Model comparison
GLM-5.2 vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 16 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-5.2 #37 (Estimated); Nemotron 3 Nano Omni 30B A3B #151 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-5.2 and Nemotron 3 Nano Omni 30B A3B share 16 comparable benchmark results. 2 of 8 categories are comparable. 27 results are unique to GLM-5.2; 13 to Nemotron 3 Nano Omni 30B A3B.
Updated July 23, 2026- Shared results
- 16
- GLM-5.2 only
- 27
- Nemotron 3 Nano Omni 30B A3B only
- 13
- Comparable categories
- 2 / 8
Pick GLM-5.2 if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 5 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
GLM-5.2 is clearly ahead on the BenchAlign aggregate, 63.96 to 44.24. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GLM-5.2's sharpest advantage is in coding, where it averages 62.1 against 32. The single biggest benchmark swing on the page is GPQA, 91.2% to 72.2%. Nemotron 3 Nano Omni 30B A3B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
GLM-5.2 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano Omni 30B A3B. That is roughly Infinityx on output cost alone. GLM-5.2 gives you the larger context window at 1M, compared with 256K for Nemotron 3 Nano Omni 30B A3B.
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-5.2 | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | GLM-5.262.1 | Margin← 30.1 | Nemotron 3 Nano Omni 30B A3B32.0 |
| Knowledge | GLM-5.259.6 | Margin→ 16.7 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Agentic | GLM-5.281.0 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Math | GLM-5.295.9 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Multimodal | GLM-5.2Not measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
| Inst. Following | GLM-5.2Not measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B74.2 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 91.2%B 72.2%Winner: GLM-5.2Δ 19GPQA: GLM-5.2 scored 91.2%; Nemotron 3 Nano Omni 30B A3B scored 72.2%. GLM-5.2 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-5.2 | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-5.2$1.4 input / $4.4 output | Nemotron 3 Nano Omni 30B A3B$0 input / $0 output | Nemotron 3 Nano Omni 30B A3B has the lower combined listed price. |
| Generation speedtokens per second | GLM-5.2Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-5.2Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-5.21M | Nemotron 3 Nano Omni 30B A3B256K | GLM-5.2 lists the larger context window. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | GLM-5.2 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 81% | — | Not comparable |
| MCP AtlasSource | 76.8% | — | Not comparable |
| ToolathlonSource | 48.2% | — | Not comparable |
| AA Agentic IndexSource | 43.1% | — | Not comparable |
| τ²-bench resultsSource | 99.1% | 45.3% | GLM-5.2 leads |
| GDPval-AASource | 50.7% | 0.0% | GLM-5.2 leads |
| GDPval-AASource | 1514 | 467 | GLM-5.2 leads |
| APEX-Agents-AASource | 33.7% | — | Not comparable |
| ResearchClawBenchSource | 20.7% | — | Not comparable |
| AA BriefcaseSource | 1260 | — | Not comparable |
| AA AutomationBenchSource | 27.8% | — | Not comparable |
| AA EnterpriseOps-GymSource | 42.7% | — | Not comparable |
| AA Harvey LABSource | 91.0% | — | Not comparable |
| AA ITBenchSource | 42.7% | — | Not comparable |
| AA Tau3 BankingSource | 26.8% | — | Not comparable |
| terminalBenchHardSource | 50.8% | — | Not comparable |
| aaTerminalBench21Source | 77.9% | — | Not comparable |
| OSWorldSource | — | 47.4% | Not comparable |
CodingGLM-5.2 wins8 benchmarks
| Benchmark | GLM-5.2 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| SWE-bench ProSource | 62.1% | — | Not comparable |
| NL2RepoSource | 48.9% | — | Not comparable |
| Terminal-Bench 2.0Source | 81.0% | — | Not comparable |
| ProgramBenchSource | 63.7% | — | Not comparable |
| cursorBench32Source | 55.0% | — | Not comparable |
| AA Coding IndexSource | 68.8% | 13.8% | GLM-5.2 leads |
| AA-SciCodeSource | 50.5% | 27.8% | GLM-5.2 leads |
| SciCodeSource | — | 32% | Not comparable |
Reasoning2 benchmarks
KnowledgeNemotron 3 Nano Omni 30B A3B wins12 benchmarks
| Benchmark | GLM-5.2 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| GPQASource | 91.2% | 72.2% | GLM-5.2 leads |
| GPQA-DSource | 91.2% | 72.2% | GLM-5.2 leads |
| HLESource | 54.7% | — | Not comparable |
| HLE w/o toolsSource | 40.5% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 51.1% | 14.9% | GLM-5.2 leads |
| AA-GPQA DiamondSource | 89.5% | 46.9% | GLM-5.2 leads |
| AA-HLESource | 40.1% | 5.3% | GLM-5.2 leads |
| AA-Omniscience IndexSource | 4.0% | -56.0% | GLM-5.2 leads |
| AA-Omniscience AccuracySource | 25.1% | 14.8% | GLM-5.2 leads |
| AA-Omniscience Hallucination RateSource | 28.1% | 83.1% | GLM-5.2 leads |
| AA Openness IndexSource | 44.4% | — | Not comparable |
| MMLU-ProSource | — | 77.3% | Not comparable |
Math5 benchmarks
Multimodal9 benchmarks
| Benchmark | GLM-5.2 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1340 | — | Not comparable |
| MMMUSource | — | 70.8% | Not comparable |
| MMLongBench-DocSource | — | 57.5% | Not comparable |
| CharXivSource | — | 76.3% | Not comparable |
| ScreenSpot ProSource | — | 57.8% | Not comparable |
| Video-MME (w/o subtitle)Source | — | 72.2% | Not comparable |
| AI2D_TESTSource | — | 88.5% | Not comparable |
| RefCOCO (avg)Source | — | 90.5% | Not comparable |
| AA-MMMU-ProSource | — | 53.2% | Not comparable |
Frequently Asked Questions (3)
Which is better, GLM-5.2 or Nemotron 3 Nano Omni 30B A3B?
GLM-5.2 is ahead on BenchLM's BenchAlign leaderboard, 63.96 to 44.24. The biggest single separator in this matchup is GPQA, where the scores are 91.2% and 72.2%.
Which is better for knowledge tasks, GLM-5.2 or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 76.3 versus 59.6. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, GLM-5.2 or Nemotron 3 Nano Omni 30B A3B?
GLM-5.2 has the edge for coding in this comparison, averaging 62.1 versus 32. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
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