Model comparison
GLM-4.7 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: GLM-4.7 #31; Soofi S 30B-A3B unranked
Evidence parity. GLM-4.7 and Soofi S 30B-A3B share 2 comparable benchmark results. 1 of 8 categories are comparable. 29 results are unique to GLM-4.7; 6 to Soofi S 30B-A3B.
Updated July 15, 2026- Shared results
- 2
- GLM-4.7 only
- 29
- Soofi S 30B-A3B only
- 6
- Comparable categories
- 1 / 8
Pick GLM-4.7 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 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
GLM-4.7 is clearly ahead on the provisional aggregate, 62 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-4.7's sharpest advantage is in knowledge, where it averages 52.1 against 49.9. The single biggest benchmark swing on the page is GPQA, 85.7% to 43.4%.
GLM-4.7 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 200K for GLM-4.7.
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 | GLM-4.7 | Δ | Soofi S 30B-A3B |
|---|---|---|---|
| Knowledge | GLM-4.752.1 | Margin← 2.2 | Soofi S 30B-A3B49.9 |
| Agentic | GLM-4.745.7 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Coding | GLM-4.773.8 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Math | GLM-4.71.8 | MarginNo overlap | Soofi S 30B-A3BNot measured |
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 | GLM-4.7 | Soofi S 30B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-4.7$0 input / $0 output | Soofi S 30B-A3B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | GLM-4.782 tok/s | Soofi S 30B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-4.71.10 s | Soofi S 30B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-4.7200K | Soofi S 30B-A3B1M | Soofi S 30B-A3B lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | GLM-4.7 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 41% | — | Not comparable |
| BrowseCompSource | 52% | — | Not comparable |
| VITA-BenchSource | 15.5% | — | Not comparable |
| AA Agentic IndexSource | 25.4% | — | Not comparable |
| τ²-bench resultsSource | 95.9% | — | Not comparable |
| Gert LabsSource | 39.95% | — | Not comparable |
| GDPval-AASource | 33.3% | — | Not comparable |
| GDPval-AASource | 1165 | — | Not comparable |
Coding8 benchmarks
| Benchmark | GLM-4.7 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.8% | — | Not comparable |
| LiveCodeBenchSource | 84.9% | — | Not comparable |
| SWE-RebenchSource | 58.7% | — | Not comparable |
| AA Coding IndexSource | 45.3% | — | Not comparable |
| Terminal-Bench HardSource | 31.8% | — | Not comparable |
| AA-SciCodeSource | 45.1% | — | Not comparable |
| AA LiveCodeBenchSource | 89.4% | — | Not comparable |
| HumanEvalSource | — | 73.8% | Not comparable |
Reasoning4 benchmarks
KnowledgeGLM-4.7 wins11 benchmarks
| Benchmark | GLM-4.7 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| GPQASource | 85.7% | 43.4% | GLM-4.7 leads |
| MMLU-ProSource | 84.3% | 51.4% | GLM-4.7 leads |
| HLESource | 24.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 33.7% | — | Not comparable |
| AA-GPQA DiamondSource | 85.9% | — | Not comparable |
| AA-HLESource | 25.1% | — | Not comparable |
| AA-Omniscience IndexSource | -34.6% | — | Not comparable |
| AA-Omniscience AccuracySource | 29.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 90.3% | — | Not comparable |
| GPQA-DSource | — | 43.4% | Not comparable |
| AGIEvalSource | — | 66.9% | Not comparable |
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-4.7 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1260 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GLM-4.7 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| AA-IFBenchSource | 67.9% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, GLM-4.7 or Soofi S 30B-A3B?
GLM-4.7 is ahead on BenchLM's provisional leaderboard, 62 to 45. The biggest single separator in this matchup is GPQA, where the scores are 85.7% and 43.4%.
Which is better for knowledge tasks, GLM-4.7 or Soofi S 30B-A3B?
GLM-4.7 has the edge for knowledge tasks in this comparison, averaging 52.1 versus 49.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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