Model comparison
Soofi S 30B-A3B vs ZAYA1-8B
Head-to-head evidence from 3 shared benchmark results across 1 category. Overall scores shown here use BenchLM's provisional ranking lane.
Evidence parity. Soofi S 30B-A3B and ZAYA1-8B share 3 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Soofi S 30B-A3B; 8 to ZAYA1-8B.
Updated July 15, 2026- Shared results
- 3
- Soofi S 30B-A3B only
- 5
- ZAYA1-8B only
- 8
- Comparable categories
- 1 / 8
Pick ZAYA1-8B if you want the stronger benchmark profile. Soofi S 30B-A3B only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
ZAYA1-8B is clearly ahead on the provisional aggregate, 55 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
ZAYA1-8B's sharpest advantage is in knowledge, where it averages 73.6 against 49.9. The single biggest benchmark swing on the page is GPQA, 43.4% to 71%.
ZAYA1-8B is the reasoning model in the pair, while Soofi S 30B-A3B 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. Soofi S 30B-A3B gives you the larger context window at 1M, compared with 131K for ZAYA1-8B.
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 | Soofi S 30B-A3B | Δ | ZAYA1-8B |
|---|---|---|---|
| Knowledge | Soofi S 30B-A3B49.9 | Margin→ 23.7 | ZAYA1-8B73.6 |
| Math | Soofi S 30B-A3BNot measured | MarginNo overlap | ZAYA1-8B80.4 |
| Inst. Following | Soofi S 30B-A3BNot measured | MarginNo overlap | ZAYA1-8B64.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Soofi S 30B-A3B | ZAYA1-8B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Soofi S 30B-A3B$0 input / $0 output | ZAYA1-8B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Soofi S 30B-A3BNot available | ZAYA1-8BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Soofi S 30B-A3BNot available | ZAYA1-8BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Soofi S 30B-A3B1M | ZAYA1-8B131K | Soofi S 30B-A3B lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Soofi S 30B-A3B | ZAYA1-8B | Result |
|---|---|---|---|
| BFCL v4Source | — | 39.2% | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
KnowledgeZAYA1-8B wins4 benchmarks
Math5 benchmarks
Frequently Asked Questions (2)
Which is better, Soofi S 30B-A3B or ZAYA1-8B?
ZAYA1-8B is ahead on BenchLM's provisional leaderboard, 55 to 45. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 71%.
Which is better for knowledge tasks, Soofi S 30B-A3B or ZAYA1-8B?
ZAYA1-8B has the edge for knowledge tasks in this comparison, averaging 73.6 versus 49.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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