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Model comparison

Step 3.7 Flash vs Trinity-Large-Thinking

Data verified

Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

50.76/100
Margin
1.5pts
winning →
52.22/100
0 category wins0 category wins

BenchAlign evidence: Step 3.7 Flash estimated; Trinity-Large-Thinking supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Step 3.7 Flash and Trinity-Large-Thinking share 16 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to Step 3.7 Flash; 4 to Trinity-Large-Thinking.

Updated July 16, 2026
Shared results
16
Step 3.7 Flash only
14
Trinity-Large-Thinking only
4
Comparable categories
0 / 8

Benchmark data for Step 3.7 Flash and Trinity-Large-Thinking is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 16 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.

Step 3.7 Flash is priced at $0.20 input / $1.15 output per 1M tokens, versus $0.25 input / $0.90 output per 1M tokens for Trinity-Large-Thinking. Trinity-Large-Thinking has the larger context window at 512K, compared with 256K for Step 3.7 Flash.

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 Step 3.7 Flash and Trinity-Large-Thinking
CategoryStep 3.7 FlashΔTrinity-Large-Thinking
AgenticStep 3.7 Flash66.4MarginNo overlapTrinity-Large-ThinkingNot measured
CodingStep 3.7 Flash56.3MarginNo overlapTrinity-Large-ThinkingNot measured

Operational comparison

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

MetricStep 3.7 FlashTrinity-Large-ThinkingComparison
Input / output priceUSD per 1M tokensStep 3.7 Flash$0.2 input / $1.15 outputTrinity-Large-Thinking$0.25 input / $0.9 outputTrinity-Large-Thinking has the lower combined listed price.
Generation speedtokens per secondStep 3.7 FlashNot availableTrinity-Large-ThinkingNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenStep 3.7 FlashNot availableTrinity-Large-ThinkingNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensStep 3.7 Flash256KTrinity-Large-Thinking512KTrinity-Large-Thinking lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkStep 3.7 FlashTrinity-Large-ThinkingResult
Terminal-Bench 2.0Source 59.5%Not comparable
BrowseCompSource 75.8%Not comparable
DeepSearchQASource 92.8%Not comparable
GDPval-AASource 25.9%2.7%Step 3.7 Flash leads
ToolathlonSource 49.5%Not comparable
Claw-EvalSource 67.1%Not comparable
HLE w/ toolsSource 47.2%Not comparable
Gert LabsSource 51.57%32.55%Step 3.7 Flash leads
AA Agentic IndexSource 21.5%Not comparable
τ²-bench resultsSource 98.5%90.1%Step 3.7 Flash leads
GDPval-AASource 1017554Step 3.7 Flash leads
APEX-Agents-AASource 14.8%Not comparable
Coding
BenchmarkStep 3.7 FlashTrinity-Large-ThinkingResult
SWE-bench ProSource 56.3%Not comparable
Terminal-Bench 2.0Source 59.5%Not comparable
AA Coding IndexSource 39.6%Not comparable
Terminal-Bench HardSource 35.6%22.7%Step 3.7 Flash leads
AA-SciCodeSource 40.0%36.1%Step 3.7 Flash leads
SWE-bench Verified*Source 63.2%Not comparable
Reasoning
BenchmarkStep 3.7 FlashTrinity-Large-ThinkingResult
AA-LCRSource 63.7%33.0%Step 3.7 Flash leads
CritPtSource 2.3%0.9%Step 3.7 Flash leads
Knowledge
BenchmarkStep 3.7 FlashTrinity-Large-ThinkingResult
Artificial Analysis Intelligence IndexSource 30.3%24.5%Step 3.7 Flash leads
AA-GPQA DiamondSource 80.9%75.2%Step 3.7 Flash leads
AA-HLESource 19.9%14.7%Step 3.7 Flash leads
AA-Omniscience IndexSource -37.5%-44.2%Step 3.7 Flash leads
AA-Omniscience AccuracySource 25.4%22.8%Step 3.7 Flash leads
AA-Omniscience Hallucination RateSource 84.4%86.6%Step 3.7 Flash leads
GPQA-DSource 76.3%Not comparable
MMLU-Pro (Arcee)Source 83.4%Not comparable
Math
BenchmarkStep 3.7 FlashTrinity-Large-ThinkingResult
AIME25 (Arcee)Source 96.3%Not comparable
Multimodal
BenchmarkStep 3.7 FlashTrinity-Large-ThinkingResult
SimpleVQASource 79.2%Not comparable
V*Source 95.3%Not comparable
AA-MMMU-ProSource 75.3%Not comparable
Design Arena WebsiteSource 12181169Step 3.7 Flash leads
Inst. Following
BenchmarkStep 3.7 FlashTrinity-Large-ThinkingResult
AA-IFBenchSource 67.3%56.3%Step 3.7 Flash leads
Frequently Asked Questions (3)

Can I compare Step 3.7 Flash 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 Step 3.7 Flash and Trinity-Large-Thinking today?

Step 3.7 Flash: $0.20 input / $1.15 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 16, 2026

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