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Model comparison

Claude Opus 4.6 vs Step 3.7 Flash

Data verified

Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

68.52/100
Margin
17.8pts
← winning
50.76/100
2 category wins0 category wins

Verified leaderboard positions: Claude Opus 4.6 #8; Step 3.7 Flash unranked

BenchAlign evidence: Claude Opus 4.6 supported; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 and Step 3.7 Flash share 20 comparable benchmark results. 2 of 8 categories are comparable. 28 results are unique to Claude Opus 4.6; 10 to Step 3.7 Flash.

Updated July 16, 2026
Shared results
20
Claude Opus 4.6 only
28
Step 3.7 Flash only
10
Comparable categories
2 / 8

Pick Claude Opus 4.6 if you want the stronger benchmark profile. Step 3.7 Flash only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 6 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

Claude Opus 4.6 is clearly ahead on the provisional aggregate, 84 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 4.6's sharpest advantage is in coding, where it averages 68.1 against 56.3. The single biggest benchmark swing on the page is BrowseComp, 83.7% to 75.8%.

Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.20 input / $1.15 output per 1M tokens for Step 3.7 Flash. That is roughly 21.7x on output cost alone. Step 3.7 Flash is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Opus 4.6 gives you the larger context window at 1M, 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 Claude Opus 4.6 and Step 3.7 Flash
CategoryClaude Opus 4.6ΔStep 3.7 Flash
CodingClaude Opus 4.668.1Margin 11.8Step 3.7 Flash56.3
AgenticClaude Opus 4.673.0Margin 6.6Step 3.7 Flash66.4
KnowledgeClaude Opus 4.669.2MarginNo overlapStep 3.7 FlashNot measured
MathClaude Opus 4.636.3MarginNo overlapStep 3.7 FlashNot measured
MultimodalClaude Opus 4.677.3MarginNo overlapStep 3.7 FlashNot measured

Decisive benchmark drivers

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

More
A · Claude Opus 4.6B · Step 3.7 Flash
  1. BrowseComp

    Agentic
    Source ↗
    A 83.7%B 75.8%
    Winner: Claude Opus 4.6Δ 7.9
    BrowseComp: Claude Opus 4.6 scored 83.7%; Step 3.7 Flash scored 75.8%. Claude Opus 4.6 wins this benchmark.
  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 65.4%B 59.5%
    Winner: Claude Opus 4.6Δ 5.9
    Terminal-Bench 2.0: Claude Opus 4.6 scored 65.4%; Step 3.7 Flash scored 59.5%. Claude Opus 4.6 wins this benchmark.
  3. SWE-bench Pro

    Coding
    Source ↗
    A 53.4%B 56.3%
    Winner: Step 3.7 FlashΔ 2.9
    SWE-bench Pro: Claude Opus 4.6 scored 53.4%; Step 3.7 Flash scored 56.3%. Step 3.7 Flash wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.6Step 3.7 FlashComparison
Input / output priceUSD per 1M tokensClaude Opus 4.6$5 input / $25 outputStep 3.7 Flash$0.2 input / $1.15 outputStep 3.7 Flash has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.640 tok/sStep 3.7 FlashNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.61.78 sStep 3.7 FlashNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.61MStep 3.7 Flash256KClaude Opus 4.6 lists the larger context window.

Benchmark Deep Dive

AgenticClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6Step 3.7 FlashResult
Terminal-Bench 2.0Source 65.4%59.5%Claude Opus 4.6 leads
BrowseCompSource 83.7%75.8%Claude Opus 4.6 leads
OSWorld-VerifiedSource 72.7%Not comparable
τ²-bench resultsSource 84.8%98.5%Step 3.7 Flash leads
Claw-EvalSource 70.4%67.1%Claude Opus 4.6 leads
DeepSearchQASource 73.7%92.8%Step 3.7 Flash leads
CyberGymSource 66.6%Not comparable
Gert LabsSource 61.85%51.57%Claude Opus 4.6 leads
ResearchClawBenchSource 19.9%Not comparable
JobBenchSource 36.7%Not comparable
GDPval-AASource 25.9%Not comparable
ToolathlonSource 49.5%Not comparable
HLE w/ toolsSource 47.2%Not comparable
AA Agentic IndexSource 21.5%Not comparable
GDPval-AASource 1017Not comparable
APEX-Agents-AASource 14.8%Not comparable
CodingClaude Opus 4.6 wins
BenchmarkClaude Opus 4.6Step 3.7 FlashResult
SWE-bench VerifiedSource 80.8%Not comparable
SWE-bench Verified*Source 75.6%Not comparable
LiveCodeBench ProSource 70.7%Not comparable
SWE-bench ProSource 53.4%56.3%Step 3.7 Flash leads
SWE-RebenchSource 65.3%Not comparable
React Native EvalsSource 84.1%Not comparable
Vibe Code BenchSource 57.57%Not comparable
Terminal-Bench HardSource 48.5%35.6%Claude Opus 4.6 leads
AA-SciCodeSource 45.7%40.0%Claude Opus 4.6 leads
FrontierCodeSource 26.9%Not comparable
Terminal-Bench 2.0Source 59.5%Not comparable
AA Coding IndexSource 39.6%Not comparable
Reasoning
BenchmarkClaude Opus 4.6Step 3.7 FlashResult
AA-LCRSource 58.3%63.7%Step 3.7 Flash leads
CritPtSource 2.8%2.3%Claude Opus 4.6 leads
Knowledge
BenchmarkClaude Opus 4.6Step 3.7 FlashResult
GPQASource 91.3%Not comparable
GPQA-DSource 89.2%Not comparable
SuperGPQASource 95%Not comparable
MMLU-ProSource 82%Not comparable
MMLU-Pro (Arcee)Source 89.1%Not comparable
HLESource 53%Not comparable
HLE w/o toolsSource 40%Not comparable
HealthBench HardSource 14.8%Not comparable
MedXpertQA (Text)Source 52.1%Not comparable
Artificial Analysis Intelligence IndexSource 37.8%30.3%Claude Opus 4.6 leads
AA-GPQA DiamondSource 84.0%80.9%Claude Opus 4.6 leads
AA-HLESource 18.6%19.9%Step 3.7 Flash leads
AA-Omniscience IndexSource 3.5%-37.5%Claude Opus 4.6 leads
AA-Omniscience AccuracySource 45.2%25.4%Claude Opus 4.6 leads
AA-Omniscience Hallucination RateSource 76.0%84.4%Claude Opus 4.6 leads
Math
BenchmarkClaude Opus 4.6Step 3.7 FlashResult
AIME25 (Arcee)Source 99.8%Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%Not comparable
FrontierMath v2 (Tier 4)Source 22.900%Not comparable
Multimodal
BenchmarkClaude Opus 4.6Step 3.7 FlashResult
MMMU-ProSource 77.3%Not comparable
ERQASource 51.6%Not comparable
ScreenSpot ProSource 83.1%Not comparable
MedXpertQA (MM)Source 64.8%Not comparable
GDPval-AASource 1606Not comparable
AA-MMMU-ProSource 72.5%75.3%Step 3.7 Flash leads
Design Arena WebsiteSource 13301218Claude Opus 4.6 leads
SimpleVQASource 79.2%Not comparable
V*Source 95.3%Not comparable
Inst. Following
BenchmarkClaude Opus 4.6Step 3.7 FlashResult
AA-IFBenchSource 44.6%67.3%Step 3.7 Flash leads
Frequently Asked Questions (3)

Which is better, Claude Opus 4.6 or Step 3.7 Flash?

Claude Opus 4.6 is ahead on BenchLM's provisional leaderboard, 84 to 57. The biggest single separator in this matchup is BrowseComp, where the scores are 83.7% and 75.8%.

Which is better for coding, Claude Opus 4.6 or Step 3.7 Flash?

Claude Opus 4.6 has the edge for coding in this comparison, averaging 68.1 versus 56.3. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Opus 4.6 or Step 3.7 Flash?

Claude Opus 4.6 has the edge for agentic tasks in this comparison, averaging 73 versus 66.4. Inside this category, DeepSearchQA is the benchmark that creates the most daylight between them.

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Last updated: July 16, 2026

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