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

Qwen2.5 Coder 32B Instruct vs Arcee AI: Virtuoso Large benchmark

Name: Qwen2.5 Coder 32B Instruct vs Arcee AI: Virtuoso Large AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Qwen2.5 Coder 32B Instruct is more budget-friendly at $1/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Verified Head-to-Head Advantage Breakdown

3 direct benchmark disciplines evaluated across capability, speed, and cost

Qwen2.5 Coder 32B Instruct (2)Arcee AI: Virtuoso Large (1)

Qwen2.5 Coder 32B Instruct

2 of 3 Wins

✓Input price✓Output price

Arcee AI: Virtuoso Large

1 of 3 Wins

✓Context window

Alibaba

Leads 2 of 3 metrics

Qwen2.5 Coder 32B Instruct

Auto-discovered from OpenRouter (qwen/qwen-2.5-coder-32b-instruct). Preview until a second source matches.

Elo 1,425$1/1M out

arcee-ai

Leads 1 of 3 metrics

Arcee AI: Virtuoso Large

Auto-discovered from OpenRouter (arcee-ai/virtuoso-large). Preview until a second source matches.

$1.2/1M out

Top Rival Showdowns for Qwen2.5 Coder 32B Instruct

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderQwen2.5 Coder 32B Instruct Wins

Qwen2.5 Coder 32B Instruct

$1 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Qwen2.5 Coder 32B Instruct (6)vsArcee AI: Virtuoso Large (1)

Qwen2.5 Coder 32B Instruct: 6W (86%)Overall: Qwen2.5 Coder 32B InstructArcee AI: Virtuoso Large: 1W (14%)

← Qwen2.5 Coder 32B InstructArcee AI: Virtuoso Large →

🏆Qwen2.5 Coder 32B Instruct(4/5)

Intelligence & Reasoning

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

Benchmark

Qwen2.5 Coder 32B InstructvsArcee AI: Virtuoso Large

Preference Elo

1,425vs—

Coding Elo

1,495vs—

SWE-bench

65.2%vs—

LiveBench

64.8%vs—

GPQA Diamond

—vs—

Qwen2.5 Coder 32B Instruct: 4WArcee AI: Virtuoso Large: 0W

Tied (0-0)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Qwen2.5 Coder 32B InstructvsArcee AI: Virtuoso Large

Output speed

—vs—

Time to first token

—vs—

Qwen2.5 Coder 32B Instruct: 0WArcee AI: Virtuoso Large: 0W

🏆Qwen2.5 Coder 32B Instruct(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Qwen2.5 Coder 32B InstructvsArcee AI: Virtuoso Large

Output price

$1/1Mvs$1.2/1M+$0.2/1M

Input price

$0.66/1Mvs$0.75/1M+$0.09/1M

Context window

33kvs131k+98k

Qwen2.5 Coder 32B Instruct: 2WArcee AI: Virtuoso Large: 1W

Side-by-Side Benchmark Matrix

Preference Elo

Qwen2.5 Coder 32B Instruct1,425

lmarena · Aug 17, 2026

Arcee AI: Virtuoso Large—

Coding Elo

Qwen2.5 Coder 32B Instruct1,495

lmarena · Aug 17, 2026

Arcee AI: Virtuoso Large—

LiveBench

Qwen2.5 Coder 32B Instruct64.8%

livebench · Aug 17, 2026

Arcee AI: Virtuoso Large—

SWE-bench

Qwen2.5 Coder 32B Instruct65.2%

swebench · Aug 17, 2026

Arcee AI: Virtuoso Large—

Input price+$0.09/1M

Qwen2.5 Coder 32B Instruct$0.66/1M

openrouter · Aug 17, 2026

Arcee AI: Virtuoso Large$0.75/1M

openrouter · Aug 17, 2026

Output price+$0.2/1M

Qwen2.5 Coder 32B Instruct$1/1M

openrouter · Aug 17, 2026

Arcee AI: Virtuoso Large$1.2/1M

openrouter · Aug 17, 2026

Context window+98k

Qwen2.5 Coder 32B Instruct33k

openrouter · Aug 17, 2026

Arcee AI: Virtuoso Large131k

openrouter · Aug 17, 2026

Benchmark	Qwen2.5 Coder 32B Instruct	Arcee AI: Virtuoso Large	Advantage Delta
Preference Elo	1,425 lmarena · Aug 17, 2026	—	—
Coding Elo	1,495 lmarena · Aug 17, 2026	—	—
LiveBench	64.8% livebench · Aug 17, 2026	—	—
SWE-bench	65.2% swebench · Aug 17, 2026	—	—
Input price	$0.66/1M openrouter · Aug 17, 2026	$0.75/1M openrouter · Aug 17, 2026	+$0.09/1M
Output price	$1/1M openrouter · Aug 17, 2026	$1.2/1M openrouter · Aug 17, 2026	+$0.2/1M
Context window	33k openrouter · Aug 17, 2026	131k openrouter · Aug 17, 2026	+98k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 14% with Qwen2.5 Coder 32B Instruct

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Qwen2.5 Coder 32B Instruct$38.10 / mo

In: $23.1Out: $15

Arcee AI: Virtuoso Large$44.25 / mo

In: $26.25Out: $18

Estimated Cost Delta

Qwen2.5 Coder 32B Instruct is estimated to save $6.15/month ($74/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen2.5 Coder 32B Instruct:Pick Qwen2.5 Coder 32B Instruct when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen2.5 Coder 32B Instruct

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGArcee AI: Virtuoso Large

Larger window (131k).

Screenshots / visioninsufficient data

Neither side is marked as vision-capable.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen2.5 Coder 32B Instruct	Lower output list price ($1/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Arcee AI: Virtuoso Large	Larger window (131k).
Screenshots / vision	insufficient data	Neither side is marked as vision-capable.

Community Sentiment

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Alibaba

Qwen2.5 Coder 32B Instruct

Elo 1,425

SWE-bench65.2%

Speed (tok/s)33k

Input / 1M Tokens$0.66/1M

Output / 1M Tokens$1/1M

arcee-ai

Arcee AI: Virtuoso Large

Elo n/a

SWE-bench—

Speed (tok/s)131k

Input / 1M Tokens$0.75/1M

Output / 1M Tokens$1.2/1M

Frequently Asked Questions

Which is better overall, Qwen2.5 Coder 32B Instruct or Arcee AI: Virtuoso Large?: 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, Qwen2.5 Coder 32B Instruct or Arcee AI: Virtuoso Large?: 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?: Qwen2.5 Coder 32B Instruct output tokens are $1/1M versus $1.2/1M. Input prices and retry rates still move the real bill.
Which is faster, Qwen2.5 Coder 32B Instruct or Arcee AI: Virtuoso Large?: We do not have TTFT for both models.
Which has the larger context window?: Arcee AI: Virtuoso Large accepts 131k tokens versus 33k.
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. Qwen2.5 Coder 32B Instruct and Arcee AI: Virtuoso Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Qwen2.5 Coder 32B Instruct matchups →|All Arcee AI: Virtuoso Large matchups →

Qwen2.5 Coder 32B Instruct vs Qwen 2.5 Plus (next qwen)Qwen 3 Max vs Qwen2.5 Coder 32B Instruct Qwen QwQ 32B vs Qwen2.5 Coder 32B Instruct Qwen 2.5 Coder 32B vs Qwen2.5 Coder 32B Instruct Qwen3 235B vs Qwen2.5 Coder 32B Instruct Qwen3.8 27B vs Qwen2.5 Coder 32B Instruct

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect

0–100 %ile

Side-by-Side Benchmark Matrix

Preference Elo

Qwen2.5 Coder 32B Instruct1,425

lmarena · Aug 17, 2026

Arcee AI: Virtuoso Large—

Coding Elo

Qwen2.5 Coder 32B Instruct1,495

lmarena · Aug 17, 2026

Arcee AI: Virtuoso Large—

LiveBench

Qwen2.5 Coder 32B Instruct64.8%

livebench · Aug 17, 2026

Arcee AI: Virtuoso Large—

SWE-bench

Qwen2.5 Coder 32B Instruct65.2%

swebench · Aug 17, 2026

Arcee AI: Virtuoso Large—

Input price+$0.09/1M

Qwen2.5 Coder 32B Instruct$0.66/1M

openrouter · Aug 17, 2026

Arcee AI: Virtuoso Large$0.75/1M

openrouter · Aug 17, 2026

Output price+$0.2/1M

Qwen2.5 Coder 32B Instruct$1/1M

openrouter · Aug 17, 2026

Arcee AI: Virtuoso Large$1.2/1M

openrouter · Aug 17, 2026

Context window+98k

Qwen2.5 Coder 32B Instruct33k

openrouter · Aug 17, 2026

Arcee AI: Virtuoso Large131k

openrouter · Aug 17, 2026

Benchmark

Qwen2.5 Coder 32B Instruct

Arcee AI: Virtuoso Large

Advantage Delta

Preference Elo

1,425

lmarena · Aug 17, 2026

—

Coding Elo

1,495

lmarena · Aug 17, 2026

—

LiveBench

64.8%

livebench · Aug 17, 2026

—

SWE-bench

65.2%

swebench · Aug 17, 2026

—

Input price

$0.66/1M

openrouter · Aug 17, 2026

$0.75/1M

openrouter · Aug 17, 2026

+$0.09/1M

Output price

$1/1M

openrouter · Aug 17, 2026

$1.2/1M

openrouter · Aug 17, 2026

+$0.2/1M

Context window

33k

openrouter · Aug 17, 2026

131k

openrouter · Aug 17, 2026

+98k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen2.5 Coder 32B Instruct

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGArcee AI: Virtuoso Large

Larger window (131k).

Screenshots / visioninsufficient data

Neither side is marked as vision-capable.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen2.5 Coder 32B Instruct	Lower output list price ($1/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Arcee AI: Virtuoso Large	Larger window (131k).
Screenshots / vision	insufficient data	Neither side is marked as vision-capable.

Frequently Asked Questions

Which is better overall, Qwen2.5 Coder 32B Instruct or Arcee AI: Virtuoso Large?

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, Qwen2.5 Coder 32B Instruct or Arcee AI: Virtuoso Large?

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?

Qwen2.5 Coder 32B Instruct output tokens are $1/1M versus $1.2/1M. Input prices and retry rates still move the real bill.

Which is faster, Qwen2.5 Coder 32B Instruct or Arcee AI: Virtuoso Large?

We do not have TTFT for both models.

Which has the larger context window?

Arcee AI: Virtuoso Large accepts 131k tokens versus 33k.

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. Qwen2.5 Coder 32B Instruct and Arcee AI: Virtuoso Large Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.