Model comparison
Claude Sonnet 5 vs Step 3.7 Flash
Head-to-head evidence from 20 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 5 #29 (Estimated); Step 3.7 Flash #110 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and Step 3.7 Flash share 20 comparable benchmark results. 2 of 8 categories are comparable. 16 results are unique to Claude Sonnet 5; 9 to Step 3.7 Flash.
Updated July 23, 2026- Shared results
- 20
- Claude Sonnet 5 only
- 16
- Step 3.7 Flash only
- 9
- Comparable categories
- 2 / 8
Pick Claude Sonnet 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 20 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
Claude Sonnet 5 is clearly ahead on the BenchAlign aggregate, 65.32 to 50.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 5's sharpest advantage is in coding, where it averages 76.7 against 56.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 80.4% to 59.5%.
Claude Sonnet 5 is also the more expensive model on tokens at $2.00 input / $10.00 output per 1M tokens, versus $0.20 input / $1.15 output per 1M tokens for Step 3.7 Flash. That is roughly 8.7x on output cost alone. Claude Sonnet 5 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 | Claude Sonnet 5 | Δ | Step 3.7 Flash |
|---|---|---|---|
| Coding | Claude Sonnet 576.7 | Margin← 20.4 | Step 3.7 Flash56.3 |
| Agentic | Claude Sonnet 581.9 | Margin← 15.5 | Step 3.7 Flash66.4 |
| Knowledge | Claude Sonnet 557.4 | MarginNo overlap | Step 3.7 FlashNot measured |
| Multimodal | Claude Sonnet 588.3 | MarginNo overlap | Step 3.7 FlashNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 80.4%B 59.5%Winner: Claude Sonnet 5Δ 20.9Terminal-Bench 2.0: Claude Sonnet 5 scored 80.4%; Step 3.7 Flash scored 59.5%. Claude Sonnet 5 wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.7%B 75.8%Winner: Claude Sonnet 5Δ 8.9BrowseComp: Claude Sonnet 5 scored 84.7%; Step 3.7 Flash scored 75.8%. Claude Sonnet 5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 63.2%B 56.3%Winner: Claude Sonnet 5Δ 6.9SWE-bench Pro: Claude Sonnet 5 scored 63.2%; Step 3.7 Flash scored 56.3%. Claude Sonnet 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 5 | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | Step 3.7 Flash$0.2 input / $1.15 output | Step 3.7 Flash has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | Step 3.7 Flash256K | Claude Sonnet 5 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Sonnet 5 wins19 benchmarks
| Benchmark | Claude Sonnet 5 | Step 3.7 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | 59.5% | Claude Sonnet 5 leads |
| BrowseCompSource | 84.7% | 75.8% | Claude Sonnet 5 leads |
| HLE w/ toolsSource | 57.4% | 47.2% | Claude Sonnet 5 leads |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | 1017 | Claude Sonnet 5 leads |
| AA Agentic IndexSource | 46.7% | 21.5% | Claude Sonnet 5 leads |
| GDPval-AASource | 55.4% | 25.9% | Claude Sonnet 5 leads |
| AA BriefcaseSource | 1388 | — | Not comparable |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | — | Not comparable |
| AA Harvey LABSource | 90.1% | — | Not comparable |
| AA Tau3 BankingSource | 28.2% | — | Not comparable |
| aaTerminalBench21Source | 80.5% | — | Not comparable |
| DeepSearchQASource | — | 92.8% | Not comparable |
| ToolathlonSource | — | 49.5% | Not comparable |
| Claw-EvalSource | — | 67.1% | Not comparable |
| Gert LabsSource | — | 51.57% | Not comparable |
| τ²-bench resultsSource | — | 98.5% | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
CodingClaude Sonnet 5 wins9 benchmarks
| Benchmark | Claude Sonnet 5 | Step 3.7 Flash | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | — | Not comparable |
| SWE-bench ProSource | 63.2% | 56.3% | Claude Sonnet 5 leads |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | 59.5% | Claude Sonnet 5 leads |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | 39.6% | Claude Sonnet 5 leads |
| AA-SciCodeSource | 53.6% | 40.0% | Claude Sonnet 5 leads |
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Sonnet 5 | Step 3.7 Flash | Result |
|---|---|---|---|
| HLESource | 57.4% | — | Not comparable |
| HLE w/o toolsSource | 43.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.4% | 30.3% | Claude Sonnet 5 leads |
| AA-GPQA DiamondSource | 91.1% | 80.9% | Claude Sonnet 5 leads |
| AA-HLESource | 39.6% | 19.9% | Claude Sonnet 5 leads |
| AA-Omniscience IndexSource | 15.3% | -37.5% | Claude Sonnet 5 leads |
| AA-Omniscience AccuracySource | 38.3% | 25.4% | Claude Sonnet 5 leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 84.4% | Claude Sonnet 5 leads |
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 5 | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 67.3% | Not comparable |
Frequently Asked Questions (3)
Which is better, Claude Sonnet 5 or Step 3.7 Flash?
Claude Sonnet 5 is ahead on BenchLM's BenchAlign leaderboard, 65.32 to 50.87. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 80.4% and 59.5%.
Which is better for coding, Claude Sonnet 5 or Step 3.7 Flash?
Claude Sonnet 5 has the edge for coding in this comparison, averaging 76.7 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, Claude Sonnet 5 or Step 3.7 Flash?
Claude Sonnet 5 has the edge for agentic tasks in this comparison, averaging 81.9 versus 66.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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