Knowledge
Directional only- Inkling-Small
- 53.4
- Soofi S 30B-A3B
- 49.9
- Weighted basis
- 2 vs 2 rows
- Reading
- Directional only
Model comparison
Updated July 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
2 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
| Category | Inkling-Small | Soofi S 30B-A3B | Weighted basis | Reading |
|---|---|---|---|---|
| Knowledge | 53.4 | 49.9 | Directional only2 vs 2 rows | Directional only |
| Agentic | 70.1 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Coding | 62.4 | Not measured | Not comparable3 vs 0 rows | Not comparable |
| Reasoning | 40.1 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Math | 92.9 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | 76.6 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Instruction following | 82.2 | Not measured | Not comparable1 vs 0 rows | Not comparable |
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.
GPQA
Knowledge
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.
1K fresh input + 500 output tokens
Soofi S 30B-A3B has no comparable published API token rate.
50K fresh input + 3K output tokens
Soofi S 30B-A3B has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Soofi S 30B-A3B has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Inkling-Small
1M
Soofi S 30B-A3B
1M
Inkling-Small
Not sourced
Soofi S 30B-A3B
Not sourced
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
Soofi S 30B-A3B
No comparable hosted API rate
Inkling-Small
Not sourced
Soofi S 30B-A3B
Not sourced
Inkling-Small
Not sourced
Soofi S 30B-A3B
Not sourced
Inkling-Small
Not sourced
Soofi S 30B-A3B
Not sourced
Inkling-Small
Hybrid
Soofi S 30B-A3B
Non-Reasoning
Inkling-Small
Open Weight
Soofi S 30B-A3B
Open Weight
Inkling-Small
Open Weight
Soofi S 30B-A3B
Open Weight
Inkling-Small
2026-07-30
Soofi S 30B-A3B
2026-07-10
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Not directly comparable
BrowseComp
Not directly comparable
MCP Atlas
Not directly comparable
Toolathlon-Verified
Not directly comparable
SWE-bench Verified
Not directly comparable
SWE-bench Pro
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
SciCode
Not directly comparable
HumanEval
Not directly comparable
GPQA
Inkling-Small leads this result
GPQA-D
Inkling-Small leads this result
HLE
Not directly comparable
HLE w/o tools
Not directly comparable
MMLU-Pro
Not directly comparable
AGIEval
Not directly comparable
IFBench
Not directly comparable
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.
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Both models list the same context window, 1M.
Last updated July 30, 2026
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