Model comparison
GPT-5.2-Codex vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.2-Codex #66 (Supported); Nemotron 3 Nano Omni 30B A3B #159 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.2-Codex and Nemotron 3 Nano Omni 30B A3B share 12 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GPT-5.2-Codex; 17 to Nemotron 3 Nano Omni 30B A3B.
Updated July 27, 2026- Shared results
- 12
- GPT-5.2-Codex only
- 3
- Nemotron 3 Nano Omni 30B A3B only
- 17
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.2-Codex and Nemotron 3 Nano Omni 30B A3B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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.
GPT-5.2-Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano Omni 30B A3B. GPT-5.2-Codex has the larger context window at 400K, 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 | GPT-5.2-Codex | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | GPT-5.2-CodexNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B32.0 |
| Knowledge | GPT-5.2-CodexNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
| Multimodal | GPT-5.2-CodexNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
| Inst. Following | GPT-5.2-CodexNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B74.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.2-Codex | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.2-Codex$1.75 input / $14 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 | GPT-5.2-Codex123 tok/s | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.2-Codex87.34 s | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.2-Codex400K | Nemotron 3 Nano Omni 30B A3B256K | GPT-5.2-Codex lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | GPT-5.2-Codex | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.1% | 14.9% | GPT-5.2-Codex leads |
| AA-GPQA DiamondSource | 89.9% | 46.9% | GPT-5.2-Codex leads |
| AA-HLESource | 33.5% | 5.3% | GPT-5.2-Codex leads |
| AA-Omniscience IndexSource | -2.5% | -56.0% | GPT-5.2-Codex leads |
| AA-Omniscience AccuracySource | 40.7% | 14.8% | GPT-5.2-Codex leads |
| AA-Omniscience Hallucination RateSource | 72.8% | 83.1% | GPT-5.2-Codex leads |
| MMLU-ProSource | — | 77.3% | Not comparable |
| GPQASource | — | 72.2% | Not comparable |
| GPQA-DSource | — | 72.2% | Not comparable |
Math1 benchmarks
| Benchmark | GPT-5.2-Codex | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AIME 2025Source | — | 82.1% | Not comparable |
Multimodal8 benchmarks
| Benchmark | GPT-5.2-Codex | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 76.3% | 53.2% | GPT-5.2-Codex leads |
| 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 |
Frequently Asked Questions (3)
Can I compare GPT-5.2-Codex 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 GPT-5.2-Codex and Nemotron 3 Nano Omni 30B A3B today?
GPT-5.2-Codex: $1.75 input / $14.00 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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