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Model comparison

Step 3.7 Flash vs Varco

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.
50.87/100
No comparison
Varco
NC AI
N/A
0 category wins0 category wins

Public leaderboard positions: Step 3.7 Flash #110 (Estimated); Varco unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Step 3.7 Flash and Varco share 0 comparable benchmark results. 0 of 8 categories are comparable. 29 results are unique to Step 3.7 Flash; 0 to Varco.

Updated July 21, 2026
Shared results
0
Step 3.7 Flash only
29
Varco only
0
Comparable categories
0 / 8

Benchmark data for Step 3.7 Flash and Varco 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 Varco yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Step 3.7 Flash has the larger context window at 256K, compared with 64K for Varco.

Operational comparison

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

MetricStep 3.7 FlashVarcoComparison
Input / output priceUSD per 1M tokensStep 3.7 Flash$0.2 input / $1.15 outputVarcoNot availableA complete price comparison is not available.
Generation speedtokens per secondStep 3.7 FlashNot availableVarcoNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenStep 3.7 FlashNot availableVarcoNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensStep 3.7 Flash256KVarco64KStep 3.7 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkStep 3.7 FlashVarcoResult
Terminal-Bench 2.0Source 59.5%—Not comparable
BrowseCompSource 75.8%—Not comparable
DeepSearchQASource 92.8%—Not comparable
GDPval-AASource 25.9%—Not comparable
ToolathlonSource 49.5%—Not comparable
Claw-EvalSource 67.1%—Not comparable
HLE w/ toolsSource 47.2%—Not comparable
Gert LabsSource 51.57%—Not comparable
AA Agentic IndexSource 21.5%—Not comparable
τ²-bench resultsSource 98.5%—Not comparable
GDPval-AASource 1017—Not comparable
APEX-Agents-AASource 14.8%—Not comparable
Coding
BenchmarkStep 3.7 FlashVarcoResult
SWE-bench ProSource 56.3%—Not comparable
Terminal-Bench 2.0Source 59.5%—Not comparable
AA Coding IndexSource 39.6%—Not comparable
AA-SciCodeSource 40.0%—Not comparable
Reasoning
BenchmarkStep 3.7 FlashVarcoResult
AA-LCRSource 63.7%—Not comparable
CritPtSource 2.3%—Not comparable
Knowledge
BenchmarkStep 3.7 FlashVarcoResult
Artificial Analysis Intelligence IndexSource 30.3%—Not comparable
AA-GPQA DiamondSource 80.9%—Not comparable
AA-HLESource 19.9%—Not comparable
AA-Omniscience IndexSource -37.5%—Not comparable
AA-Omniscience AccuracySource 25.4%—Not comparable
AA-Omniscience Hallucination RateSource 84.4%—Not comparable
Multimodal
BenchmarkStep 3.7 FlashVarcoResult
SimpleVQASource 79.2%—Not comparable
V*Source 95.3%—Not comparable
AA-MMMU-ProSource 75.3%—Not comparable
Design Arena WebsiteSource 1211—Not comparable
Inst. Following
BenchmarkStep 3.7 FlashVarcoResult
AA-IFBenchSource 67.3%—Not comparable
Frequently Asked Questions (3)

Can I compare Step 3.7 Flash and Varco 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 Varco today?

Step 3.7 Flash: $0.20 input / $1.15 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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