubao Pro 1.5	Doubao Pro 1.5 is the side marked multimodal in the catalog.

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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

Moonshot

Kimi Chat 1.5

Elo 1,420

LiveBench58%

SWE-bench51%

Speed95 tok/s

Output cost$0.8/1M

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 or Kimi Chat 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, Doubao Pro 1.5 or Kimi Chat 1.5?: Doubao Pro 1.5 leads SWE-bench at 62.1% vs 51%. 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 $0.8/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Pro 1.5 or Kimi Chat 1.5?: Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 210 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Kimi Chat 1.5 accepts 2M 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 Kimi Chat 1.5 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 Kimi Chat 1.5 matchups →

Doubao Pro 1.5 vs Doubao Lite 1.5 (previous seed)Kimi Chat 1.5 vs MoonshotAI: Kimi K2 0711 (next kimi)Kimi K3 vs Doubao Pro 1.5 Seed 2.1 Turbo vs Doubao Pro 1.5 MoonshotAI: Kimi K2 0711 vs Doubao Pro 1.5 MoonshotAI: Kimi K2.5 vs Doubao Pro 1.5

Doubao Pro 1.5 vs Kimi Chat 1.5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Pro 1.5 (9)vsKimi Chat 1.5 (1)

Doubao Pro 1.5: 9W (90%)Overall: Doubao Pro 1.5Kimi Chat 1.5: 1W (10%)

← Doubao Pro 1.5Kimi Chat 1.5 →

Doubao Pro 1.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs1,420

Coding Elo

1,465vs1,390

SWE-bench

62.1%vs51%

LiveBench

64%vs58%

GPQA Diamond

77.5%vs71.5%

Doubao Pro 1.5: 5WKimi Chat 1.5: 0W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs95 tok/s

Time to first token

190 msvs210 ms

Doubao Pro 1.5: 2WKimi Chat 1.5: 0W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$0.8/1M

Input price

$0.11/1Mvs$0.2/1M

Context window

128kvs2M

Doubao Pro 1.5: 2WKimi Chat 1.5: 1W

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 RAGKimi Chat 1.5

Larger window (2M).

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	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	Kimi Chat 1.5	Larger window (2M).
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 Kimi Chat 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, Doubao Pro 1.5 or Kimi Chat 1.5?

Doubao Pro 1.5 leads SWE-bench at 62.1% vs 51%. 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 $0.8/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Pro 1.5 or Kimi Chat 1.5?

Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 210 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Kimi Chat 1.5 accepts 2M 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 Kimi Chat 1.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.