Model comparison
GPT-5.5 Pro vs Nemotron 3.5 Lightning
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 40.0 on the Noometry Index. Nemotron 3.5 Lightning costs 771× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 26.8.
- Nemotron 3.5 Lightning is cheaper at $0.05 / $0.20 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 262K.
- Nemotron 3.5 Lightning has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Nemotron 3.5 Lightning | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 64.3 | 40.0 |
| Released | 2026-04-23 | 2026-08-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $30 | $0.05 |
| Output $ / M tokens | $180 | $0.20 |
| Results tracked | 14 | 18 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Nemotron 3.5 Lightning: 40.4 (#141)
| Benchmark | GPT-5.5 Pro | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Coding | — | 1375 |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Nemotron 3.5 Lightning: 26.8 (#127)
| Benchmark | GPT-5.5 Pro | Nemotron 3.5 Lightning |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1337 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.07 | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Nemotron 3.5 Lightning: 37.5 (#155)
| Benchmark | GPT-5.5 Pro | Nemotron 3.5 Lightning |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1359 |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Nemotron 3.5 Lightning: 37.5 (#154)
| Benchmark | GPT-5.5 Pro | Nemotron 3.5 Lightning |
|---|---|---|
| GPQA Diamond | 93.9% | — |
| LMArena Expert | — | 1356 |
Multilingual Not comparable
GPT-5.5 Pro: —, Nemotron 3.5 Lightning: 44.0 (#180)
| Benchmark | GPT-5.5 Pro | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Non-English | — | 1295 |
| LMArena Chinese | — | 1359 |
| LMArena French | — | 1366 |
| LMArena German | — | 1282 |
| LMArena Japanese | — | 1206 |
| LMArena Korean | — | 1238 |
| LMArena Russian | — | 1253 |
| LMArena Spanish | — | 1345 |
Instruction Following Not comparable
GPT-5.5 Pro: —, Nemotron 3.5 Lightning: 69.6 (#170)
| Benchmark | GPT-5.5 Pro | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Instruction Following | — | 1318 |
Long Context Not comparable
GPT-5.5 Pro: —, Nemotron 3.5 Lightning: 39.9 (#165)
| Benchmark | GPT-5.5 Pro | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Longer Query | — | 1314 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Nemotron 3.5 Lightning: 48.5 (#201)
| Benchmark | GPT-5.5 Pro | Nemotron 3.5 Lightning |
|---|---|---|
| LMArena Text | — | 1327 |
| LMArena Creative Writing | — | 1254 |
| EQ-Bench Creative Writing | — | 1280 |
| LMArena Multi-Turn | — | 1328 |
Frequently asked questions
Is GPT-5.5 Pro better than Nemotron 3.5 Lightning?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 40.0 on the Noometry Index. Nemotron 3.5 Lightning costs 771× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 Pro or Nemotron 3.5 Lightning?
Nemotron 3.5 Lightning is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do GPT-5.5 Pro and Nemotron 3.5 Lightning share?
0 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Nemotron 3.5 Lightning has 18.