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

Claude Sonnet 4 vs Arcee AI: Trinity Large Thinking benchmark

Name: Claude Sonnet 4 vs Arcee AI: Trinity Large Thinking AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Sonnet 4 (Anthropic) and Arcee AI: Trinity Large Thinking (arcee-ai) using the latest snapshots we have as of Aug 17, 2026. Arcee AI: Trinity Large Thinking wins on output price at $0.85/1M. Claude Sonnet 4 has the larger context window (1M 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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Anthropic

Claude Sonnet 4

First Sonnet 4 generation. Bridge between 3.5/3.7 and Sonnet 5.

Elo 1,455$15/1M out

arcee-ai

Arcee AI: Trinity Large Thinking

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

$0.85/1M 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.

Claude Sonnet 4 (8)vsArcee AI: Trinity Large Thinking (2)

Claude Sonnet 4: 8W (80%)Overall: Claude Sonnet 4Arcee AI: Trinity Large Thinking: 2W (20%)

← Claude Sonnet 4Arcee AI: Trinity Large Thinking →

Claude Sonnet 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,455vs—

Coding Elo

1,468vs—

SWE-bench

62.8%vs—

LiveBench

63.2%vs—

GPQA Diamond

76.4%vs—

Claude Sonnet 4: 5WArcee AI: Trinity Large Thinking: 0W

Claude Sonnet 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

92 tok/svs—

Time to first token

220 msvs—

Claude Sonnet 4: 2WArcee AI: Trinity Large Thinking: 0W

Arcee AI: Trinity Large Thinking (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.85/1M

Input price

$3/1Mvs$0.22/1M

Context window

1Mvs262k

Claude Sonnet 4: 1WArcee AI: Trinity Large Thinking: 2W

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 AdvantageClaude Sonnet 4 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Arcee AI: Trinity Large Thinking

$14.15/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,455

EloHigh is better

—

Code Elo

High is better

1,468

Code EloHigh is better

—

LiveBench

High is better

63.2%

LiveBenchHigh is better

—

SWE-bench

High is better

62.8%

SWE-benchHigh is better

—

GPQA

High is better

76.4%

GPQAHigh is better

—

TTFT

Low is better

220 ms

TTFTLow is better

—

Speed

High is better

92 tok/s

SpeedHigh is better

—

In $

Low is better

$3/1M

In $Low is better

$0.22/1M+1264%

Out $

Low is better

$15/1M

Out $Low is better

$0.85/1M+1665%

Context

High is better

+281%1M

ContextHigh is better

262k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 94% 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)

Claude Sonnet 4$330.00 / mo

In: $105.00Out: $225.00

Arcee AI: Trinity Large Thinking$20.45 / mo

In: $7.70Out: $12.75

Estimated Cost Delta

Arcee AI: Trinity Large Thinking is estimated to save $309.55/month ($3,715/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.
2
Claude Sonnet 4:Pick Claude Sonnet 4 for million-token RAG or long-document jobs.

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 RAGClaude Sonnet 4

Larger window (1M).

Screenshots / visionClaude Sonnet 4

Claude Sonnet 4 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	Arcee AI: Trinity Large Thinking	Lower output list price ($0.85/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Claude Sonnet 4	Larger window (1M).
Screenshots / vision	Claude Sonnet 4	Claude Sonnet 4 is the side marked multimodal in the catalog.

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CompareLLM Matrix

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LIVE

Anthropic

Claude Sonnet 4

Elo 1,455

LiveBench63.2%

SWE-bench62.8%

Speed92 tok/s

Output cost$15/1M

arcee-ai

Arcee AI: Trinity Large Thinking

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.85/1M

Frequently Asked Questions

Which is better overall, Claude Sonnet 4 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, Claude Sonnet 4 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 $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Sonnet 4 or Arcee AI: Trinity Large Thinking?: We do not have TTFT for both models.
Which has the larger context window?: Claude Sonnet 4 accepts 1M tokens versus 262k.
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. Claude Sonnet 4 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 Claude Sonnet 4 matchups →|All Arcee AI: Trinity Large Thinking matchups →

Claude Sonnet 4 vs Claude 3.7 Sonnet (previous sonnet)Claude Sonnet 4 vs Claude Sonnet 4.5 (next sonnet)Claude Sonnet 5 vs Claude Sonnet 4 Claude Opus 4.5 vs Claude Sonnet 4 Claude Opus 4.6 vs Claude Sonnet 4 Claude Opus 4.8 vs Claude Sonnet 4

Claude Sonnet 4 vs Arcee AI: Trinity Large Thinking benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Sonnet 4 (8)vsArcee AI: Trinity Large Thinking (2)

Claude Sonnet 4: 8W (80%)Overall: Claude Sonnet 4Arcee AI: Trinity Large Thinking: 2W (20%)

← Claude Sonnet 4Arcee AI: Trinity Large Thinking →

Claude Sonnet 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,455vs—

Coding Elo

1,468vs—

SWE-bench

62.8%vs—

LiveBench

63.2%vs—

GPQA Diamond

76.4%vs—

Claude Sonnet 4: 5WArcee AI: Trinity Large Thinking: 0W

Claude Sonnet 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

92 tok/svs—

Time to first token

220 msvs—

Claude Sonnet 4: 2WArcee AI: Trinity Large Thinking: 0W

Arcee AI: Trinity Large Thinking (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.85/1M

Input price

$3/1Mvs$0.22/1M

Context window

1Mvs262k

Claude Sonnet 4: 1WArcee AI: Trinity Large Thinking: 2W

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 RAGClaude Sonnet 4

Larger window (1M).

Screenshots / visionClaude Sonnet 4

Claude Sonnet 4 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	Arcee AI: Trinity Large Thinking	Lower output list price ($0.85/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Claude Sonnet 4	Larger window (1M).
Screenshots / vision	Claude Sonnet 4	Claude Sonnet 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Sonnet 4 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, Claude Sonnet 4 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 $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Sonnet 4 or Arcee AI: Trinity Large Thinking?

We do not have TTFT for both models.

Which has the larger context window?

Claude Sonnet 4 accepts 1M tokens versus 262k.

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. Claude Sonnet 4 and Arcee AI: Trinity Large Thinking Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.