Model comparison
GLM-5 vs Soofi S 30B-A3B
Head-to-head evidence from 3 shared benchmark results across 1 category. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: GLM-5 #15; Soofi S 30B-A3B unranked
Evidence parity. GLM-5 and Soofi S 30B-A3B share 3 comparable benchmark results. 1 of 8 categories are comparable. 47 results are unique to GLM-5; 5 to Soofi S 30B-A3B.
Updated July 15, 2026- Shared results
- 3
- GLM-5 only
- 47
- Soofi S 30B-A3B only
- 5
- Comparable categories
- 1 / 8
Pick GLM-5 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 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
GLM-5 is clearly ahead on the provisional aggregate, 64 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5's sharpest advantage is in knowledge, where it averages 66.6 against 49.9. The single biggest benchmark swing on the page is GPQA, 86% to 43.4%.
GLM-5 is also the more expensive model on tokens at $1.00 input / $3.20 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 GLM-5.
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-5 | Δ | Soofi S 30B-A3B |
|---|---|---|---|
| Knowledge | GLM-566.6 | Margin← 16.7 | Soofi S 30B-A3B49.9 |
| Agentic | GLM-556.2 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Coding | GLM-563.3 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Reasoning | GLM-560.8 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Math | GLM-556.3 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Multilingual | GLM-583.1 | MarginNo overlap | Soofi S 30B-A3BNot measured |
| Inst. Following | GLM-592.6 | 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-5 | Soofi S 30B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-5$1 input / $3.2 output | Soofi S 30B-A3B$0 input / $0 output | Soofi S 30B-A3B has the lower combined listed price. |
| Generation speedtokens per second | GLM-574 tok/s | Soofi S 30B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-51.64 s | Soofi S 30B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-5200K | Soofi S 30B-A3B1M | Soofi S 30B-A3B lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | GLM-5 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.2% | — | Not comparable |
| Claw-EvalSource | 57.7% | — | Not comparable |
| QwenClawBenchSource | 54.1% | — | Not comparable |
| τ³-bench resultsSource | 65.6% | — | Not comparable |
| DeepPlanningSource | 14.6% | — | Not comparable |
| ToolathlonSource | 38% | — | Not comparable |
| MCP AtlasSource | 31.1% | — | Not comparable |
| MCP-TasksSource | 60.8% | — | Not comparable |
| WideResearchSource | 69.8% | — | Not comparable |
| τ²-bench resultsSource | 98.2% | — | Not comparable |
| CyberGymSource | 43.2% | — | Not comparable |
| APEX-Agents-AASource | 14.5% | — | Not comparable |
| Gert LabsSource | 50.99% | — | Not comparable |
Coding9 benchmarks
| Benchmark | GLM-5 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.8% | — | Not comparable |
| SWE-bench Verified*Source | 72.8% | — | Not comparable |
| SWE-bench ProSource | 55.1% | — | Not comparable |
| SWE MultilingualSource | 73.3% | — | Not comparable |
| SWE-RebenchSource | 62.8% | — | Not comparable |
| React Native EvalsSource | 74.8% | — | Not comparable |
| Terminal-Bench HardSource | 43.2% | — | Not comparable |
| AA-SciCodeSource | 46.2% | — | Not comparable |
| HumanEvalSource | — | 73.8% | Not comparable |
Reasoning6 benchmarks
KnowledgeGLM-5 wins13 benchmarks
| Benchmark | GLM-5 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| GPQASource | 86% | 43.4% | GLM-5 leads |
| GPQA-DSource | 86.0% | 43.4% | GLM-5 leads |
| SuperGPQASource | 66.8% | — | Not comparable |
| MMLU-ProSource | 85.7% | 51.4% | GLM-5 leads |
| MMLU-Pro (Arcee)Source | 85.8% | — | Not comparable |
| HLESource | 50.4% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 39.5% | — | Not comparable |
| AA-GPQA DiamondSource | 82.0% | — | Not comparable |
| AA-HLESource | 27.2% | — | Not comparable |
| AA-Omniscience IndexSource | 2.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 26.9% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 34.0% | — | Not comparable |
| AGIEvalSource | — | 66.9% | Not comparable |
Math9 benchmarks
| Benchmark | GLM-5 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| AIME26Source | 95.8% | — | Not comparable |
| AIME25 (Arcee)Source | 93.3% | — | Not comparable |
| HMMT Feb 2025Source | 97.5% | — | Not comparable |
| HMMT Nov 2025Source | 96.9% | — | Not comparable |
| HMMT Feb 2026Source | 86.4% | — | Not comparable |
| MMAnswerBenchSource | 82.5% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 16.434% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 2.100% | — | Not comparable |
| GSM8KSource | — | 86.1% | Not comparable |
Multilingual2 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-5 | Soofi S 30B-A3B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1282 | — | Not comparable |
Frequently Asked Questions (2)
Which is better, GLM-5 or Soofi S 30B-A3B?
GLM-5 is ahead on BenchLM's provisional leaderboard, 64 to 45. The biggest single separator in this matchup is GPQA, where the scores are 86% and 43.4%.
Which is better for knowledge tasks, GLM-5 or Soofi S 30B-A3B?
GLM-5 has the edge for knowledge tasks in this comparison, averaging 66.6 versus 49.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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