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Model comparison

Qwen3.7 Max vs Trinity-Large-Preview

Data verified

Head-to-head evidence from 15 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

72.84/100
Margin
16.9pts
← winning
55.94/100
0 category wins0 category wins

Public leaderboard positions: Qwen3.7 Max #10 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.7 Max and Trinity-Large-Preview share 15 comparable benchmark results. 0 of 8 categories are comparable. 43 results are unique to Qwen3.7 Max; 3 to Trinity-Large-Preview.

Updated July 23, 2026
Shared results
15
Qwen3.7 Max only
43
Trinity-Large-Preview only
3
Comparable categories
0 / 8

Benchmark data for Qwen3.7 Max and Trinity-Large-Preview is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 6 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Qwen3.7 Max has the larger context window at 1M, compared with 512K for Trinity-Large-Preview.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Qwen3.7 Max and Trinity-Large-Preview
CategoryQwen3.7 MaxΔTrinity-Large-Preview
AgenticQwen3.7 Max69.7MarginNo overlapTrinity-Large-PreviewNot measured
CodingQwen3.7 Max77.9MarginNo overlapTrinity-Large-PreviewNot measured
ReasoningQwen3.7 Max90.4MarginNo overlapTrinity-Large-PreviewNot measured
KnowledgeQwen3.7 Max64.2MarginNo overlapTrinity-Large-PreviewNot measured
MathQwen3.7 Max97.1MarginNo overlapTrinity-Large-PreviewNot measured
MultilingualQwen3.7 Max87.0MarginNo overlapTrinity-Large-PreviewNot measured
Inst. FollowingQwen3.7 Max84.4MarginNo overlapTrinity-Large-PreviewNot measured

Operational comparison

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

MetricQwen3.7 MaxTrinity-Large-PreviewComparison
Input / output priceUSD per 1M tokensQwen3.7 MaxNot availableTrinity-Large-Preview$0.25 input / $1 outputA complete price comparison is not available.
Generation speedtokens per secondQwen3.7 MaxNot availableTrinity-Large-PreviewNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.7 MaxNot availableTrinity-Large-PreviewNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.7 Max1MTrinity-Large-Preview512KQwen3.7 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkQwen3.7 MaxTrinity-Large-PreviewResult
Terminal-Bench 2.0Source 69.7%—Not comparable
QwenClawBenchSource 64.3%—Not comparable
QwenWebBenchSource 1568—Not comparable
Claw-EvalSource 65.2%—Not comparable
BFCL v4Source 75.0%—Not comparable
MCP AtlasSource 76.4%—Not comparable
VITA-BenchSource 47.9%—Not comparable
HLE w/ toolsSource 53.5%—Not comparable
AA Agentic IndexSource 30.6%—Not comparable
τ²-bench resultsSource 94.7%90.1%Qwen3.7 Max leads
GDPval-AASource 38.7%2.7%Qwen3.7 Max leads
GDPval-AASource 1273554Qwen3.7 Max leads
Gert LabsSource 64.27%—Not comparable
ResearchClawBenchSource 18.7%—Not comparable
AA BriefcaseSource 908—Not comparable
AA AutomationBenchSource 25.6%—Not comparable
AA EnterpriseOps-GymSource 45.0%—Not comparable
AA ITBenchSource 42.5%—Not comparable
terminalBenchHardSource 50.8%—Not comparable
aaTerminalBench21Source 74.5%—Not comparable
AA Harvey LABSource 83.4%—Not comparable
Coding
BenchmarkQwen3.7 MaxTrinity-Large-PreviewResult
SWE-bench VerifiedSource 80.4%—Not comparable
SWE-bench ProSource 60.6%—Not comparable
SWE MultilingualSource 78.3%—Not comparable
NL2RepoSource 47.2%—Not comparable
SciCodeSource 53.5%—Not comparable
LiveCodeBenchSource 91.6%—Not comparable
Terminal-Bench 2.0Source 69.7%—Not comparable
AA Coding IndexSource 66.0%—Not comparable
AA-SciCodeSource 48.8%36.1%Qwen3.7 Max leads
Reasoning
BenchmarkQwen3.7 MaxTrinity-Large-PreviewResult
MRCRv2Source 90.4%—Not comparable
CritPtSource 13.4%0.9%Qwen3.7 Max leads
AA-LCRSource 69.0%33.0%Qwen3.7 Max leads
Knowledge
BenchmarkQwen3.7 MaxTrinity-Large-PreviewResult
GPQASource 92.4%—Not comparable
GPQA-DSource 92.4%63.3%Qwen3.7 Max leads
HLESource 41.4%—Not comparable
MMLU-ProSource 89.6%—Not comparable
MMLU-ReduxSource 95%—Not comparable
SuperGPQASource 73.6%—Not comparable
MMMLUSource 90.3%—Not comparable
Artificial Analysis Intelligence IndexSource 46.0%24.5%Qwen3.7 Max leads
AA-GPQA DiamondSource 92.3%75.2%Qwen3.7 Max leads
AA-HLESource 38.1%14.7%Qwen3.7 Max leads
AA-Omniscience IndexSource 14.1%-44.2%Qwen3.7 Max leads
AA-Omniscience AccuracySource 30.1%22.8%Qwen3.7 Max leads
AA-Omniscience Hallucination RateSource 22.9%86.6%Qwen3.7 Max leads
MMLUSource —87.2%Not comparable
MMLU-Pro (Arcee)Source —75.2%Not comparable
Math
BenchmarkQwen3.7 MaxTrinity-Large-PreviewResult
HMMT Feb 2026Source 97.1%—Not comparable
IMOAnswerBenchSource 90.0%—Not comparable
ApexSource 44.5%—Not comparable
AIME25 (Arcee)Source —24.0%Not comparable
Multilingual
BenchmarkQwen3.7 MaxTrinity-Large-PreviewResult
MMLU-ProXSource 87%—Not comparable
NOVA-63Source 59.0%—Not comparable
INCLUDESource 86.2%—Not comparable
MAXIFESource 89.2%—Not comparable
PolyMathSource 86.5%—Not comparable
Multimodal
BenchmarkQwen3.7 MaxTrinity-Large-PreviewResult
Design Arena WebsiteSource 12931165Qwen3.7 Max leads
Inst. Following
BenchmarkQwen3.7 MaxTrinity-Large-PreviewResult
IFEvalSource 94.3%—Not comparable
IFBenchSource 79.1%—Not comparable
AA-IFBenchSource 80.5%56.3%Qwen3.7 Max leads
Frequently Asked Questions (3)

Can I compare Qwen3.7 Max and Trinity-Large-Preview 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 Qwen3.7 Max and Trinity-Large-Preview today?

Qwen3.7 Max: Pricing unavailable Trinity-Large-Preview: $0.25 input / $1.00 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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