Model comparison
Laguna XS.2 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.
BenchAlign evidence: Laguna XS.2 not scored; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Laguna XS.2 and Step 3.7 Flash share 3 comparable benchmark results. 2 of 8 categories are comparable. 2 results are unique to Laguna XS.2; 27 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 3
- Laguna XS.2 only
- 2
- Step 3.7 Flash only
- 27
- Comparable categories
- 2 / 8
Pick Step 3.7 Flash if you want the stronger benchmark profile. Laguna XS.2 only becomes the better choice if coding is the priority or you want the cheaper token bill.
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
Step 3.7 Flash is clearly ahead on the provisional aggregate, 57 to 46. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Step 3.7 Flash's sharpest advantage is in agentic, where it averages 66.4 against 35.7. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 35.7% to 59.5%. Laguna XS.2 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Step 3.7 Flash is also the more expensive model on tokens at $0.20 input / $1.15 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Laguna XS.2. That is roughly Infinityx on output cost alone.
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 XS.2 | Δ | Step 3.7 Flash |
|---|---|---|---|
| Agentic | Laguna XS.235.7 | Margin→ 30.7 | Step 3.7 Flash66.4 |
| Coding | Laguna XS.260.8 | Margin← 4.5 | 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 35.7%B 59.5%Winner: Step 3.7 FlashΔ 23.8Terminal-Bench 2.0: Laguna XS.2 scored 35.7%; Step 3.7 Flash scored 59.5%. Step 3.7 Flash wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 46.3%B 56.3%Winner: Step 3.7 FlashΔ 10SWE-bench Pro: Laguna XS.2 scored 46.3%; 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.
| Metric | Laguna XS.2 | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Laguna XS.2$0 input / $0 output | Step 3.7 Flash$0.2 input / $1.15 output | Laguna XS.2 has the lower combined listed price. |
| Generation speedtokens per second | Laguna XS.2Not available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Laguna XS.2Not available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Laguna XS.2256K | Step 3.7 Flash256K | Listed context windows are equal. |
Benchmark Deep Dive
AgenticStep 3.7 Flash wins12 benchmarks
| Benchmark | Laguna XS.2 | Step 3.7 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 35.7% | 59.5% | Step 3.7 Flash leads |
| 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 XS.2 wins7 benchmarks
| Benchmark | Laguna XS.2 | Step 3.7 Flash | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 69.9% | — | Not comparable |
| SWE MultilingualSource | 57.7% | — | Not comparable |
| SWE-bench ProSource | 46.3% | 56.3% | Step 3.7 Flash leads |
| Terminal-Bench 2.0Source | 35.7% | 59.5% | Step 3.7 Flash leads |
| AA Coding IndexSource | — | 39.6% | Not comparable |
| Terminal-Bench HardSource | — | 35.6% | Not comparable |
| AA-SciCodeSource | — | 40.0% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Laguna XS.2 | 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 XS.2 | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 67.3% | Not comparable |
Frequently Asked Questions (3)
Which is better, Laguna XS.2 or Step 3.7 Flash?
Step 3.7 Flash is ahead on BenchLM's provisional leaderboard, 57 to 46. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 35.7% and 59.5%.
Which is better for coding, Laguna XS.2 or Step 3.7 Flash?
Laguna XS.2 has the edge for coding in this comparison, averaging 60.8 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 XS.2 or Step 3.7 Flash?
Step 3.7 Flash has the edge for agentic tasks in this comparison, averaging 66.4 versus 35.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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