Model comparison
GLM-5 vs Nemotron 3 Ultra
Head-to-head evidence from 22 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GLM-5 #28 (Supported); Nemotron 3 Ultra unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GLM-5 and Nemotron 3 Ultra share 22 comparable benchmark results. 6 of 8 categories are comparable. 27 results are unique to GLM-5; 16 to Nemotron 3 Ultra.
Updated July 23, 2026- Shared results
- 22
- GLM-5 only
- 27
- Nemotron 3 Ultra only
- 16
- Comparable categories
- 6 / 8
Treat this as a split decision. GLM-5 makes more sense if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Nemotron 3 Ultra is the better fit if reasoning is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 22 shared benchmark results across 7 evidence categories; 6 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 and Nemotron 3 Ultra finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
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 Nemotron 3 Ultra. That is roughly Infinityx on output cost alone. Nemotron 3 Ultra is the reasoning model in the pair, while GLM-5 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. Nemotron 3 Ultra 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 | Nemotron 3 Ultra |
|---|---|---|---|
| Knowledge | GLM-566.4 | Margin← 12.6 | Nemotron 3 Ultra53.8 |
| Inst. Following | GLM-592.6 | Margin← 10.9 | Nemotron 3 Ultra81.7 |
| Coding | GLM-566.3 | Margin← 8.0 | Nemotron 3 Ultra58.3 |
| Agentic | GLM-556.2 | Margin← 4.9 | Nemotron 3 Ultra51.3 |
| Reasoning | GLM-560.8 | Margin→ 1.1 | Nemotron 3 Ultra61.9 |
| Multilingual | GLM-583.1 | Margin← 0.1 | Nemotron 3 Ultra83.0 |
| Math | GLM-556.3 | MarginNo overlap | Nemotron 3 UltraNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 50.4%B 26.7%Winner: GLM-5Δ 23.7HLE: GLM-5 scored 50.4%; Nemotron 3 Ultra scored 26.7%. GLM-5 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 77.8%B 71.9%Winner: GLM-5Δ 5.9SWE-bench Verified: GLM-5 scored 77.8%; Nemotron 3 Ultra scored 71.9%. GLM-5 wins this benchmark. - Source ↗
LongBench v2
ReasoningA 60.8%B 61.9%Winner: Nemotron 3 UltraΔ 1.1LongBench v2: GLM-5 scored 60.8%; Nemotron 3 Ultra scored 61.9%. Nemotron 3 Ultra wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 85.7%B 86.8%Winner: Nemotron 3 UltraΔ 1.1MMLU-Pro: GLM-5 scored 85.7%; Nemotron 3 Ultra scored 86.8%. Nemotron 3 Ultra wins this benchmark. - Source ↗
GPQA
KnowledgeA 86%B 87%Winner: Nemotron 3 UltraΔ 1GPQA: GLM-5 scored 86%; Nemotron 3 Ultra scored 87%. Nemotron 3 Ultra wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GLM-5 | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GLM-5$1 input / $3.2 output | Nemotron 3 Ultra$0 input / $0 output | Nemotron 3 Ultra has the lower combined listed price. |
| Generation speedtokens per second | GLM-574 tok/s | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GLM-51.64 s | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GLM-5200K | Nemotron 3 Ultra1M | Nemotron 3 Ultra lists the larger context window. |
Benchmark Deep Dive
AgenticGLM-5 wins23 benchmarks
| Benchmark | GLM-5 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 56.2% | 56.4% | Nemotron 3 Ultra leads |
| Claw-EvalSource | 57.7% | — | Not comparable |
| QwenClawBenchSource | 54.1% | — | Not comparable |
| τ³-bench resultsSource | 65.6% | 70.9% | Nemotron 3 Ultra leads |
| 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% | 83.3% | GLM-5 leads |
| CyberGymSource | 43.2% | — | Not comparable |
| APEX-Agents-AASource | 14.5% | — | Not comparable |
| Gert LabsSource | 50.99% | — | Not comparable |
| PinchBenchSource | — | 90.0% | Not comparable |
| BrowseCompSource | — | 44.4% | Not comparable |
| GDPval-AASource | — | 33.2% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA Agentic IndexSource | — | 27.4% | Not comparable |
| GDPval-AASource | — | 1164 | Not comparable |
| AA BriefcaseSource | — | 870 | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
| AA Harvey LABSource | — | 81.7% | Not comparable |
| terminalBenchHardSource | — | 36.4% | Not comparable |
CodingGLM-5 wins10 benchmarks
| Benchmark | GLM-5 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 77.8% | 71.9% | GLM-5 leads |
| SWE-bench Verified*Source | 72.8% | — | Not comparable |
| SWE-bench ProSource | 55.1% | — | Not comparable |
| SWE MultilingualSource | 73.3% | 67.7% | GLM-5 leads |
| SWE-RebenchSource | 62.8% | — | Not comparable |
| React Native EvalsSource | 74.8% | — | Not comparable |
| AA-SciCodeSource | 46.2% | 39.9% | GLM-5 leads |
| SciCodeSource | — | 44.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
| AA Coding IndexSource | — | 49.3% | Not comparable |
ReasoningNemotron 3 Ultra wins4 benchmarks
KnowledgeGLM-5 wins14 benchmarks
| Benchmark | GLM-5 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| GPQASource | 86% | 87% | Nemotron 3 Ultra leads |
| GPQA-DSource | 86.0% | 87.0% | Nemotron 3 Ultra leads |
| SuperGPQASource | 66.8% | — | Not comparable |
| MMLU-ProSource | 85.7% | 86.8% | Nemotron 3 Ultra leads |
| MMLU-Pro (Arcee)Source | 85.8% | — | Not comparable |
| HLESource | 50.4% | 26.7% | GLM-5 leads |
| Artificial Analysis Intelligence IndexSource | 39.5% | 37.8% | GLM-5 leads |
| AA-GPQA DiamondSource | 82.0% | 86.7% | Nemotron 3 Ultra leads |
| AA-HLESource | 27.2% | 26.6% | GLM-5 leads |
| AA-Omniscience IndexSource | 2.0% | -0.8% | GLM-5 leads |
| AA-Omniscience AccuracySource | 26.9% | 21.6% | GLM-5 leads |
| AA-Omniscience Hallucination RateSource | 34.0% | 28.5% | Nemotron 3 Ultra leads |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Math8 benchmarks
| Benchmark | GLM-5 | Nemotron 3 Ultra | 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 |
MultilingualGLM-5 wins2 benchmarks
Multimodal1 benchmarks
| Benchmark | GLM-5 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1278 | 1129 | GLM-5 leads |
Frequently Asked Questions (7)
Which is better, GLM-5 or Nemotron 3 Ultra?
GLM-5 and Nemotron 3 Ultra are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, GLM-5 or Nemotron 3 Ultra?
GLM-5 has the edge for knowledge tasks in this comparison, averaging 66.4 versus 53.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for coding, GLM-5 or Nemotron 3 Ultra?
GLM-5 has the edge for coding in this comparison, averaging 66.3 versus 58.3. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for reasoning, GLM-5 or Nemotron 3 Ultra?
Nemotron 3 Ultra has the edge for reasoning in this comparison, averaging 61.9 versus 60.8. Inside this category, AA-LCR is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GLM-5 or Nemotron 3 Ultra?
GLM-5 has the edge for agentic tasks in this comparison, averaging 56.2 versus 51.3. Inside this category, τ²-bench results is the benchmark that creates the most daylight between them.
Which is better for instruction following, GLM-5 or Nemotron 3 Ultra?
GLM-5 has the edge for instruction following in this comparison, averaging 92.6 versus 81.7. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
Which is better for multilingual tasks, GLM-5 or Nemotron 3 Ultra?
GLM-5 has the edge for multilingual tasks in this comparison, averaging 83.1 versus 83. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.