Model comparison
GLM-5 (Reasoning) vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-5 (Reasoning) #59 (Estimated); Nemotron 3 Nano Omni 30B A3B #159 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-5 (Reasoning) and Nemotron 3 Nano Omni 30B A3B share 0 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to GLM-5 (Reasoning); 29 to Nemotron 3 Nano Omni 30B A3B.
Updated July 27, 2026- Shared results
- 0
- GLM-5 (Reasoning) only
- 2
- Nemotron 3 Nano Omni 30B A3B only
- 29
- Comparable categories
- 0 / 8
Benchmark data for GLM-5 (Reasoning) and Nemotron 3 Nano Omni 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.
GLM-5 (Reasoning) is priced at $1.00 input / $3.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano Omni 30B A3B. Nemotron 3 Nano Omni 30B A3B has the larger context window at 256K, compared with 200K for GLM-5 (Reasoning).
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-5 (Reasoning) | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-5 (Reasoning)$1 input / $3.2 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 (Reasoning)Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-5 (Reasoning)Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-5 (Reasoning)200K | Nemotron 3 Nano Omni 30B A3B256K | Nemotron 3 Nano Omni 30B A3B lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GLM-5 (Reasoning) | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| MMLU-ProSource | — | 77.3% | Not comparable |
| GPQASource | — | 72.2% | Not comparable |
| GPQA-DSource | — | 72.2% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 14.9% | Not comparable |
| AA-GPQA DiamondSource | — | 46.9% | Not comparable |
| AA-HLESource | — | 5.3% | Not comparable |
| AA-Omniscience IndexSource | — | -56.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 14.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 83.1% | Not comparable |
Math1 benchmarks
| Benchmark | GLM-5 (Reasoning) | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AIME 2025Source | — | 82.1% | Not comparable |
Multimodal9 benchmarks
| Benchmark | GLM-5 (Reasoning) | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1274 | — | 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)
Can I compare GLM-5 (Reasoning) and Nemotron 3 Nano Omni 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 GLM-5 (Reasoning) and Nemotron 3 Nano Omni 30B A3B today?
GLM-5 (Reasoning): $1.00 input / $3.20 output per 1M tokens Nemotron 3 Nano Omni 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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