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Model comparison

Grok 4.5 vs Step 3.7 Flash

Data verified

Head-to-head evidence from 18 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

76.97/100
Margin
26.2pts
← winning
50.76/100
2 category wins0 category wins

BenchAlign evidence: Grok 4.5 supported; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Grok 4.5 and Step 3.7 Flash share 18 comparable benchmark results. 2 of 8 categories are comparable. 9 results are unique to Grok 4.5; 12 to Step 3.7 Flash.

Updated July 15, 2026
Shared results
18
Grok 4.5 only
9
Step 3.7 Flash only
12
Comparable categories
2 / 8

Pick Grok 4.5 if you want the stronger benchmark profile. Step 3.7 Flash only becomes the better choice if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 5 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Grok 4.5 is clearly ahead on the provisional aggregate, 80 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Grok 4.5's sharpest advantage is in agentic, where it averages 83.3 against 66.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 83.3% to 59.5%.

Grok 4.5 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.20 input / $1.15 output per 1M tokens for Step 3.7 Flash. That is roughly 5.2x on output cost alone. Grok 4.5 gives you the larger context window at 500K, 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 Grok 4.5 and Step 3.7 Flash
CategoryGrok 4.5ΔStep 3.7 Flash
AgenticGrok 4.583.3Margin← 16.9Step 3.7 Flash66.4
CodingGrok 4.564.7Margin← 8.4Step 3.7 Flash56.3

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Grok 4.5B · Step 3.7 Flash

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 83.3%B 59.5%
    Winner: Grok 4.5Δ 23.8
    Terminal-Bench 2.0: Grok 4.5 scored 83.3%; Step 3.7 Flash scored 59.5%. Grok 4.5 wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 64.7%B 56.3%
    Winner: Grok 4.5Δ 8.4
    SWE-bench Pro: Grok 4.5 scored 64.7%; Step 3.7 Flash scored 56.3%. Grok 4.5 wins this benchmark.

Operational comparison

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

MetricGrok 4.5Step 3.7 FlashComparison
Input / output priceUSD per 1M tokensGrok 4.5$2 input / $6 outputStep 3.7 Flash$0.2 input / $1.15 outputStep 3.7 Flash has the lower combined listed price.
Generation speedtokens per secondGrok 4.5Not availableStep 3.7 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGrok 4.5Not availableStep 3.7 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGrok 4.5500KStep 3.7 Flash256KGrok 4.5 lists the larger context window.

Benchmark Deep Dive

AgenticGrok 4.5 wins
BenchmarkGrok 4.5Step 3.7 FlashResult
Terminal-Bench 2.0Source 83.3%59.5%Grok 4.5 leads
deepSweSource 53%—Not comparable
AA Agentic IndexSource 45.7%21.5%Grok 4.5 leads
GDPval-AASource 51.9%25.9%Grok 4.5 leads
GDPval-AASource 15391017Grok 4.5 leads
AA BriefcaseSource 1324—Not comparable
AA AutomationBenchSource 51.4%—Not comparable
AA EnterpriseOps-GymSource 40.8%—Not comparable
AA Harvey LABSource 13.3%—Not comparable
AA Tau3 BankingSource 32.6%—Not comparable
BrowseCompSource —75.8%Not comparable
DeepSearchQASource —92.8%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
τ²-bench resultsSource —98.5%Not comparable
APEX-Agents-AASource —14.8%Not comparable
CodingGrok 4.5 wins
BenchmarkGrok 4.5Step 3.7 FlashResult
SWE-bench ProSource 64.7%56.3%Grok 4.5 leads
SWE MultilingualSource 78%—Not comparable
Terminal-Bench 2.0Source 83.3%59.5%Grok 4.5 leads
cursorBench32Source 66.7%—Not comparable
AA Coding IndexSource 72.5%39.6%Grok 4.5 leads
AA-SciCodeSource 54.1%40.0%Grok 4.5 leads
AA Terminal-Bench 2.1Source 81.6%—Not comparable
Terminal-Bench HardSource —35.6%Not comparable
Reasoning
BenchmarkGrok 4.5Step 3.7 FlashResult
AA-LCRSource 67.7%63.7%Grok 4.5 leads
CritPtSource 15.4%2.3%Grok 4.5 leads
Knowledge
BenchmarkGrok 4.5Step 3.7 FlashResult
Artificial Analysis Intelligence IndexSource 53.8%30.3%Grok 4.5 leads
AA-GPQA DiamondSource 93.1%80.9%Grok 4.5 leads
AA-HLESource 40.3%19.9%Grok 4.5 leads
AA-Omniscience IndexSource 26.4%-37.5%Grok 4.5 leads
AA-Omniscience AccuracySource 52.1%25.4%Grok 4.5 leads
AA-Omniscience Hallucination RateSource 53.5%84.4%Grok 4.5 leads
Multimodal
BenchmarkGrok 4.5Step 3.7 FlashResult
AA-MMMU-ProSource 80.4%75.3%Grok 4.5 leads
Design Arena WebsiteSource 13291218Grok 4.5 leads
SimpleVQASource —79.2%Not comparable
V*Source —95.3%Not comparable
Inst. Following
BenchmarkGrok 4.5Step 3.7 FlashResult
AA-IFBenchSource —67.3%Not comparable
Frequently Asked Questions (3)

Which is better, Grok 4.5 or Step 3.7 Flash?

Grok 4.5 is ahead on BenchLM's provisional leaderboard, 80 to 57. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 83.3% and 59.5%.

Which is better for coding, Grok 4.5 or Step 3.7 Flash?

Grok 4.5 has the edge for coding in this comparison, averaging 64.7 versus 56.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Grok 4.5 or Step 3.7 Flash?

Grok 4.5 has the edge for agentic tasks in this comparison, averaging 83.3 versus 66.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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Last updated: July 15, 2026

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