Model comparison
Nemotron 3 Nano 30B vs Qwen3.6-27B
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Nemotron 3 Nano 30B #98 (Estimated); Qwen3.6-27B #93 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Nemotron 3 Nano 30B and Qwen3.6-27B share 15 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Nemotron 3 Nano 30B; 39 to Qwen3.6-27B.
Updated July 21, 2026- Shared results
- 15
- Nemotron 3 Nano 30B only
- 0
- Qwen3.6-27B only
- 39
- Comparable categories
- 0 / 8
Benchmark data for Nemotron 3 Nano 30B and Qwen3.6-27B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 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.
Qwen3.6-27B has the larger context window at 262K, compared with 32K for Nemotron 3 Nano 30B.
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 | Nemotron 3 Nano 30B | Δ | Qwen3.6-27B |
|---|---|---|---|
| Agentic | Nemotron 3 Nano 30BNot measured | MarginNo overlap | Qwen3.6-27B59.3 |
| Coding | Nemotron 3 Nano 30BNot measured | MarginNo overlap | Qwen3.6-27B77.5 |
| Knowledge | Nemotron 3 Nano 30BNot measured | MarginNo overlap | Qwen3.6-27B53.3 |
| Math | Nemotron 3 Nano 30BNot measured | MarginNo overlap | Qwen3.6-27B89.2 |
| Multimodal | Nemotron 3 Nano 30BNot measured | MarginNo overlap | Qwen3.6-27B76.7 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Nemotron 3 Nano 30B | Qwen3.6-27B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Nemotron 3 Nano 30B$0 input / $0 output | Qwen3.6-27B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Nemotron 3 Nano 30B152 tok/s | Qwen3.6-27BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Nemotron 3 Nano 30B1.90 s | Qwen3.6-27BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Nemotron 3 Nano 30B32K | Qwen3.6-27B262K | Qwen3.6-27B lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Nemotron 3 Nano 30B | Qwen3.6-27B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 40.9% | 94.2% | Qwen3.6-27B leads |
| GDPval-AASource | 0.0% | 32.0% | Qwen3.6-27B leads |
| GDPval-AASource | 484 | 1140 | Qwen3.6-27B leads |
| AA Agentic IndexSource | 2.0% | 27.0% | Qwen3.6-27B leads |
| Terminal-Bench 2.0Source | — | 59.3% | Not comparable |
| Claw-EvalSource | — | 72.4% | Not comparable |
| QwenClawBenchSource | — | 53.4% | Not comparable |
| QwenWebBenchSource | — | 1487 | Not comparable |
| AndroidWorldSource | — | 70.3% | Not comparable |
| Gert LabsSource | — | 54.84% | Not comparable |
Coding8 benchmarks
| Benchmark | Nemotron 3 Nano 30B | Qwen3.6-27B | Result |
|---|---|---|---|
| AA-SciCodeSource | 29.6% | 39.8% | Qwen3.6-27B leads |
| AA Coding IndexSource | 14.4% | 53.7% | Qwen3.6-27B leads |
| SWE-bench VerifiedSource | — | 77.2% | Not comparable |
| SWE MultilingualSource | — | 71.3% | Not comparable |
| SWE-bench ProSource | — | 53.5% | Not comparable |
| Terminal-Bench 2.0Source | — | 59.3% | Not comparable |
| LiveCodeBenchSource | — | 83.9% | Not comparable |
| NL2RepoSource | — | 36.2% | Not comparable |
Reasoning2 benchmarks
Knowledge12 benchmarks
| Benchmark | Nemotron 3 Nano 30B | Qwen3.6-27B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.2% | 37.0% | Qwen3.6-27B leads |
| AA-GPQA DiamondSource | 75.7% | 84.2% | Qwen3.6-27B leads |
| AA-HLESource | 10.2% | 21.6% | Qwen3.6-27B leads |
| AA-Omniscience IndexSource | -51.6% | -19.8% | Qwen3.6-27B leads |
| AA-Omniscience AccuracySource | 17.1% | 19.2% | Qwen3.6-27B leads |
| AA-Omniscience Hallucination RateSource | 82.9% | 48.3% | Qwen3.6-27B leads |
| MMLU-ProSource | — | 86.2% | Not comparable |
| MMLU-ReduxSource | — | 93.5% | Not comparable |
| SuperGPQASource | — | 66% | Not comparable |
| C-EvalSource | — | 91.4% | Not comparable |
| GPQASource | — | 87.8% | Not comparable |
| HLESource | — | 24% | Not comparable |
Math5 benchmarks
Multimodal16 benchmarks
| Benchmark | Nemotron 3 Nano 30B | Qwen3.6-27B | Result |
|---|---|---|---|
| MMMUSource | — | 82.9% | Not comparable |
| MMMU-ProSource | — | 75.8% | Not comparable |
| RealWorldQASource | — | 84.1% | Not comparable |
| DynaMathSource | — | 85.6% | Not comparable |
| MStarSource | — | 81.4% | Not comparable |
| SimpleVQASource | — | 56.1% | Not comparable |
| CharXivSource | — | 78.4% | Not comparable |
| CC-OCRSource | — | 81.2% | Not comparable |
| CountBenchSource | — | 97.8% | Not comparable |
| RefCOCO (avg)Source | — | 92.5% | Not comparable |
| ERQASource | — | 62.5% | Not comparable |
| Video-MME (with subtitle)Source | — | 87.7% | Not comparable |
| VideoMMMUSource | — | 84.4% | Not comparable |
| MLVU (M-Avg)Source | — | 86.6% | Not comparable |
| V*Source | — | 94.7% | Not comparable |
| AA-MMMU-ProSource | — | 74.6% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Nemotron 3 Nano 30B | Qwen3.6-27B | Result |
|---|---|---|---|
| AA-IFBenchSource | 71.1% | 67.6% | Nemotron 3 Nano 30B leads |
Frequently Asked Questions (3)
Can I compare Nemotron 3 Nano 30B and Qwen3.6-27B 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 Nemotron 3 Nano 30B and Qwen3.6-27B today?
Nemotron 3 Nano 30B: $0.00 input / $0.00 output per 1M tokens Qwen3.6-27B: $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.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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