Pairwise benchmark snapshot · Aug 16, 2026

Doubao Pro 1.5 vs MoonshotAI: Kimi K2.5 benchmark

Name: Doubao Pro 1.5 vs MoonshotAI: Kimi K2.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Doubao Pro 1.5 (ByteDance) and MoonshotAI: Kimi K2.5 (Moonshot) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, MoonshotAI: Kimi K2.5 is ahead by 45 points (1,515 vs 1,470; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, MoonshotAI: Kimi K2.5 resolves 71.3% versus 62.1% (seed-bootstrap (Aug 1, 2026)). Doubao Pro 1.5 streams faster (105 tok/s) while Doubao Pro 1.5 is the cheaper output token ($0.28/1M). MoonshotAI: Kimi K2.5 has the larger context window (262k 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

MoonshotAI: Kimi K2.5

Auto-discovered from OpenRouter (moonshotai/kimi-k2.5). Preview until a second source matches.

Elo 1,515$2.8499999999999996/1M 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 (4)vsMoonshotAI: Kimi K2.5 (6)

Doubao Pro 1.5: 4W (40%)Overall: MoonshotAI: Kimi K2.5MoonshotAI: Kimi K2.5: 6W (60%)

← Doubao Pro 1.5MoonshotAI: Kimi K2.5 →

MoonshotAI: Kimi K2.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs1,515

Coding Elo

1,465vs1,520

SWE-bench

62.1%vs71.3%

LiveBench

64%vs67.2%

GPQA Diamond

77.5%vs87.6%

Doubao Pro 1.5: 0WMoonshotAI: Kimi K2.5: 5W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs72 tok/s

Time to first token

190 msvs270 ms

Doubao Pro 1.5: 2WMoonshotAI: Kimi K2.5: 0W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$2.85/1M

Input price

$0.11/1Mvs$0.57/1M

Context window

128kvs262k

Doubao Pro 1.5: 2WMoonshotAI: Kimi K2.5: 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 AdvantageMoonshotAI: Kimi K2.5 4/6

Preference Elo

MoonshotAI: Kimi K2.5

45 pts advantage

Throughput Speed

Doubao Pro 1.5

33 tok/s faster

Price Efficiency

Doubao Pro 1.5

$2.57/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,470

EloHigh is better

1,515+3%

Code Elo

High is better

1,465

Code EloHigh is better

1,520+4%

LiveBench

High is better

64%

LiveBenchHigh is better

67.2%+5%

SWE-bench

High is better

62.1%

SWE-benchHigh is better

71.3%+15%

GPQA

High is better

77.5%

GPQAHigh is better

87.6%+13%

TTFT

Low is better

+42%190 ms

TTFTLow is better

270 ms

Speed

High is better

+46%105 tok/s

SpeedHigh is better

72 tok/s

In $

Low is better

+418%$0.11/1M

In $Low is better

$0.57/1M

Out $

Low is better

+918%$0.28/1M

Out $Low is better

$2.85/1M

Context

High is better

128k

ContextHigh is better

262k+105%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 87% 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

MoonshotAI: Kimi K2.5$62.70 / mo

In: $19.95Out: $42.75

Estimated Cost Delta

Doubao Pro 1.5 is estimated to save $54.65/month ($656/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
MoonshotAI: Kimi K2.5:Pick MoonshotAI: Kimi K2.5 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 agentsMoonshotAI: Kimi K2.5

Higher SWE-bench (71.3%).

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 RAGMoonshotAI: Kimi K2.5

Larger window (262k).

Screenshots / visionMoonshotAI: Kimi K2.5

Both accept images. Defaulting to the higher-Elo side (MoonshotAI: Kimi K2.5).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MoonshotAI: Kimi K2.5	Higher SWE-bench (71.3%).
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	MoonshotAI: Kimi K2.5	Larger window (262k).
Screenshots / vision	MoonshotAI: Kimi K2.5	Both accept images. Defaulting to the higher-Elo side (MoonshotAI: Kimi K2.5).

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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

MoonshotAI: Kimi K2.5

Elo 1,515

LiveBench67.2%

SWE-bench71.3%

Speed72 tok/s

Output cost$2.85/1M

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 or MoonshotAI: Kimi K2.5?: MoonshotAI: Kimi K2.5 has the higher preference Elo in our latest snapshot (1,515). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Doubao Pro 1.5 or MoonshotAI: Kimi K2.5?: MoonshotAI: Kimi K2.5 leads SWE-bench at 71.3% 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 $2.85/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Pro 1.5 or MoonshotAI: Kimi K2.5?: Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: MoonshotAI: Kimi K2.5 accepts 262k 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 MoonshotAI: Kimi K2.5 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 MoonshotAI: Kimi K2.5 matchups →

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

Doubao Pro 1.5 vs MoonshotAI: Kimi K2.5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Doubao Pro 1.5 (4)vsMoonshotAI: Kimi K2.5 (6)

Doubao Pro 1.5: 4W (40%)Overall: MoonshotAI: Kimi K2.5MoonshotAI: Kimi K2.5: 6W (60%)

← Doubao Pro 1.5MoonshotAI: Kimi K2.5 →

MoonshotAI: Kimi K2.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,470vs1,515

Coding Elo

1,465vs1,520

SWE-bench

62.1%vs71.3%

LiveBench

64%vs67.2%

GPQA Diamond

77.5%vs87.6%

Doubao Pro 1.5: 0WMoonshotAI: Kimi K2.5: 5W

Doubao Pro 1.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

105 tok/svs72 tok/s

Time to first token

190 msvs270 ms

Doubao Pro 1.5: 2WMoonshotAI: Kimi K2.5: 0W

Doubao Pro 1.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.28/1Mvs$2.85/1M

Input price

$0.11/1Mvs$0.57/1M

Context window

128kvs262k

Doubao Pro 1.5: 2WMoonshotAI: Kimi K2.5: 1W

Recommended Workload Routing

Repo / coding agentsMoonshotAI: Kimi K2.5

Higher SWE-bench (71.3%).

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 RAGMoonshotAI: Kimi K2.5

Larger window (262k).

Screenshots / visionMoonshotAI: Kimi K2.5

Both accept images. Defaulting to the higher-Elo side (MoonshotAI: Kimi K2.5).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	MoonshotAI: Kimi K2.5	Higher SWE-bench (71.3%).
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	MoonshotAI: Kimi K2.5	Larger window (262k).
Screenshots / vision	MoonshotAI: Kimi K2.5	Both accept images. Defaulting to the higher-Elo side (MoonshotAI: Kimi K2.5).

Frequently Asked Questions

Which is better overall, Doubao Pro 1.5 or MoonshotAI: Kimi K2.5?

MoonshotAI: Kimi K2.5 has the higher preference Elo in our latest snapshot (1,515). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Doubao Pro 1.5 or MoonshotAI: Kimi K2.5?

MoonshotAI: Kimi K2.5 leads SWE-bench at 71.3% 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 $2.85/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Pro 1.5 or MoonshotAI: Kimi K2.5?

Doubao Pro 1.5 has the lower time-to-first-token (190 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

MoonshotAI: Kimi K2.5 accepts 262k 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 MoonshotAI: Kimi K2.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.