Model comparison
Laguna S 2.1 vs Step 3.7 Flash
Head-to-head evidence from 3 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Laguna S 2.1 unranked (Not scored); Step 3.7 Flash #110 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Laguna S 2.1 and Step 3.7 Flash share 3 comparable benchmark results. 2 of 8 categories are comparable. 3 results are unique to Laguna S 2.1; 26 to Step 3.7 Flash.
Updated July 21, 2026- Shared results
- 3
- Laguna S 2.1 only
- 3
- Step 3.7 Flash only
- 26
- Comparable categories
- 2 / 8
Treat this as a split decision. Laguna S 2.1 makes more sense if agentic is the priority or you want the cheaper token bill; Step 3.7 Flash is the better fit if its strengths line up with your actual workload.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 2 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
Laguna S 2.1 and Step 3.7 Flash finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Step 3.7 Flash is also the more expensive model on tokens at $0.20 input / $1.15 output per 1M tokens, versus $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1. That is roughly 5.7x on output cost alone. Laguna S 2.1 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 | Laguna S 2.1 | Δ | Step 3.7 Flash |
|---|---|---|---|
| Agentic | Laguna S 2.170.2 | Margin← 3.8 | Step 3.7 Flash66.4 |
| Coding | Laguna S 2.159.4 | Margin← 3.1 | Step 3.7 Flash56.3 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 70.2%B 59.5%Winner: Laguna S 2.1Δ 10.7Terminal-Bench 2.0: Laguna S 2.1 scored 70.2%; Step 3.7 Flash scored 59.5%. Laguna S 2.1 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 59.4%B 56.3%Winner: Laguna S 2.1Δ 3.1SWE-bench Pro: Laguna S 2.1 scored 59.4%; Step 3.7 Flash scored 56.3%. Laguna S 2.1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Laguna S 2.1 | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna S 2.1$0.1 input / $0.2 output | Step 3.7 Flash$0.2 input / $1.15 output | Laguna S 2.1 has the lower combined listed price. |
| Generation speedtokens per second | Laguna S 2.1Not available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna S 2.1Not available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna S 2.11M | Step 3.7 Flash256K | Laguna S 2.1 lists the larger context window. |
Benchmark Deep Dive
AgenticLaguna S 2.1 wins13 benchmarks
| Benchmark | Laguna S 2.1 | Step 3.7 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 70.2% | 59.5% | Laguna S 2.1 leads |
| Toolathlon-VerifiedSource | 49.7% | — | 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 |
CodingLaguna S 2.1 wins6 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Laguna S 2.1 | Step 3.7 Flash | Result |
|---|---|---|---|
| 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 |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Laguna S 2.1 | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 67.3% | Not comparable |
Frequently Asked Questions (3)
Which is better, Laguna S 2.1 or Step 3.7 Flash?
Laguna S 2.1 and Step 3.7 Flash are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for coding, Laguna S 2.1 or Step 3.7 Flash?
Laguna S 2.1 has the edge for coding in this comparison, averaging 59.4 versus 56.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Laguna S 2.1 or Step 3.7 Flash?
Laguna S 2.1 has the edge for agentic tasks in this comparison, averaging 70.2 versus 66.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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