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

FLUX.1.1 [pro] vs Arcee AI: Trinity Large Thinking benchmark

Name: FLUX.1.1 [pro] vs Arcee AI: Trinity Large Thinking AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between FLUX.1.1 [pro] and Arcee AI: Trinity Large Thinking. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

FLUX.1.1 [pro] holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

FLUX.1.1 [pro]Top code solve rate

ReasoningGPQA / Live

FLUX.1.1 [pro]Top logical accuracy

Best Value$/1M Tok

Arcee AI: Trinity Large ThinkingLowest API billing cost

Speed / TokTok/Sec

FLUX.1.1 [pro]Fastest stream rate

Black Forest Labs

FLUX.1.1 [pro]

First-generation professional API model from Black Forest Labs, renowned for 6x faster generation than original FLUX.1 Pro.

Img Elo 1,210$50/1k imgs

arcee-ai

Arcee AI: Trinity Large Thinking

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

Top Rival Showdowns for FLUX.1.1 [pro]

All Matchups

Compare vs:vs GPT Image 2 (High)vs Reve 2.1 vs Nano Banana Pro (Gemini 3 Pro Image)vs Ideogram 4.0 (Quality)vs Recraft V4.1 Utility Pro

Image Quality Leader

No shared data

Single model data

Generation Speed Leader

No shared data

No latency data

Value per Dollar Leader

No shared data

Unpriced

Overall Matchup Breakdown

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

FLUX.1.1 [pro] (5)vsArcee AI: Trinity Large Thinking (0)

FLUX.1.1 [pro]: 5W (100%)Arcee AI: Trinity Large Thinking: 0W (0%)

← FLUX.1.1 [pro]Arcee AI: Trinity Large Thinking →

🏆FLUX.1.1 [pro] Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

FLUX.1.1 [pro]vsArcee AI: Trinity Large Thinking

Image Elo

1,210vs—

Prompt adherence

89%vs—

Text rendering

89.5%vs—

FLUX.1.1 [pro]: 3WArcee AI: Trinity Large Thinking: 0W

🏆FLUX.1.1 [pro] Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

FLUX.1.1 [pro]vsArcee AI: Trinity Large Thinking

Generation time

3.2svs—

FLUX.1.1 [pro]: 1WArcee AI: Trinity Large Thinking: 0W

🏆FLUX.1.1 [pro] Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

FLUX.1.1 [pro]vsArcee AI: Trinity Large Thinking

Price per 1k images

$50/1kvs—

FLUX.1.1 [pro]: 1WArcee AI: Trinity Large Thinking: 0W

Side-by-Side Benchmark Matrix

FLUX.1.1 [pro]Arcee AI: Trinity Large Thinking

Image Elo

FLUX.1.1 [pro]1,210

Arcee AI: Trinity Large Thinking—

Generation time

FLUX.1.1 [pro]3.2s

Arcee AI: Trinity Large Thinking—

Price per 1k images

FLUX.1.1 [pro]$50/1k

Arcee AI: Trinity Large Thinking—

Prompt adherence

FLUX.1.1 [pro]89%

Arcee AI: Trinity Large Thinking—

Text rendering

FLUX.1.1 [pro]89.5%

Arcee AI: Trinity Large Thinking—

Benchmark	FLUX.1.1 [pro]	Arcee AI: Trinity Large Thinking	Advantage Delta
Image Elo	1,210 seed-bootstrap · Aug 1, 2026	—	—
Generation time	3.2s seed-bootstrap · Aug 1, 2026	—	—
Price per 1k images	$50/1k seed-bootstrap · Aug 1, 2026	—	—
Prompt adherence	89% seed-bootstrap · Aug 1, 2026	—	—
Text rendering	89.5% seed-bootstrap · Aug 1, 2026	—	—

Workload Cost & Savings Calculator

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

Save 100% with Arcee AI: Trinity Large Thinking

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

FLUX.1.1 [pro]$1,250.00 / mo

Rate: $50/1k

Arcee AI: Trinity Large Thinking$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

Arcee AI: Trinity Large Thinking is estimated to save $1,250.00/month ($15,000/year).

Based on 25k images generated

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionFLUX.1.1 [pro]

FLUX.1.1 [pro] 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	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	FLUX.1.1 [pro]	FLUX.1.1 [pro] is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Black Forest Labs

FLUX.1.1 [pro]

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$50/1k

Output / 1M Tokens$50/1k

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, FLUX.1.1 [pro] 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, FLUX.1.1 [pro] 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?: List prices are missing for at least one model.
Which is faster, FLUX.1.1 [pro] or Arcee AI: Trinity Large Thinking?: We do not have TTFT for both models.
Which has the larger context window?: Context window is missing for at least one model.
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. FLUX.1.1 [pro] 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 FLUX.1.1 [pro] matchups →|All Arcee AI: Trinity Large Thinking matchups →

FLUX.1.1 [pro] vs FLUX.1 [schnell] (previous flux)FLUX.1.1 [pro] vs FLUX.2 [flex] (next flux)

Side-by-Side Benchmark Matrix

FLUX.1.1 [pro]Arcee AI: Trinity Large Thinking

Image Elo

FLUX.1.1 [pro]1,210

Arcee AI: Trinity Large Thinking—

Generation time

FLUX.1.1 [pro]3.2s

Arcee AI: Trinity Large Thinking—

Price per 1k images

FLUX.1.1 [pro]$50/1k

Arcee AI: Trinity Large Thinking—

Prompt adherence

FLUX.1.1 [pro]89%

Arcee AI: Trinity Large Thinking—

Text rendering

FLUX.1.1 [pro]89.5%

Arcee AI: Trinity Large Thinking—

Benchmark	FLUX.1.1 [pro]	Arcee AI: Trinity Large Thinking	Advantage Delta
Image Elo	1,210 seed-bootstrap · Aug 1, 2026	—	—
Generation time	3.2s seed-bootstrap · Aug 1, 2026	—	—
Price per 1k images	$50/1k seed-bootstrap · Aug 1, 2026	—	—
Prompt adherence	89% seed-bootstrap · Aug 1, 2026	—	—
Text rendering	89.5% seed-bootstrap · Aug 1, 2026	—	—

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionFLUX.1.1 [pro]

FLUX.1.1 [pro] 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	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	FLUX.1.1 [pro]	FLUX.1.1 [pro] is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, FLUX.1.1 [pro] 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, FLUX.1.1 [pro] 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?

List prices are missing for at least one model.

Which is faster, FLUX.1.1 [pro] or Arcee AI: Trinity Large Thinking?

We do not have TTFT for both models.

Which has the larger context window?

Context window is missing for at least one model.

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. FLUX.1.1 [pro] and Arcee AI: Trinity Large Thinking Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.