Agentic
Not comparable- Inkling-Small
- 36.9
- Supported · #128/152
- Laguna XS 2.1
- Not ranked
- Basis
- BenchAlign lane · 5 vs 1 public rows
- Reading
- Not comparable
Inkling-Small vs Laguna XS 2.1
Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Long documents
Prompts that approach the documented context limit
Inkling-Small
Inkling-Small has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Laguna XS 2.1
Laguna XS 2.1 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Laguna XS 2.1
Laguna XS 2.1 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Laguna XS 2.1
Laguna XS 2.1 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Laguna XS 2.1 is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Laguna XS 2.1 is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limited
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
21 Inkling-Small only
4 Shared
1 Laguna XS 2.1 only
- Shared results
- 4
- Inkling-Small only
- 21
- Laguna XS 2.1 only
- 1
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Coding
Not comparable- Inkling-Small
- 43.8
- Supported · #97/151
- Laguna XS 2.1
- Not ranked
- Basis
- BenchAlign lane · 6 vs 4 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Inkling-Small
- 42.7
- Unranked · 3 rankable rows
- Laguna XS 2.1
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Inkling-Small
- 56.5
- Supported · #46/183
- Laguna XS 2.1
- Not ranked
- Basis
- BenchAlign lane · 6 vs 0 public rows
- Reading
- Not comparable
Math
Not comparable- Inkling-Small
- 76.9
- Unranked · 2 rankable rows
- Laguna XS 2.1
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Inkling-Small
- Not ranked
- Laguna XS 2.1
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Inkling-Small
- 48.8
- #39/48
- Laguna XS 2.1
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Inkling-Small
- 89.6
- #25/123
- Laguna XS 2.1
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
| Category | Inkling-Small | Laguna XS 2.1 | Basis | Reading |
|---|---|---|---|---|
| Agentic | 36.9Supported · #128/152 | Not ranked | Not comparableBenchAlign lane · 5 vs 1 public rows | Not comparable |
| Coding | 43.8Supported · #97/151 | Not ranked | Not comparableBenchAlign lane · 6 vs 4 public rows | Not comparable |
| Reasoning | 42.7Unranked · 3 rankable rows | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Knowledge | 56.5Supported · #46/183 | Not ranked | Not comparableBenchAlign lane · 6 vs 0 public rows | Not comparable |
| Math | 76.9Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 48.8#39/48 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Instruction following | 89.6#25/123 | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
Terminal-Bench 2.0
Agentic
Inkling-Small: 64.7%Laguna XS 2.1: 37.5%Normalized gap 27.2Inkling-Small source Laguna XS 2.1 sourceSWE-bench Verified
Coding
SWE-bench Pro
Coding
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- Inkling-Small
- $0.0013
- Fits in one request
- Laguna XS 2.1
- $0.0002
- Fits in one request
Laguna XS 2.1 has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Inkling-Small
- $0.03332
- Fits in one request
- Laguna XS 2.1
- $0.0056
- Fits in one request
Laguna XS 2.1 has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Inkling-Small
- $0.0492
- Fits in one request
- Laguna XS 2.1
- $0.014
- Fits in one request
Laguna XS 2.1 has the lower modeled cost
Costs use the listed standard API rates.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationInkling-SmallLaguna XS 2.1
Context window
Maximum documented context; output-token limits may be lower.
Inkling-Small
1M
Laguna XS 2.1
API model ID
Inkling-Small
Not sourced
Laguna XS 2.1
poolside/Laguna-XS-2.1
Poolside Laguna XS 2.1 launch postCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Inkling-Small
$0.116 per 1M cached input tokens
Laguna XS 2.1
$0.05 per 1M cached input tokens
Poolside Laguna XS 2.1 launch postDocumented inputs
Inkling-Small
Not sourced
Laguna XS 2.1
Not sourced
Documented outputs
Inkling-Small
Not sourced
Laguna XS 2.1
Not sourced
Provider availability
Inkling-Small
Not sourced
Laguna XS 2.1
Not sourced
Reasoning profile
Inkling-Small
Hybrid
Laguna XS 2.1
Reasoning
Weight access
Inkling-Small
Open Weight
Laguna XS 2.1
Open Weight
License
Inkling-Small
Open Weight
Laguna XS 2.1
Open Weight
Release date
Inkling-Small
2026-07-30
Laguna XS 2.1
2026-07-02
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
- Workload cost
- Repository review: $0.03332 vs $0.0056. Cache-heavy agent loop: $0.0492 vs $0.014.
- Context tradeoff
- Inkling-Small has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence26 rows
Agentic
Terminal-Bench 2.0
Inkling-Small64.7%SourceLaguna XS 2.137.5%SourceInkling-Small leads this result
BrowseComp
Inkling-Small77.4%SourceLaguna XS 2.1—Not directly comparable
MCP Atlas
Inkling-Small79.6%SourceLaguna XS 2.1—Not directly comparable
Toolathlon-Verified
Inkling-Small54.4%SourceLaguna XS 2.1—Not directly comparable
Terminal-Bench 2.1 (Vals)
Inkling-Small55.1%SourceLaguna XS 2.1—Not directly comparable
Coding
SWE-bench Verified
Inkling-Small80.2%SourceLaguna XS 2.170.9%SourceInkling-Small leads this result
SWE-bench Pro
Inkling-Small55.9%SourceLaguna XS 2.147.6%SourceInkling-Small leads this result
Terminal-Bench 2.0
Inkling-Small64.7%SourceLaguna XS 2.137.5%SourceInkling-Small leads this result
SciCode
Inkling-Small48.7%SourceLaguna XS 2.1—Not directly comparable
LiveCodeBench (Vals)
Inkling-Small85.9%SourceLaguna XS 2.1—Not directly comparable
SWE-bench (Vals)
Inkling-Small82.2%SourceLaguna XS 2.1—Not directly comparable
SWE Multilingual
Inkling-Small—Laguna XS 2.163.1%SourceNot directly comparable
Reasoning
Knowledge
GPQA
Inkling-Small89.5%SourceLaguna XS 2.1—Not directly comparable
GPQA-D
Inkling-Small89.5%SourceLaguna XS 2.1—Not directly comparable
HLE
Inkling-Small47.8%SourceLaguna XS 2.1—Not directly comparable
HLE w/o tools
Inkling-Small31.6%SourceLaguna XS 2.1—Not directly comparable
GPQA Diamond (Vals)
Inkling-Small83.6%SourceLaguna XS 2.1—Not directly comparable
MMLU-Pro (Vals)
Inkling-Small85.6%SourceLaguna XS 2.1—Not directly comparable
Math
Multimodal
Instruction following
IFBench
Inkling-Small82.2%SourceLaguna XS 2.1—Not directly comparable
Frequently asked questions
Which is better, Inkling-Small or Laguna XS 2.1?
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Inkling-Small or Laguna XS 2.1?
Laguna XS 2.1 is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Inkling-Small or Laguna XS 2.1?
Laguna XS 2.1 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Inkling-Small or Laguna XS 2.1?
For the stated presets, chat costs $0.0013 on Inkling-Small and $0.0002 on Laguna XS 2.1; repository review costs $0.03332 and $0.0056; the cache-heavy agent loop costs $0.0492 and $0.014. Costs use the listed standard API rates.
Which has the larger context window, Inkling-Small or Laguna XS 2.1?
Inkling-Small has the larger documented context window: 1M, compared with 262K.
Related comparisons
Last updated September 10, 2026
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