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Every score has a dated snapshot.

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  3. Qwen 2.5 Plus vs Arcee AI: Trinity Large Thinking
Independent ReportPairwise benchmark snapshot · Aug 17, 2026
noindex (thin pair)
Qwen 2.5 Plus(Alibaba)
vs
Arcee AI: Trinity Large Thinking(arcee-ai)

Qwen 2.5 Plus vs Arcee AI: Trinity Large Thinking benchmark

In this head-to-head showdown, Arcee AI: Trinity Large Thinking is more budget-friendly at $0.85/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Qwen 2.5 Plus if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Arcee AI: Trinity Large Thinking if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Arcee AI: Trinity Large Thinking holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
Qwen 2.5 PlusTop code solve rate
ReasoningGPQA / Live
Qwen 2.5 PlusTop logical accuracy
Best Value$/1M Tok
Arcee AI: Trinity Large ThinkingLowest API billing cost
Speed / TokTok/Sec
Qwen 2.5 PlusFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Qwen 2.5 Plus (0)Arcee AI: Trinity Large Thinking (3)
Qwen 2.5 Plus
0 of 3 Wins
Competitive baseline across remaining benchmarks
Arcee AI: Trinity Large Thinking
3 of 3 Wins
✓Input price✓Output price✓Context window
Alibaba
Qwen 2.5 Plus

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

Elo 1,445In: $0.25 · Out: $1/1M
arcee-ai
Leads 3 of 3
Arcee AI: Trinity Large Thinking

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

In: $0.22 · Out: $0.85/1M
Top Rival Showdowns for Qwen 2.5 Plus
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderArcee AI: Trinity Large Thinking Wins

Arcee AI: Trinity Large Thinking

$0.85 / 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 standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

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

Qwen 2.5 Plus (7)vsArcee AI: Trinity Large Thinking (3)
Qwen 2.5 Plus: 7W (70%)Overall: Qwen 2.5 PlusArcee AI: Trinity Large Thinking: 3W (30%)
← Qwen 2.5 PlusArcee AI: Trinity Large Thinking →
🏆Qwen 2.5 Plus Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Qwen 2.5 PlusvsArcee AI: Trinity Large Thinking
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: 5WArcee AI: Trinity Large Thinking: 0W
🏆Qwen 2.5 Plus Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Qwen 2.5 PlusvsArcee AI: Trinity Large Thinking
Output speed
110 tok/svs—
Time to first token
180 msvs—
Qwen 2.5 Plus: 2WArcee AI: Trinity Large Thinking: 0W
🏆Arcee AI: Trinity Large Thinking Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Qwen 2.5 PlusvsArcee AI: Trinity Large Thinking
Output price
$1/1Mvs$0.85/1M+$0.15/1M
Input price
$0.25/1Mvs$0.22/1M+$0.03/1M
Context window
128kvs262k+134k
Qwen 2.5 Plus: 0WArcee AI: Trinity Large Thinking: 3W

Side-by-Side Benchmark Matrix

Qwen 2.5 PlusArcee AI: Trinity Large Thinking
Preference Elo
Qwen 2.5 Plus1,445
Arcee AI: Trinity Large Thinking—
Coding Elo
Qwen 2.5 Plus1,460
Arcee AI: Trinity Large Thinking—
LiveBench
Qwen 2.5 Plus63.5%
Arcee AI: Trinity Large Thinking—
SWE-bench
Qwen 2.5 Plus59.2%
Arcee AI: Trinity Large Thinking—
GPQA Diamond
Qwen 2.5 Plus75.8%
Arcee AI: Trinity Large Thinking—
Time to first token
Qwen 2.5 Plus180 ms
Arcee AI: Trinity Large Thinking—
Output speed
Qwen 2.5 Plus110 tok/s
Arcee AI: Trinity Large Thinking—
Input priceArcee AI: Trinity Large Thinking +$0.03/1M
Qwen 2.5 Plus$0.25/1M
Arcee AI: Trinity Large Thinking$0.22/1M
Output priceArcee AI: Trinity Large Thinking +$0.15/1M
Qwen 2.5 Plus$1/1M
Arcee AI: Trinity Large Thinking$0.85/1M
Context windowArcee AI: Trinity Large Thinking +134k
Qwen 2.5 Plus128k
Arcee AI: Trinity Large Thinking262k
BenchmarkQwen 2.5 PlusArcee AI: Trinity Large ThinkingAdvantage Delta
Preference Elo
1,445
lmarena · Aug 17, 2026
——
Coding Elo
1,460
lmarena · Aug 17, 2026
——
LiveBench
63.5%
livebench · Aug 17, 2026
——
SWE-bench
59.2%
swebench · Aug 17, 2026
——
GPQA Diamond
75.8%
seed-bootstrap · Aug 1, 2026
——
Time to first token
180 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
110 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.25/1M
seed-bootstrap · Aug 1, 2026
$0.22/1M
openrouter · Aug 17, 2026
+$0.03/1M
Output price
$1/1M
seed-bootstrap · Aug 1, 2026
$0.85/1M
openrouter · Aug 17, 2026
+$0.15/1M
Context window
128k
seed-bootstrap · Aug 1, 2026
262k
openrouter · Aug 17, 2026
+134k

Workload Cost & Savings Calculator

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

Save 14% with Arcee AI: Trinity Large Thinking
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
Arcee AI: Trinity Large Thinking$20.45 / mo
In: $7.7Out: $12.75
Estimated Cost Delta

Arcee AI: Trinity Large Thinking is estimated to save $3.30/month ($40/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Arcee AI: Trinity Large Thinking:Pick Arcee AI: Trinity Large Thinking when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatArcee AI: Trinity Large Thinking

Lower output list price ($0.85/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGArcee AI: Trinity Large Thinking

Larger window (262k).

Screenshots / visionQwen 2.5 Plus

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatArcee AI: Trinity Large ThinkingLower output list price ($0.85/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGArcee AI: Trinity Large ThinkingLarger window (262k).
Screenshots / visionQwen 2.5 PlusQwen 2.5 Plus is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Alibaba

Qwen 2.5 Plus

Elo 1,445
SWE-bench59.2%
Speed (tok/s)110 tok/s
Input / 1M Tokens$0.25/1M
Output / 1M Tokens$1/1M
arcee-ai

Arcee AI: Trinity Large Thinking

Elo n/a
SWE-bench—
Speed (tok/s)262k
Input / 1M Tokens$0.22/1M
Output / 1M Tokens$0.85/1M

Frequently Asked Questions

Which is better overall, Qwen 2.5 Plus or Arcee AI: Trinity Large Thinking?
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 Arcee AI: Trinity Large Thinking?
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?
Arcee AI: Trinity Large Thinking output tokens are $0.85/1M versus $1/1M. Input prices and retry rates still move the real bill.
Which is faster, Qwen 2.5 Plus or Arcee AI: Trinity Large Thinking?
We do not have TTFT for both models.
Which has the larger context window?
Arcee AI: Trinity Large Thinking 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 Arcee AI: Trinity Large Thinking 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 Arcee AI: Trinity Large Thinking matchups →
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