Model comparison
Claude Opus 4.6 (Adaptive) vs Soofi S 30B-A3B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Evidence parity. Claude Opus 4.6 (Adaptive) and Soofi S 30B-A3B share 0 comparable benchmark results. 0 of 8 categories are comparable. 17 results are unique to Claude Opus 4.6 (Adaptive); 8 to Soofi S 30B-A3B.
Updated July 15, 2026- Shared results
- 0
- Claude Opus 4.6 (Adaptive) only
- 17
- Soofi S 30B-A3B only
- 8
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.6 (Adaptive) and Soofi S 30B-A3B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 (Adaptive) | Soofi S 30B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6 (Adaptive)Not available | Soofi S 30B-A3B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.6 (Adaptive)Not available | Soofi S 30B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.6 (Adaptive)Not available | Soofi S 30B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.6 (Adaptive)1M | Soofi S 30B-A3B1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding4 benchmarks
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Opus 4.6 (Adaptive) | Soofi S 30B-A3B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 43.7% | — | Not comparable |
| AA-GPQA DiamondSource | 89.6% | — | Not comparable |
| AA-HLESource | 36.7% | — | Not comparable |
| AA-Omniscience IndexSource | 13.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 46.4% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 61.3% | — | Not comparable |
| GPQASource | — | 43.4% | Not comparable |
| GPQA-DSource | — | 43.4% | Not comparable |
| MMLU-ProSource | — | 51.4% | Not comparable |
| AGIEvalSource | — | 66.9% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Opus 4.6 (Adaptive) | Soofi S 30B-A3B | Result |
|---|---|---|---|
| GSM8KSource | — | 86.1% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.6 (Adaptive) | Soofi S 30B-A3B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 92.2% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 (Adaptive) | Soofi S 30B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | 53.1% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.6 (Adaptive) and Soofi S 30B-A3B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Opus 4.6 (Adaptive) and Soofi S 30B-A3B today?
Soofi S 30B-A3B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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