Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Qwen 2.5 Plus vs Qwen: Qwen3.5 397B A17B benchmark

Name: Qwen 2.5 Plus vs Qwen: Qwen3.5 397B A17B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Qwen 2.5 Plus (Alibaba) and Qwen: Qwen3.5 397B A17B (Alibaba) using the latest snapshots we have as of Aug 17, 2026. Qwen 2.5 Plus wins on output price at $1/1M. Qwen: Qwen3.5 397B A17B 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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Alibaba

Qwen 2.5 Plus

Alibaba balanced flagship API model with high-throughput general reasoning.

Elo 1,445$1/1M out

Alibaba

Qwen: Qwen3.5 397B A17B

Auto-discovered from OpenRouter (qwen/qwen3.5-397b-a17b). Preview until a second source matches.

$2.34/1M 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.

Qwen 2.5 Plus (9)vsQwen: Qwen3.5 397B A17B (1)

Qwen 2.5 Plus: 9W (90%)Overall: Qwen 2.5 PlusQwen: Qwen3.5 397B A17B: 1W (10%)

← Qwen 2.5 PlusQwen: Qwen3.5 397B A17B →

Qwen 2.5 Plus (5/5)

Intelligence & Reasoning

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

Preference Elo

1,445vs—

Coding Elo

1,460vs—

SWE-bench

59.2%vs—

LiveBench

63.5%vs—

GPQA Diamond

75.8%vs—

Qwen 2.5 Plus: 5WQwen: Qwen3.5 397B A17B: 0W

Qwen 2.5 Plus (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs—

Time to first token

180 msvs—

Qwen 2.5 Plus: 2WQwen: Qwen3.5 397B A17B: 0W

Qwen 2.5 Plus (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1/1Mvs$2.34/1M

Input price

$0.25/1Mvs$0.39/1M

Context window

128kvs262k

Qwen 2.5 Plus: 2WQwen: Qwen3.5 397B A17B: 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 AdvantageQwen 2.5 Plus 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

Qwen 2.5 Plus

$1.34/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,445

EloHigh is better

—

Code Elo

High is better

1,460

Code EloHigh is better

—

LiveBench

High is better

63.5%

LiveBenchHigh is better

—

SWE-bench

High is better

59.2%

SWE-benchHigh is better

—

GPQA

High is better

75.8%

GPQAHigh is better

—

TTFT

Low is better

180 ms

TTFTLow is better

—

Speed

High is better

110 tok/s

SpeedHigh is better

—

In $

Low is better

+56%$0.25 / 1M

In $Low is better

$0.39 / 1M

Out $

Low is better

+134%$1.00 / 1M

Out $Low is better

$2.34 / 1M

Context

High is better

128k

ContextHigh is better

262k+105%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 51% with Qwen 2.5 Plus

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Qwen 2.5 Plus$23.75 / mo

In: $8.75Out: $15

Qwen: Qwen3.5 397B A17B$48.75 / mo

In: $13.65Out: $35.1

Estimated Cost Delta

Qwen 2.5 Plus is estimated to save $25.00/month ($300/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen 2.5 Plus:Pick Qwen 2.5 Plus when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen 2.5 Plus

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.5 397B A17B

Larger window (262k).

Screenshots / visionQwen 2.5 Plus

Qwen 2.5 Plus is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen 2.5 Plus	Lower output list price ($1/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.5 397B A17B	Larger window (262k).
Screenshots / vision	Qwen 2.5 Plus	Qwen 2.5 Plus is the side marked multimodal in the catalog.

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CompareLLM Matrix

Verified head-to-head card

LIVE

Alibaba

Qwen 2.5 Plus

Elo 1,445

LiveBench63.5%

SWE-bench59.2%

Speed110 tok/s

Output cost$1/1M

Alibaba

Qwen: Qwen3.5 397B A17B

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$2.34/1M

Frequently Asked Questions

Which is better overall, Qwen 2.5 Plus or Qwen: Qwen3.5 397B A17B?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Qwen 2.5 Plus or Qwen: Qwen3.5 397B A17B?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Qwen 2.5 Plus output tokens are $1/1M versus $2.34/1M. Input prices and retry rates still move the real bill.
Which is faster, Qwen 2.5 Plus or Qwen: Qwen3.5 397B A17B?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3.5 397B A17B 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. Qwen 2.5 Plus and Qwen: Qwen3.5 397B A17B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Qwen 2.5 Plus matchups →|All Qwen: Qwen3.5 397B A17B matchups →

Qwen 2.5 Plus vs Qwen2.5 Coder 32B Instruct (previous qwen)Qwen 2.5 Plus vs Qwen 2.5 Coder 32B (next qwen)Qwen 3 Max vs Qwen 2.5 Plus Qwen QwQ 32B vs Qwen 2.5 Plus Qwen3 235B vs Qwen 2.5 Plus Mistral Large 3 vs Qwen 2.5 Plus

Qwen 2.5 Plus vs Qwen: Qwen3.5 397B A17B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Qwen 2.5 Plus (9)vsQwen: Qwen3.5 397B A17B (1)

Qwen 2.5 Plus: 9W (90%)Overall: Qwen 2.5 PlusQwen: Qwen3.5 397B A17B: 1W (10%)

← Qwen 2.5 PlusQwen: Qwen3.5 397B A17B →

Qwen 2.5 Plus (5/5)

Intelligence & Reasoning

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

Preference Elo

1,445vs—

Coding Elo

1,460vs—

SWE-bench

59.2%vs—

LiveBench

63.5%vs—

GPQA Diamond

75.8%vs—

Qwen 2.5 Plus: 5WQwen: Qwen3.5 397B A17B: 0W

Qwen 2.5 Plus (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

110 tok/svs—

Time to first token

180 msvs—

Qwen 2.5 Plus: 2WQwen: Qwen3.5 397B A17B: 0W

Qwen 2.5 Plus (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1/1Mvs$2.34/1M

Input price

$0.25/1Mvs$0.39/1M

Context window

128kvs262k

Qwen 2.5 Plus: 2WQwen: Qwen3.5 397B A17B: 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen 2.5 Plus

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.5 397B A17B

Larger window (262k).

Screenshots / visionQwen 2.5 Plus

Qwen 2.5 Plus is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen 2.5 Plus	Lower output list price ($1/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.5 397B A17B	Larger window (262k).
Screenshots / vision	Qwen 2.5 Plus	Qwen 2.5 Plus is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Qwen 2.5 Plus or Qwen: Qwen3.5 397B A17B?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Qwen 2.5 Plus or Qwen: Qwen3.5 397B A17B?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Qwen 2.5 Plus output tokens are $1/1M versus $2.34/1M. Input prices and retry rates still move the real bill.

Which is faster, Qwen 2.5 Plus or Qwen: Qwen3.5 397B A17B?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3.5 397B A17B 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. Qwen 2.5 Plus and Qwen: Qwen3.5 397B A17B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.