Model comparison
Claude Sonnet 4.6 vs Soofi S 30B-A3B
Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: Claude Sonnet 4.6 #12; Soofi S 30B-A3B unranked
Evidence parity. Claude Sonnet 4.6 and Soofi S 30B-A3B share 2 comparable benchmark results. 1 of 8 categories are comparable. 32 results are unique to Claude Sonnet 4.6; 6 to Soofi S 30B-A3B.
Updated July 15, 2026- Shared results
- 2
- Claude Sonnet 4.6 only
- 32
- Soofi S 30B-A3B only
- 6
- Comparable categories
- 1 / 8
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Soofi S 30B-A3B only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 2 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
Claude Sonnet 4.6 is clearly ahead on the provisional aggregate, 78 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in knowledge, where it averages 66.2 against 49.9. The single biggest benchmark swing on the page is GPQA, 89.9% to 43.4%.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Soofi S 30B-A3B. That is roughly Infinityx on output cost alone. Soofi S 30B-A3B gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.6.
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 | Claude Sonnet 4.6 | Δ | Soofi S 30B-A3B |
|---|---|---|---|
| Knowledge | Claude Sonnet 4.666.2 | Margin← 16.3 | Soofi S 30B-A3B49.9 |
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Coding | Claude Sonnet 4.669.1 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Math | Claude Sonnet 4.626.4 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | Soofi S 30B-A3BNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 89.9%B 43.4%Winner: Claude Sonnet 4.6Δ 46.5GPQA: Claude Sonnet 4.6 scored 89.9%; Soofi S 30B-A3B scored 43.4%. Claude Sonnet 4.6 wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 79.2%B 51.4%Winner: Claude Sonnet 4.6Δ 27.8MMLU-Pro: Claude Sonnet 4.6 scored 79.2%; Soofi S 30B-A3B scored 51.4%. Claude Sonnet 4.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | Soofi S 30B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Soofi S 30B-A3B$0 input / $0 output | Soofi S 30B-A3B has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Soofi S 30B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Soofi S 30B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Soofi S 30B-A3B1M | Soofi S 30B-A3B lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Sonnet 4.6 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | — | Not comparable |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Sonnet 4.6 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| Terminal-Bench HardSource | 46.2% | — | Not comparable |
| AA-SciCodeSource | 46.9% | — | Not comparable |
| FrontierCodeSource | 24.3% | — | Not comparable |
| HumanEvalSource | — | 73.8% | Not comparable |
Reasoning4 benchmarks
KnowledgeClaude Sonnet 4.6 wins12 benchmarks
| Benchmark | Claude Sonnet 4.6 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| GPQASource | 89.9% | 43.4% | Claude Sonnet 4.6 leads |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | 51.4% | Claude Sonnet 4.6 leads |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | — | Not comparable |
| AA-GPQA DiamondSource | 79.9% | — | Not comparable |
| AA-HLESource | 13.2% | — | Not comparable |
| AA-Omniscience IndexSource | -2.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 38.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 65.9% | — | Not comparable |
| GPQA-DSource | — | 43.4% | Not comparable |
| AGIEvalSource | — | 66.9% | Not comparable |
Math3 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Sonnet 4.6 or Soofi S 30B-A3B?
Claude Sonnet 4.6 is ahead on BenchLM's provisional leaderboard, 78 to 45. The biggest single separator in this matchup is GPQA, where the scores are 89.9% and 43.4%.
Which is better for knowledge tasks, Claude Sonnet 4.6 or Soofi S 30B-A3B?
Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 66.2 versus 49.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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