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Model comparison

Holo3.1-35B-A3B-GGUF vs Trinity-Large-Thinking

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
No comparison
52.32/100
0 category wins0 category wins

Public leaderboard positions: Holo3.1-35B-A3B-GGUF unranked (Not scored); Trinity-Large-Thinking #100 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Holo3.1-35B-A3B-GGUF and Trinity-Large-Thinking share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Holo3.1-35B-A3B-GGUF; 19 to Trinity-Large-Thinking.

Updated July 21, 2026
Shared results
0
Holo3.1-35B-A3B-GGUF only
0
Trinity-Large-Thinking only
19
Comparable categories
0 / 8

Benchmark data for Holo3.1-35B-A3B-GGUF and Trinity-Large-Thinking is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for Holo3.1-35B-A3B-GGUF yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Trinity-Large-Thinking is priced at $0.25 input / $0.90 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Holo3.1-35B-A3B-GGUF. Trinity-Large-Thinking has the larger context window at 512K, compared with 262K for Holo3.1-35B-A3B-GGUF.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricHolo3.1-35B-A3B-GGUFTrinity-Large-ThinkingComparison
Input / output priceUSD per 1M tokensHolo3.1-35B-A3B-GGUF$0 input / $0 outputTrinity-Large-Thinking$0.25 input / $0.9 outputHolo3.1-35B-A3B-GGUF has the lower combined listed price.
Generation speedtokens per secondHolo3.1-35B-A3B-GGUFNot availableTrinity-Large-ThinkingNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenHolo3.1-35B-A3B-GGUFNot availableTrinity-Large-ThinkingNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensHolo3.1-35B-A3B-GGUF262KTrinity-Large-Thinking512KTrinity-Large-Thinking lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkHolo3.1-35B-A3B-GGUFTrinity-Large-ThinkingResult
τ²-bench resultsSource 90.1%Not comparable
Gert LabsSource 32.55%Not comparable
GDPval-AASource 2.7%Not comparable
GDPval-AASource 554Not comparable
Coding
BenchmarkHolo3.1-35B-A3B-GGUFTrinity-Large-ThinkingResult
SWE-bench Verified*Source 63.2%Not comparable
AA-SciCodeSource 36.1%Not comparable
Reasoning
BenchmarkHolo3.1-35B-A3B-GGUFTrinity-Large-ThinkingResult
AA-LCRSource 33.0%Not comparable
CritPtSource 0.9%Not comparable
Knowledge
BenchmarkHolo3.1-35B-A3B-GGUFTrinity-Large-ThinkingResult
GPQA-DSource 76.3%Not comparable
MMLU-Pro (Arcee)Source 83.4%Not comparable
Artificial Analysis Intelligence IndexSource 24.5%Not comparable
AA-GPQA DiamondSource 75.2%Not comparable
AA-HLESource 14.7%Not comparable
AA-Omniscience IndexSource -44.2%Not comparable
AA-Omniscience AccuracySource 22.8%Not comparable
AA-Omniscience Hallucination RateSource 86.6%Not comparable
Math
BenchmarkHolo3.1-35B-A3B-GGUFTrinity-Large-ThinkingResult
AIME25 (Arcee)Source 96.3%Not comparable
Multimodal
BenchmarkHolo3.1-35B-A3B-GGUFTrinity-Large-ThinkingResult
Design Arena WebsiteSource 1165Not comparable
Inst. Following
BenchmarkHolo3.1-35B-A3B-GGUFTrinity-Large-ThinkingResult
AA-IFBenchSource 56.3%Not comparable
Frequently Asked Questions (3)

Can I compare Holo3.1-35B-A3B-GGUF and Trinity-Large-Thinking on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Holo3.1-35B-A3B-GGUF and Trinity-Large-Thinking today?

Holo3.1-35B-A3B-GGUF: $0.00 input / $0.00 output per 1M tokens Trinity-Large-Thinking: $0.25 input / $0.90 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 21, 2026

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