Skip to main content

Model comparison

Qwen3 Max vs Trinity-Large-Thinking

Data verified

Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Alibaba
48.16/100
Margin
4.2pts
winning →
52.32/100
0 category wins0 category wins

Public leaderboard positions: Qwen3 Max #128 (Estimated); Trinity-Large-Thinking #100 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3 Max and Trinity-Large-Thinking share 13 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Qwen3 Max; 6 to Trinity-Large-Thinking.

Updated July 23, 2026
Shared results
13
Qwen3 Max only
1
Trinity-Large-Thinking only
6
Comparable categories
0 / 8

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

Confidence note. This is a partial-evidence comparison with 13 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 Max has the larger context window at 1M, compared with 512K for Trinity-Large-Thinking.

Category breakdown

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

Operational comparison

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

MetricQwen3 MaxTrinity-Large-ThinkingComparison
Input / output priceUSD per 1M tokensQwen3 MaxNot availableTrinity-Large-Thinking$0.25 input / $0.9 outputA complete price comparison is not available.
Generation speedtokens per secondQwen3 MaxNot availableTrinity-Large-ThinkingNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3 MaxNot availableTrinity-Large-ThinkingNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3 Max1MTrinity-Large-Thinking512KQwen3 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkQwen3 MaxTrinity-Large-ThinkingResult
τ²-bench resultsSource 74.3%90.1%Trinity-Large-Thinking leads
Gert LabsSource 43.74%32.55%Qwen3 Max leads
GDPval-AASource 2.7%Not comparable
GDPval-AASource 554Not comparable
Coding
BenchmarkQwen3 MaxTrinity-Large-ThinkingResult
Vibe Code BenchSource 3.51%Not comparable
AA-SciCodeSource 38.3%36.1%Qwen3 Max leads
SWE-bench Verified*Source 63.2%Not comparable
Reasoning
BenchmarkQwen3 MaxTrinity-Large-ThinkingResult
AA-LCRSource 46.7%33.0%Qwen3 Max leads
CritPtSource 0.0%0.9%Trinity-Large-Thinking leads
Knowledge
BenchmarkQwen3 MaxTrinity-Large-ThinkingResult
Artificial Analysis Intelligence IndexSource 24.0%24.5%Trinity-Large-Thinking leads
AA-GPQA DiamondSource 76.4%75.2%Qwen3 Max leads
AA-HLESource 11.1%14.7%Trinity-Large-Thinking leads
AA-Omniscience IndexSource -43.1%-44.2%Qwen3 Max leads
AA-Omniscience AccuracySource 24.4%22.8%Qwen3 Max leads
AA-Omniscience Hallucination RateSource 89.4%86.6%Trinity-Large-Thinking leads
GPQA-DSource 76.3%Not comparable
MMLU-Pro (Arcee)Source 83.4%Not comparable
Math
BenchmarkQwen3 MaxTrinity-Large-ThinkingResult
AIME25 (Arcee)Source 96.3%Not comparable
Multimodal
BenchmarkQwen3 MaxTrinity-Large-ThinkingResult
Design Arena WebsiteSource 11481165Trinity-Large-Thinking leads
Inst. Following
BenchmarkQwen3 MaxTrinity-Large-ThinkingResult
AA-IFBenchSource 44.1%56.3%Trinity-Large-Thinking leads
Frequently Asked Questions (3)

Can I compare Qwen3 Max 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 Qwen3 Max and Trinity-Large-Thinking today?

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.

Related Comparisons

Last updated: July 23, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.