Model comparison
Inkling vs Laguna M.1
Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Inkling #17; Laguna M.1 unranked
Evidence parity. Inkling and Laguna M.1 share 4 comparable benchmark results. 2 of 8 categories are comparable. 12 results are unique to Inkling; 1 to Laguna M.1.
Updated July 15, 2026- Shared results
- 4
- Inkling only
- 12
- Laguna M.1 only
- 1
- Comparable categories
- 2 / 8
Pick Inkling if you want the stronger benchmark profile. Laguna M.1 only becomes the better choice if you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 4 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
Inkling is clearly ahead on the provisional aggregate, 69 to 52. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Inkling's sharpest advantage is in agentic, where it averages 69.4 against 45.8. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63.8% to 45.8%.
Laguna M.1 is the reasoning model in the pair, while Inkling 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. Inkling gives you the larger context window at 1M, compared with 256K for Laguna M.1.
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 | Inkling | Δ | Laguna M.1 |
|---|---|---|---|
| Agentic | Inkling69.4 | Margin← 23.6 | Laguna M.145.8 |
| Coding | Inkling68.6 | Margin← 3.8 | Laguna M.164.8 |
| Knowledge | Inkling51.7 | MarginNo overlap | Laguna M.1Not measured |
| Math | Inkling97.1 | MarginNo overlap | Laguna M.1Not measured |
| Multimodal | Inkling76.5 | MarginNo overlap | Laguna M.1Not measured |
| Inst. Following | Inkling79.8 | MarginNo overlap | Laguna M.1Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 63.8%B 45.8%Winner: InklingΔ 18Terminal-Bench 2.0: Inkling scored 63.8%; Laguna M.1 scored 45.8%. Inkling wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 54.3%B 49.2%Winner: InklingΔ 5.1SWE-bench Pro: Inkling scored 54.3%; Laguna M.1 scored 49.2%. Inkling wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 77.6%B 74.6%Winner: InklingΔ 3SWE-bench Verified: Inkling scored 77.6%; Laguna M.1 scored 74.6%. Inkling wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Inkling | Laguna M.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Inkling$1.87 input / $4.68 output | Laguna M.1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | InklingNot available | Laguna M.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | InklingNot available | Laguna M.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Inkling1M | Laguna M.1256K | Inkling lists the larger context window. |
Benchmark Deep Dive
Frequently Asked Questions (3)
Which is better, Inkling or Laguna M.1?
Inkling is ahead on BenchLM's provisional leaderboard, 69 to 52. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63.8% and 45.8%.
Which is better for coding, Inkling or Laguna M.1?
Inkling has the edge for coding in this comparison, averaging 68.6 versus 64.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Inkling or Laguna M.1?
Inkling has the edge for agentic tasks in this comparison, averaging 69.4 versus 45.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Related Comparisons
The AI models change fast. We track them for you.
A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.